diff --git a/docs/dia.md b/docs/dia.md new file mode 100644 index 00000000..1a9a08c8 --- /dev/null +++ b/docs/dia.md @@ -0,0 +1,3 @@ +## Data Inspection Assistant and Diagnosis + +::: polars_ds.diagnosis \ No newline at end of file diff --git a/examples/diagnosis.ipynb b/examples/diagnosis.ipynb index 976c26f2..f64d28a1 100644 --- a/examples/diagnosis.ipynb +++ b/examples/diagnosis.ipynb @@ -39,7 +39,7 @@ " white-space: pre-wrap;\n", "}\n", "\n", - "shape: (5, 6)
uniform_1uniform_2expnormalfat_normallist_prob
f64f64f64f64f64list[f64]
9.2605670.739685.773106-0.661701-1230.679835[0.73968, 0.26032]
7.1470340.9413622.990234-1.221843-588.418666[0.941362, 0.058638]
11.0603350.9594150.2807470.7338866.970369[0.959415, 0.040585]
9.3551450.4435160.816335-0.560877-137.755626[0.443516, 0.556484]
2.5107320.3712762.6135951.322347-1975.090166[0.371276, 0.628724]
" + "shape: (5, 6)
uniform_1uniform_2expnormalfat_normallist_prob
f64f64f64f64f64list[f64]
4.9703890.5108820.142537-1.3023571139.569888[0.510882, 0.489118]
0.6187050.2728240.3212822.220535-448.973342[0.272824, 0.727176]
6.9496170.0213020.651728-0.558591-1961.276928[0.021302, 0.978698]
3.1564920.7946720.1868530.377696-341.102321[0.794672, 0.205328]
3.8483370.2501670.574421-0.4155691343.114007[0.250167, 0.749833]
" ], "text/plain": [ "shape: (5, 6)\n", @@ -48,11 +48,11 @@ "│ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n", "│ f64 ┆ f64 ┆ f64 ┆ f64 ┆ f64 ┆ list[f64] │\n", "╞═══════════╪═══════════╪══════════╪═══════════╪══════════════╪══════════════════════╡\n", - "│ 9.260567 ┆ 0.73968 ┆ 5.773106 ┆ -0.661701 ┆ -1230.679835 ┆ [0.73968, 0.26032] │\n", - "│ 7.147034 ┆ 0.941362 ┆ 2.990234 ┆ -1.221843 ┆ -588.418666 ┆ [0.941362, 0.058638] │\n", - "│ 11.060335 ┆ 0.959415 ┆ 0.280747 ┆ 0.73388 ┆ 66.970369 ┆ [0.959415, 0.040585] │\n", - "│ 9.355145 ┆ 0.443516 ┆ 0.816335 ┆ -0.560877 ┆ -137.755626 ┆ [0.443516, 0.556484] │\n", - "│ 2.510732 ┆ 0.371276 ┆ 2.613595 ┆ 1.322347 ┆ -1975.090166 ┆ [0.371276, 0.628724] │\n", + "│ 4.970389 ┆ 0.510882 ┆ 0.142537 ┆ -1.302357 ┆ 1139.569888 ┆ [0.510882, 0.489118] │\n", + "│ 0.618705 ┆ 0.272824 ┆ 0.321282 ┆ 2.220535 ┆ -448.973342 ┆ [0.272824, 0.727176] │\n", + "│ 6.949617 ┆ 0.021302 ┆ 0.651728 ┆ -0.558591 ┆ -1961.276928 ┆ [0.021302, 0.978698] │\n", + "│ 3.156492 ┆ 0.794672 ┆ 0.186853 ┆ 0.377696 ┆ -341.102321 ┆ [0.794672, 0.205328] │\n", + "│ 3.848337 ┆ 0.250167 ┆ 0.574421 ┆ -0.415569 ┆ 1343.114007 ┆ [0.250167, 0.749833] │\n", "└───────────┴───────────┴──────────┴───────────┴──────────────┴──────────────────────┘" ] }, @@ -91,51 +91,92 @@ { "data": { "text/html": [ - "
\n", + "
\n", + "shape: (5, 7)
columnnull_countnull%NaN_countNaN%inf_countInf%
stru32f64u32f64u32f64
"uniform_1"00.000.000.0
"uniform_2"00.000.000.0
"exp"00.000.000.0
"normal"00.000.000.0
"fat_normal"00.000.000.0
" + ], + "text/plain": [ + "shape: (5, 7)\n", + "┌────────────┬────────────┬───────┬───────────┬──────┬───────────┬──────┐\n", + "│ column ┆ null_count ┆ null% ┆ NaN_count ┆ NaN% ┆ inf_count ┆ Inf% │\n", + "│ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n", + "│ str ┆ u32 ┆ f64 ┆ u32 ┆ f64 ┆ u32 ┆ f64 │\n", + "╞════════════╪════════════╪═══════╪═══════════╪══════╪═══════════╪══════╡\n", + "│ uniform_1 ┆ 0 ┆ 0.0 ┆ 0 ┆ 0.0 ┆ 0 ┆ 0.0 │\n", + "│ uniform_2 ┆ 0 ┆ 0.0 ┆ 0 ┆ 0.0 ┆ 0 ┆ 0.0 │\n", + "│ exp ┆ 0 ┆ 0.0 ┆ 0 ┆ 0.0 ┆ 0 ┆ 0.0 │\n", + "│ normal ┆ 0 ┆ 0.0 ┆ 0 ┆ 0.0 ┆ 0 ┆ 0.0 │\n", + "│ fat_normal ┆ 0 ┆ 0.0 ┆ 0 ┆ 0.0 ┆ 0 ┆ 0.0 │\n", + "└────────────┴────────────┴───────┴───────────┴──────┴───────────┴──────┘" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "dia.special_values_report()" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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container_padding_y=OptionsInfo(scss=False, category='container', type='px', value='10px'), container_overflow_x=OptionsInfo(scss=False, category='container', type='overflow', value='auto'), container_overflow_y=OptionsInfo(scss=False, category='container', type='overflow', value='auto'), quarto_disable_processing=OptionsInfo(scss=False, category='quarto', type='logical', value=False), quarto_use_bootstrap=OptionsInfo(scss=False, category='quarto', type='logical', value=False)), _has_built=False)" + "┌────────────┬────────────┬───────┬──────────┬───┬────────────┬────────────┬───────────┬───────────┐\n", + "│ column ┆ non_null_c ┆ null% ┆ mean ┆ … ┆ max ┆ IQR ┆ outlier_c ┆ histogram │\n", + "│ --- ┆ nt ┆ --- ┆ --- ┆ ┆ --- ┆ --- ┆ nt ┆ --- │\n", + "│ str ┆ --- ┆ f64 ┆ f64 ┆ ┆ f64 ┆ f64 ┆ --- ┆ struct[1] │\n", + "│ ┆ u32 ┆ ┆ ┆ ┆ ┆ ┆ u32 ┆ │\n", + "╞════════════╪════════════╪═══════╪══════════╪═══╪════════════╪════════════╪═══════════╪═══════════╡\n", + "│ uniform_1 ┆ 1000000 ┆ 0.0 ┆ 6.002712 ┆ … ┆ 11.999993 ┆ 5.99585 ┆ 0 ┆ {[49925, │\n", + "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ 49754, … │\n", + "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ 49871]} │\n", + "│ uniform_2 ┆ 1000000 ┆ 0.0 ┆ 0.500107 ┆ … ┆ 0.999997 ┆ 0.500353 ┆ 0 ┆ {[50073, │\n", + "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ 49857, … │\n", + "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ 50157]} │\n", + "│ exp ┆ 1000000 ┆ 0.0 ┆ 1.998326 ┆ … ┆ 25.994879 ┆ 2.19645 ┆ 47944 ┆ {[478130, │\n", + "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ 249371, … │\n", + "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ 2]} │\n", + "│ normal ┆ 1000000 ┆ 0.0 ┆ -0.00167 ┆ … ┆ 4.555755 ┆ 1.34972 ┆ 6893 ┆ {[9, 58, │\n", + "│ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ … 16]} │\n", + "│ fat_normal ┆ 1000000 ┆ 0.0 ┆ 0.011639 ┆ … ┆ 5227.13034 ┆ 1346.86933 ┆ 7042 ┆ {[5, 55, │\n", + "│ ┆ ┆ ┆ ┆ ┆ 3 ┆ 7 ┆ ┆ … 2]} │\n", + "└────────────┴────────────┴───────┴──────────┴───┴────────────┴────────────┴───────────┴───────────┘, _body=, _boxhead=Boxhead([ColInfo(var='column', type=, column_label='column', column_align='left', column_width=None), ColInfo(var='non_null_cnt', type=, column_label='non_null_cnt', 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column_label='histogram', column_align='center', column_width=None)]), _stub=, _spanners=Spanners([]), _heading=Heading(title=None, subtitle=None, preheader=None), _stubhead='column', _source_notes=[], _footnotes=[], _styles=[], _locale=, _formats=[, , ], _substitutions=[], _options=Options(table_id=OptionsInfo(scss=False, category='table', type='value', value=None), table_caption=OptionsInfo(scss=False, category='table', type='value', value=None), table_width=OptionsInfo(scss=True, category='table', type='px', value='auto'), table_layout=OptionsInfo(scss=True, category='table', type='value', value='fixed'), table_margin_left=OptionsInfo(scss=True, category='table', type='px', value='auto'), table_margin_right=OptionsInfo(scss=True, category='table', type='px', value='auto'), table_background_color=OptionsInfo(scss=True, category='table', type='value', value='#FFFFFF'), table_font_names=OptionsInfo(scss=False, category='table', type='values', value=['-apple-system', 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table_border_right_style=OptionsInfo(scss=True, category='table', type='value', value='none'), table_border_right_width=OptionsInfo(scss=True, category='table', type='px', value='2px'), table_border_right_color=OptionsInfo(scss=True, category='table', type='value', value='#D3D3D3'), table_border_bottom_include=OptionsInfo(scss=False, category='table', type='boolean', value=True), table_border_bottom_style=OptionsInfo(scss=True, category='table', type='value', value='solid'), table_border_bottom_width=OptionsInfo(scss=True, category='table', type='px', value='2px'), table_border_bottom_color=OptionsInfo(scss=True, category='table', type='value', value='#A8A8A8'), table_border_left_style=OptionsInfo(scss=True, category='table', type='value', value='none'), table_border_left_width=OptionsInfo(scss=True, category='table', type='px', value='2px'), table_border_left_color=OptionsInfo(scss=True, category='table', type='value', value='#D3D3D3'), heading_background_color=OptionsInfo(scss=True, category='heading', type='value', value=None), heading_align=OptionsInfo(scss=True, category='heading', type='value', value='center'), heading_title_font_size=OptionsInfo(scss=True, category='heading', type='px', value='125%'), heading_title_font_weight=OptionsInfo(scss=True, category='heading', type='value', value='initial'), heading_subtitle_font_size=OptionsInfo(scss=True, category='heading', type='px', value='85%'), heading_subtitle_font_weight=OptionsInfo(scss=True, category='heading', type='value', value='initial'), heading_padding=OptionsInfo(scss=True, category='heading', type='px', value='4px'), heading_padding_horizontal=OptionsInfo(scss=True, category='heading', type='px', value='5px'), heading_border_bottom_style=OptionsInfo(scss=True, category='heading', type='value', value='solid'), heading_border_bottom_width=OptionsInfo(scss=True, category='heading', type='px', value='2px'), heading_border_bottom_color=OptionsInfo(scss=True, category='heading', type='value', value='#D3D3D3'), heading_border_lr_style=OptionsInfo(scss=True, category='heading', type='value', value='none'), heading_border_lr_width=OptionsInfo(scss=True, category='heading', type='px', value='1px'), heading_border_lr_color=OptionsInfo(scss=True, category='heading', type='value', value='#D3D3D3'), column_labels_background_color=OptionsInfo(scss=True, category='column_labels', type='value', value=None), column_labels_font_size=OptionsInfo(scss=True, category='column_labels', type='px', value='100%'), column_labels_font_weight=OptionsInfo(scss=True, category='column_labels', type='value', value='normal'), column_labels_text_transform=OptionsInfo(scss=True, category='column_labels', type='value', value='inherit'), column_labels_padding=OptionsInfo(scss=True, category='column_labels', type='px', value='5px'), column_labels_padding_horizontal=OptionsInfo(scss=True, category='column_labels', type='px', value='5px'), column_labels_vlines_style=OptionsInfo(scss=True, category='table_body', type='value', value='none'), column_labels_vlines_width=OptionsInfo(scss=True, category='table_body', type='px', value='1px'), column_labels_vlines_color=OptionsInfo(scss=True, category='table_body', type='value', value='#D3D3D3'), column_labels_border_top_style=OptionsInfo(scss=True, category='column_labels', type='value', value='solid'), column_labels_border_top_width=OptionsInfo(scss=True, category='column_labels', type='px', value='2px'), column_labels_border_top_color=OptionsInfo(scss=True, category='column_labels', type='value', value='#D3D3D3'), column_labels_border_bottom_style=OptionsInfo(scss=True, category='column_labels', type='value', value='solid'), column_labels_border_bottom_width=OptionsInfo(scss=True, category='column_labels', type='px', value='2px'), column_labels_border_bottom_color=OptionsInfo(scss=True, category='column_labels', type='value', value='#D3D3D3'), column_labels_border_lr_style=OptionsInfo(scss=True, category='column_labels', type='value', value='none'), column_labels_border_lr_width=OptionsInfo(scss=True, category='column_labels', type='px', value='1px'), column_labels_border_lr_color=OptionsInfo(scss=True, category='column_labels', type='value', value='#D3D3D3'), column_labels_hidden=OptionsInfo(scss=False, category='column_labels', type='boolean', value=False), row_group_background_color=OptionsInfo(scss=True, category='row_group', type='value', value=None), row_group_font_size=OptionsInfo(scss=True, category='row_group', type='px', value='100%'), row_group_font_weight=OptionsInfo(scss=True, category='row_group', type='value', value='initial'), row_group_text_transform=OptionsInfo(scss=True, category='row_group', type='value', value='inherit'), row_group_padding=OptionsInfo(scss=True, category='row_group', type='px', value='8px'), row_group_padding_horizontal=OptionsInfo(scss=True, category='row_group', type='px', value='5px'), row_group_border_top_style=OptionsInfo(scss=True, category='row_group', type='value', value='solid'), row_group_border_top_width=OptionsInfo(scss=True, category='row_group', type='px', value='2px'), row_group_border_top_color=OptionsInfo(scss=True, category='row_group', type='value', value='#D3D3D3'), row_group_border_right_style=OptionsInfo(scss=True, category='row_group', type='value', value='none'), row_group_border_right_width=OptionsInfo(scss=True, category='row_group', type='px', value='1px'), row_group_border_right_color=OptionsInfo(scss=True, category='row_group', type='value', value='#D3D3D3'), row_group_border_bottom_style=OptionsInfo(scss=True, category='row_group', type='value', value='solid'), row_group_border_bottom_width=OptionsInfo(scss=True, category='row_group', type='px', value='2px'), row_group_border_bottom_color=OptionsInfo(scss=True, category='row_group', type='value', value='#D3D3D3'), row_group_border_left_style=OptionsInfo(scss=True, category='row_group', type='value', value='none'), row_group_border_left_width=OptionsInfo(scss=True, category='row_group', type='px', value='1px'), row_group_border_left_color=OptionsInfo(scss=True, category='row_group', type='value', value='#D3D3D3'), row_group_as_column=OptionsInfo(scss=False, category='row_group', type='boolean', value=False), table_body_hlines_style=OptionsInfo(scss=True, category='table_body', type='value', value='solid'), table_body_hlines_width=OptionsInfo(scss=True, category='table_body', type='px', value='1px'), table_body_hlines_color=OptionsInfo(scss=True, category='table_body', type='value', value='#D3D3D3'), table_body_vlines_style=OptionsInfo(scss=True, category='table_body', type='value', value='none'), table_body_vlines_width=OptionsInfo(scss=True, category='table_body', type='px', value='1px'), table_body_vlines_color=OptionsInfo(scss=True, category='table_body', type='value', value='#D3D3D3'), table_body_border_top_style=OptionsInfo(scss=True, category='table_body', type='value', value='solid'), table_body_border_top_width=OptionsInfo(scss=True, category='table_body', type='px', value='2px'), table_body_border_top_color=OptionsInfo(scss=True, category='table_body', type='value', value='#D3D3D3'), table_body_border_bottom_style=OptionsInfo(scss=True, category='table_body', type='value', value='solid'), table_body_border_bottom_width=OptionsInfo(scss=True, category='table_body', type='px', value='2px'), table_body_border_bottom_color=OptionsInfo(scss=True, category='table_body', type='value', value='#D3D3D3'), data_row_padding=OptionsInfo(scss=True, category='data_row', type='px', value='8px'), data_row_padding_horizontal=OptionsInfo(scss=True, category='data_row', type='px', value='5px'), stub_background_color=OptionsInfo(scss=True, category='stub', type='value', value=None), stub_font_size=OptionsInfo(scss=True, category='stub', type='px', value='100%'), stub_font_weight=OptionsInfo(scss=True, category='stub', type='value', value='initial'), stub_text_transform=OptionsInfo(scss=True, category='stub', type='value', value='inherit'), stub_border_style=OptionsInfo(scss=True, category='stub', type='value', value='solid'), stub_border_width=OptionsInfo(scss=True, category='stub', type='px', value='2px'), stub_border_color=OptionsInfo(scss=True, category='stub', type='value', value='#D3D3D3'), stub_row_group_background_color=OptionsInfo(scss=True, category='stub', type='value', value=None), stub_row_group_font_size=OptionsInfo(scss=True, category='stub', type='px', value='100%'), stub_row_group_font_weight=OptionsInfo(scss=True, category='stub', type='value', value='initial'), stub_row_group_text_transform=OptionsInfo(scss=True, category='stub', type='value', value='inherit'), stub_row_group_border_style=OptionsInfo(scss=True, category='stub', type='value', value='solid'), stub_row_group_border_width=OptionsInfo(scss=True, category='stub', type='px', value='2px'), stub_row_group_border_color=OptionsInfo(scss=True, category='stub', type='value', value='#D3D3D3'), source_notes_padding=OptionsInfo(scss=True, category='source_notes', type='px', value='4px'), source_notes_padding_horizontal=OptionsInfo(scss=True, category='source_notes', type='px', value='5px'), source_notes_background_color=OptionsInfo(scss=True, category='source_notes', type='value', value=None), source_notes_font_size=OptionsInfo(scss=True, category='source_notes', type='px', value='90%'), source_notes_border_bottom_style=OptionsInfo(scss=True, category='source_notes', type='value', value='none'), source_notes_border_bottom_width=OptionsInfo(scss=True, category='source_notes', type='px', value='2px'), source_notes_border_bottom_color=OptionsInfo(scss=True, category='source_notes', type='value', value='#D3D3D3'), source_notes_border_lr_style=OptionsInfo(scss=True, category='source_notes', type='value', value='none'), source_notes_border_lr_width=OptionsInfo(scss=True, category='source_notes', type='px', value='2px'), source_notes_border_lr_color=OptionsInfo(scss=True, category='source_notes', type='value', value='#D3D3D3'), source_notes_multiline=OptionsInfo(scss=False, category='source_notes', type='boolean', value=True), source_notes_sep=OptionsInfo(scss=False, category='source_notes', type='value', value=' '), container_width=OptionsInfo(scss=False, category='container', type='px', value='auto'), container_height=OptionsInfo(scss=False, category='container', type='px', value='auto'), container_padding_x=OptionsInfo(scss=False, category='container', type='px', value='0px'), container_padding_y=OptionsInfo(scss=False, category='container', type='px', value='10px'), container_overflow_x=OptionsInfo(scss=False, category='container', type='overflow', value='auto'), container_overflow_y=OptionsInfo(scss=False, category='container', type='overflow', value='auto'), quarto_disable_processing=OptionsInfo(scss=False, category='quarto', type='logical', value=False), quarto_use_bootstrap=OptionsInfo(scss=False, category='quarto', type='logical', value=False)), _has_built=False)" ] }, - "execution_count": 4, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# Only shows for numerical columns \n", - "dia.numeric_profile(n_bins=15)" + "# Only shows for numerical columns\n", + "dia.numeric_profile(histogram=True)" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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"uniform_1""exp"-0.00032
"exp""normal"0.000221
" + "shape: (10, 3)
xycorr
strstrf64
"uniform_1""fat_normal"-0.001516
"uniform_2""fat_normal"-0.001022
"uniform_1""exp"0.000912
"exp""fat_normal"0.000779
"uniform_2""exp"0.000707
"uniform_1""normal"0.000511
"normal""fat_normal"0.000366
"uniform_1""uniform_2"0.000221
"exp""normal"-0.000196
"uniform_2""normal"0.000033
" ], "text/plain": [ "shape: (10, 3)\n", @@ -299,20 +382,20 @@ "│ --- ┆ --- ┆ --- │\n", "│ str ┆ str ┆ f64 │\n", "╞═══════════╪════════════╪═══════════╡\n", - "│ uniform_2 ┆ normal ┆ 0.001947 │\n", - "│ uniform_2 ┆ exp ┆ 0.001906 │\n", - "│ uniform_1 ┆ normal ┆ 0.0013 │\n", - "│ uniform_1 ┆ uniform_2 ┆ 0.001146 │\n", - "│ uniform_2 ┆ fat_normal ┆ -0.000803 │\n", - "│ exp ┆ fat_normal ┆ -0.000787 │\n", - "│ normal ┆ fat_normal ┆ -0.0005 │\n", - "│ uniform_1 ┆ fat_normal ┆ 0.000484 │\n", - "│ uniform_1 ┆ exp ┆ -0.00032 │\n", - "│ exp ┆ normal ┆ 0.000221 │\n", + "│ uniform_1 ┆ fat_normal ┆ -0.001516 │\n", + "│ uniform_2 ┆ fat_normal ┆ -0.001022 │\n", + "│ uniform_1 ┆ exp ┆ 0.000912 │\n", + "│ exp ┆ fat_normal ┆ 0.000779 │\n", + "│ uniform_2 ┆ exp ┆ 0.000707 │\n", + "│ uniform_1 ┆ normal ┆ 0.000511 │\n", + "│ normal ┆ fat_normal ┆ 0.000366 │\n", + "│ uniform_1 ┆ uniform_2 ┆ 0.000221 │\n", + "│ exp ┆ normal ┆ -0.000196 │\n", + "│ uniform_2 ┆ normal ┆ 0.000033 │\n", "└───────────┴────────────┴───────────┘" ] }, - "execution_count": 5, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -323,7 +406,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 8, "metadata": {}, "outputs": [ { @@ -336,29 +419,29 @@ " white-space: pre-wrap;\n", "}\n", "\n", - "shape: (10, 3)
xycorr
strstrf64
"uniform_2""normal"0.001195
"uniform_2""exp"0.00117
"uniform_1""normal"0.000952
"uniform_1""uniform_2"0.000763
"normal""fat_normal"-0.000738
"exp""fat_normal"-0.000735
"uniform_2""fat_normal"-0.000469
"uniform_1""fat_normal"0.000393
"exp""normal"-0.000354
"uniform_1""exp"-0.000168
" + "shape: (10, 3)
xycorr
strstrf64
"uniform_1""fat_normal"-0.001064
"uniform_1""exp"0.000647
"uniform_2""fat_normal"-0.000593
"uniform_1""normal"0.000532
"normal""fat_normal"0.00034
"uniform_2""exp"0.000212
"exp""fat_normal"0.000185
"uniform_1""uniform_2"0.000146
"exp""normal"0.000134
"uniform_2""normal"-2.0011e-7
" ], "text/plain": [ "shape: (10, 3)\n", - "┌───────────┬────────────┬───────────┐\n", - "│ x ┆ y ┆ corr │\n", - "│ --- ┆ --- ┆ --- │\n", - "│ str ┆ str ┆ f64 │\n", - "╞═══════════╪════════════╪═══════════╡\n", - "│ uniform_2 ┆ normal ┆ 0.001195 │\n", - "│ uniform_2 ┆ exp ┆ 0.00117 │\n", - "│ uniform_1 ┆ normal ┆ 0.000952 │\n", - "│ uniform_1 ┆ uniform_2 ┆ 0.000763 │\n", - "│ normal ┆ fat_normal ┆ -0.000738 │\n", - "│ exp ┆ fat_normal ┆ -0.000735 │\n", - "│ uniform_2 ┆ fat_normal ┆ -0.000469 │\n", - "│ uniform_1 ┆ fat_normal ┆ 0.000393 │\n", - "│ exp ┆ normal ┆ -0.000354 │\n", - "│ uniform_1 ┆ exp ┆ -0.000168 │\n", - "└───────────┴────────────┴───────────┘" + "┌───────────┬────────────┬────────────┐\n", + "│ x ┆ y ┆ corr │\n", + "│ --- ┆ --- ┆ --- │\n", + "│ str ┆ str ┆ f64 │\n", + "╞═══════════╪════════════╪════════════╡\n", + "│ uniform_1 ┆ fat_normal ┆ -0.001064 │\n", + "│ uniform_1 ┆ exp ┆ 0.000647 │\n", + "│ uniform_2 ┆ fat_normal ┆ -0.000593 │\n", + "│ uniform_1 ┆ normal ┆ 0.000532 │\n", + "│ normal ┆ fat_normal ┆ 0.00034 │\n", + "│ uniform_2 ┆ exp ┆ 0.000212 │\n", + "│ exp ┆ fat_normal ┆ 0.000185 │\n", + "│ uniform_1 ┆ uniform_2 ┆ 0.000146 │\n", + "│ exp ┆ normal ┆ 0.000134 │\n", + "│ uniform_2 ┆ normal ┆ -2.0011e-7 │\n", + "└───────────┴────────────┴────────────┘" ] }, - "execution_count": 6, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -369,7 +452,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -394,7 +477,7 @@ " 'other_types': []}" ] }, - "execution_count": 7, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -405,7 +488,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -414,7 +497,7 @@ "['uniform_2', 'list_prob']" ] }, - "execution_count": 8, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -436,7 +519,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -449,7 +532,7 @@ " white-space: pre-wrap;\n", "}\n", "\n", - "shape: (5, 22)
IDGenderDOBLead_Creation_DateCity_CodeCity_CategoryEmployer_CodeEmployer_Category1Employer_Category2Monthly_IncomeCustomer_Existing_Primary_Bank_CodePrimary_Bank_TypeContactedSourceSource_CategoryExisting_EMILoan_AmountLoan_PeriodInterest_RateEMIVar1Approved
strstrstrstrstrstrstrstri64f64strstrstrstrstrf64i64i64f64i64i64i64
"APPC9049317122…"Female""23/07/79""15/07/16""C10001""A""COM0044082""A"42000.0"B001""P""N""S122""G"0.0nullnullnullnull00
"APPD4061126334…"Male""07/12/86""04/07/16""C10003""A""COM0000002""C"13500.0"B002""P""Y""S122""G"0.020000213.25953100
"APPE7028924942…"Male""10/12/82""19/07/16""C10125""C""COM0005267""C"42250.0"B003""G""Y""S143""B"0.0450004nullnull00
"APPF8027386553…"Male""30/01/89""09/07/16""C10477""C""COM0004143""A"43500.0"B003""G""Y""S143""B"0.0920005nullnull70
"APPG6099443664…"Male""19/04/85""20/07/16""C10002""A""COM0001781""A"410000.0"B001""P""Y""S134""B"2500.0500002nullnull100
" + "shape: (5, 22)
IDGenderDOBLead_Creation_DateCity_CodeCity_CategoryEmployer_CodeEmployer_Category1Employer_Category2Monthly_IncomeCustomer_Existing_Primary_Bank_CodePrimary_Bank_TypeContactedSourceSource_CategoryExisting_EMILoan_AmountLoan_PeriodInterest_RateEMIVar1Approved
strstrstrstrstrstrstrstri64f64strstrstrstrstrf64i64i64f64i64i64i64
"APPC90493171225""Female""23/07/79""15/07/16""C10001""A""COM0044082""A"42000.0"B001""P""N""S122""G"0.0nullnullnullnull00
"APPD40611263344""Male""07/12/86""04/07/16""C10003""A""COM0000002""C"13500.0"B002""P""Y""S122""G"0.020000213.25953100
"APPE70289249423""Male""10/12/82""19/07/16""C10125""C""COM0005267""C"42250.0"B003""G""Y""S143""B"0.0450004nullnull00
"APPF80273865537""Male""30/01/89""09/07/16""C10477""C""COM0004143""A"43500.0"B003""G""Y""S143""B"0.0920005nullnull70
"APPG60994436641""Male""19/04/85""20/07/16""C10002""A""COM0001781""A"410000.0"B001""P""Y""S134""B"2500.0500002nullnull100
" ], "text/plain": [ "shape: (5, 22)\n", @@ -472,7 +555,7 @@ "└────────────────┴────────┴──────────┴────────────────┴───┴───────────────┴──────┴──────┴──────────┘" ] }, - "execution_count": 9, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -484,7 +567,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -493,7 +576,7 @@ "(69713, 22)" ] }, - "execution_count": 10, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -504,7 +587,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -513,7 +596,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -533,30 +616,30 @@ " white-space: pre-wrap;\n", "}\n", "\n", - "shape: (171, 3)
columnbycond_entropy
strstrf64
"Gender""ID"0.0
"Contacted""ID"0.0
"Approved""ID"0.0
"Primary_Bank_T…"Customer_Exist…0.0
"Primary_Bank_T…"ID"0.0
"City_Category""City_Code"0.0
"City_Category""ID"0.0
"Employer_Categ…"Employer_Code"0.0
"Employer_Categ…"ID"0.0
"Employer_Categ…"Employer_Code"0.0
"Employer_Categ…"ID"0.0
"Var1""ID"0.0
………
"Loan_Amount""EMI"1.657243
"City_Code""DOB"1.667676
"Lead_Creation_…"DOB"2.116755
"Customer_Exist…"City_Code"2.400118
"Customer_Exist…"EMI"2.405894
"Customer_Exist…"Lead_Creation_…2.56051
"Customer_Exist…"Loan_Amount"2.560584
"Loan_Amount""City_Code"2.702889
"City_Code""EMI"3.147327
"Lead_Creation_…"EMI"3.92818
"Lead_Creation_…"City_Code"4.204907
"Lead_Creation_…"Loan_Amount"4.336805
" + "shape: (171, 3)
columnbycond_entropy
strstrf64
"Gender""ID"0.0
"Contacted""ID"0.0
"Approved""ID"0.0
"Primary_Bank_Type""Customer_Existing_Primary_Bank…0.0
"Primary_Bank_Type""ID"0.0
………
"Loan_Amount""City_Code"2.702889
"City_Code""EMI"3.147327
"Lead_Creation_Date""EMI"3.92818
"Lead_Creation_Date""City_Code"4.204907
"Lead_Creation_Date""Loan_Amount"4.336805
" ], "text/plain": [ "shape: (171, 3)\n", - "┌────────────────────┬───────────────────────────────────┬──────────────┐\n", - "│ column ┆ by ┆ cond_entropy │\n", - "│ --- ┆ --- ┆ --- │\n", - "│ str ┆ str ┆ f64 │\n", - "╞════════════════════╪═══════════════════════════════════╪══════════════╡\n", - "│ Gender ┆ ID ┆ 0.0 │\n", - "│ Contacted ┆ ID ┆ 0.0 │\n", - "│ Approved ┆ ID ┆ 0.0 │\n", - "│ Primary_Bank_Type ┆ Customer_Existing_Primary_Bank_C… ┆ 0.0 │\n", - "│ Primary_Bank_Type ┆ ID ┆ 0.0 │\n", - "│ … ┆ … ┆ … │\n", - "│ Loan_Amount ┆ City_Code ┆ 2.702889 │\n", - "│ City_Code ┆ EMI ┆ 3.147327 │\n", - "│ Lead_Creation_Date ┆ EMI ┆ 3.92818 │\n", - "│ Lead_Creation_Date ┆ City_Code ┆ 4.204907 │\n", - "│ Lead_Creation_Date ┆ Loan_Amount ┆ 4.336805 │\n", - "└────────────────────┴───────────────────────────────────┴──────────────┘" + "┌────────────────────┬─────────────────────────────────┬──────────────┐\n", + "│ column ┆ by ┆ cond_entropy │\n", + "│ --- ┆ --- ┆ --- │\n", + "│ str ┆ str ┆ f64 │\n", + "╞════════════════════╪═════════════════════════════════╪══════════════╡\n", + "│ Gender ┆ ID ┆ 0.0 │\n", + "│ Contacted ┆ ID ┆ 0.0 │\n", + "│ Approved ┆ ID ┆ 0.0 │\n", + "│ Primary_Bank_Type ┆ Customer_Existing_Primary_Bank… ┆ 0.0 │\n", + "│ Primary_Bank_Type ┆ ID ┆ 0.0 │\n", + "│ … ┆ … ┆ … │\n", + "│ Loan_Amount ┆ City_Code ┆ 2.702889 │\n", + "│ City_Code ┆ EMI ┆ 3.147327 │\n", + "│ Lead_Creation_Date ┆ EMI ┆ 3.92818 │\n", + "│ Lead_Creation_Date ┆ City_Code ┆ 4.204907 │\n", + "│ Lead_Creation_Date ┆ Loan_Amount ┆ 4.336805 │\n", + "└────────────────────┴─────────────────────────────────┴──────────────┘" ] }, - "execution_count": 12, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -567,7 +650,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, "metadata": {}, "outputs": [ { @@ -586,241 +669,241 @@ "\n", "\n", - "\n", + "\n", "\n", "Dependency Plot\n", - "\n", - "\n", + "\n", + "\n", "\n", - "Source\n", - "\n", - "Source\n", + "Contacted\n", + "\n", + "Contacted\n", "\n", "\n", "\n", "ID\n", - "\n", - "ID\n", + "\n", + "ID\n", "\n", - "\n", + "\n", "\n", - "ID->Source\n", - "\n", - "\n", + "ID->Contacted\n", + "\n", + "\n", "\n", - "\n", + "\n", "\n", - "City_Code\n", - "\n", - "City_Code\n", + "Gender\n", + "\n", + "Gender\n", "\n", - "\n", + "\n", "\n", - "ID->City_Code\n", - "\n", - "\n", + "ID->Gender\n", + "\n", + "\n", "\n", - "\n", + "\n", "\n", - "Approved\n", - "\n", - "Approved\n", + "Source\n", + "\n", + "Source\n", "\n", - "\n", + "\n", "\n", - "ID->Approved\n", - "\n", - "\n", + "ID->Source\n", + "\n", + "\n", "\n", - "\n", + "\n", "\n", - "DOB\n", - "\n", - "DOB\n", + "Lead_Creation_Date\n", + "\n", + "Lead_Creation_Date\n", "\n", - "\n", + "\n", "\n", - "ID->DOB\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Var1\n", - "\n", - "Var1\n", - "\n", - "\n", - "\n", - "ID->Var1\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Loan_Amount\n", - "\n", - "Loan_Amount\n", - "\n", - "\n", - "\n", - "ID->Loan_Amount\n", - "\n", - "\n", + "ID->Lead_Creation_Date\n", + "\n", + "\n", "\n", "\n", - "\n", + "\n", "Employer_Code\n", - "\n", - "Employer_Code\n", + "\n", + "Employer_Code\n", "\n", "\n", - "\n", + "\n", "ID->Employer_Code\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", - "\n", + "\n", "Customer_Existing_Primary_Bank_Code\n", - "\n", - "Customer_Existing_Primary_Bank_Code\n", + "\n", + "Customer_Existing_Primary_Bank_Code\n", "\n", "\n", - "\n", + "\n", "ID->Customer_Existing_Primary_Bank_Code\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Lead_Creation_Date\n", - "\n", - "Lead_Creation_Date\n", - "\n", - "\n", - "\n", - "ID->Lead_Creation_Date\n", - "\n", - "\n", + "\n", + "\n", "\n", - "\n", - "\n", - "EMI\n", - "\n", - "EMI\n", + "\n", + "\n", + "City_Code\n", + "\n", + "City_Code\n", "\n", - "\n", - "\n", - "ID->EMI\n", - "\n", - "\n", + "\n", + "\n", + "ID->City_Code\n", + "\n", + "\n", "\n", "\n", - "\n", + "\n", "Source_Category\n", - "\n", - "Source_Category\n", + "\n", + "Source_Category\n", "\n", "\n", - "\n", + "\n", "ID->Source_Category\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Contacted\n", - "\n", - "Contacted\n", - "\n", - "\n", - "\n", - "ID->Contacted\n", - "\n", - "\n", + "\n", + "\n", "\n", - "\n", - "\n", - "Gender\n", - "\n", - "Gender\n", + "\n", + "\n", + "DOB\n", + "\n", + "DOB\n", "\n", - "\n", - "\n", - "ID->Gender\n", - "\n", - "\n", + "\n", + "\n", + "ID->DOB\n", + "\n", + "\n", "\n", "\n", - "\n", + "\n", "Loan_Period\n", - "\n", - "Loan_Period\n", + "\n", + "Loan_Period\n", "\n", "\n", - "\n", + "\n", "ID->Loan_Period\n", - "\n", - "\n", + "\n", + "\n", "\n", - "\n", - "\n", - "City_Category\n", - "\n", - "City_Category\n", + "\n", + "\n", + "Var1\n", + "\n", + "Var1\n", "\n", - "\n", - "\n", - "City_Code->City_Category\n", - "\n", - "\n", + "\n", + "\n", + "ID->Var1\n", + "\n", + "\n", "\n", - "\n", - "\n", - "Employer_Category2\n", - "\n", - "Employer_Category2\n", + "\n", + "\n", + "Loan_Amount\n", + "\n", + "Loan_Amount\n", "\n", - "\n", - "\n", - "Employer_Code->Employer_Category2\n", - "\n", - "\n", + "\n", + "\n", + "ID->Loan_Amount\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Approved\n", + "\n", + "Approved\n", + "\n", + "\n", + "\n", + "ID->Approved\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "EMI\n", + "\n", + "EMI\n", + "\n", + "\n", + "\n", + "ID->EMI\n", + "\n", + "\n", "\n", "\n", - "\n", + "\n", "Employer_Category1\n", - "\n", - "Employer_Category1\n", + "\n", + "Employer_Category1\n", "\n", "\n", - "\n", + "\n", "Employer_Code->Employer_Category1\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "Employer_Category2\n", + "\n", + "Employer_Category2\n", + "\n", + "\n", + "\n", + "Employer_Code->Employer_Category2\n", + "\n", + "\n", "\n", "\n", - "\n", + "\n", "Primary_Bank_Type\n", - "\n", - "Primary_Bank_Type\n", + "\n", + "Primary_Bank_Type\n", "\n", "\n", - "\n", + "\n", "Customer_Existing_Primary_Bank_Code->Primary_Bank_Type\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "City_Category\n", + "\n", + "City_Category\n", + "\n", + "\n", + "\n", + "City_Code->City_Category\n", + "\n", + "\n", "\n", "\n", "\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 13, + "execution_count": 15, "metadata": {}, "output_type": "execute_result" } @@ -831,7 +914,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -850,85 +933,85 @@ "\n", "\n", - "\n", + "\n", "\n", "Dependency Plot\n", - "\n", - "\n", + "\n", + "\n", "\n", + "Primary_Bank_Type\n", + "\n", + "Primary_Bank_Type\n", + "\n", + "\n", + "\n", + "Customer_Existing_Primary_Bank_Code\n", + "\n", + "Customer_Existing_Primary_Bank_Code\n", + "\n", + "\n", + "\n", + "Customer_Existing_Primary_Bank_Code->Primary_Bank_Type\n", + "\n", + "\n", + "\n", + "\n", + "\n", "Employer_Category2\n", - "\n", - "Employer_Category2\n", + "\n", + "Employer_Category2\n", "\n", "\n", - "\n", + "\n", "Employer_Code\n", - "\n", - "Employer_Code\n", + "\n", + "Employer_Code\n", "\n", "\n", - "\n", + "\n", "Employer_Code->Employer_Category2\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", - "\n", + "\n", "Employer_Category1\n", - "\n", - "Employer_Category1\n", + "\n", + "Employer_Category1\n", "\n", "\n", - "\n", - "Employer_Code->Employer_Category1\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "Primary_Bank_Type\n", - "\n", - "Primary_Bank_Type\n", - "\n", - "\n", - "\n", - "Customer_Existing_Primary_Bank_Code\n", - "\n", - "Customer_Existing_Primary_Bank_Code\n", - "\n", - "\n", "\n", - "Customer_Existing_Primary_Bank_Code->Primary_Bank_Type\n", - "\n", - "\n", + "Employer_Code->Employer_Category1\n", + "\n", + "\n", "\n", "\n", "\n", "City_Category\n", - "\n", - "City_Category\n", + "\n", + "City_Category\n", "\n", "\n", "\n", "City_Code\n", - "\n", - "City_Code\n", + "\n", + "City_Code\n", "\n", "\n", "\n", "City_Code->City_Category\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n" ], "text/plain": [ - "" + "" ] }, - "execution_count": 14, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -941,7 +1024,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 17, "metadata": {}, "outputs": [ { @@ -954,7 +1037,7 @@ " white-space: pre-wrap;\n", "}\n", "\n", - "shape: (13, 13)
columnnull_countn_uniquemost_freqmost_freq_cntmin_byte_lenmin_char_lenavg_byte_lenavg_char_lenmax_byte_lenmax_char_len5p_byte_len95p_byte_len
stru32u32stru32u32u32f64f64u32u32f64f64
"ID"069713"APPC9049317122…1151515.015.0151515.015.0
"Gender"02"Male"39949444.8539014.853901664.06.0
"DOB"1510760"11/01/82"253888.08.0888.08.0
"Lead_Creation_…092"02/09/16"1838888.08.0888.08.0
"City_Code"814679"C10001"10007666.06.0666.06.0
"City_Category"8144"A"49885111.01.0111.01.0
"Employer_Code"401836618null4018101010.010.0101010.010.0
"Employer_Categ…40184"A"33336111.01.0111.01.0
"Customer_Exist…939158"B001"14197444.04.0444.04.0
"Primary_Bank_T…93913"P"39619111.01.0111.01.0
"Contacted"02"Y"45275111.01.0111.01.0
"Source"029"S122"30941444.04.0444.04.0
"Source_Categor…07"B"29812111.01.0111.01.0
" + "shape: (13, 13)
columnnull_countn_uniquemost_freqmost_freq_cntmin_byte_lenmin_char_lenavg_byte_lenavg_char_lenmax_byte_lenmax_char_len5p_byte_len95p_byte_len
stru32u32stru32u32u32f64f64u32u32f64f64
"ID"069713"APPC90493171225"1151515.015.0151515.015.0
"Gender"02"Male"39949444.8539014.853901664.06.0
"DOB"1510760"11/01/82"253888.08.0888.08.0
"Lead_Creation_Date"092"02/09/16"1838888.08.0888.08.0
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…………………………………
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" ], "text/plain": [ "shape: (13, 13)\n", @@ -975,7 +1058,7 @@ "│ Customer_ ┆ 9391 ┆ 58 ┆ B001 ┆ … ┆ 4 ┆ 4 ┆ 4.0 ┆ 4.0 │\n", "│ Existing_ ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ │\n", "│ Primary_B ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ │\n", - "│ ank_C… ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ │\n", + "│ ank… ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ │\n", "│ Primary_B ┆ 9391 ┆ 3 ┆ P ┆ … ┆ 1 ┆ 1 ┆ 1.0 ┆ 1.0 │\n", "│ ank_Type ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ │\n", "│ Contacted ┆ 0 ┆ 2 ┆ Y ┆ … ┆ 1 ┆ 1 ┆ 1.0 ┆ 1.0 │\n", @@ -985,7 +1068,7 @@ "└───────────┴───────────┴──────────┴───────────┴───┴───────────┴───────────┴───────────┴───────────┘" ] }, - "execution_count": 15, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -996,57 +1079,57 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
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value=False), quarto_use_bootstrap=OptionsInfo(scss=False, category='quarto', type='logical', value=False)), _has_built=False)" ] }, - "execution_count": 16, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -1256,7 +1339,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 19, "metadata": {}, "outputs": [ { @@ -1269,7 +1352,7 @@ " white-space: pre-wrap;\n", "}\n", "\n", - "shape: (2, 10)
histogram
Employer_Category2654156.17%3.7200.8071.0004.0004.0004.0004.0000.0007833
57.6K04.30K4.26K1.96K1.62K57.6K
Monthly_Income697130.00%5,622.283174,767.0620.0001,650.0002,500.0004,000.00038,383,838.3002,350.0003920
69.7K069.7K53411
Existing_EMI696620.07%360.9292,288.5180.0000.0000.000350.000545,436.500350.0006549
69.7K069.7K511
Loan_Amount4200439.75%39,429.98330,727.5965,000.00020,000.00030,000.00050,000.000300,000.00030,000.0001547
27.7K027.7K8.65K15.0K6.42K5.98K1.61K1.03K1.72K5881556272659857294324
Loan_Period4200439.75%3.8911.1671.0003.0004.0005.0006.0002.0000
27.7K027.7K1.89K4.27K7.06K12.1K16.7K1
Interest_Rate2227668.05%19.2145.84711.99015.25018.00020.00037.0004.7502378
4.35K07582.75K4.35K2.44K1.44K2.44K3.97K15685865712184797321.43K290407240
EMI2227668.05%1,101.466752.661118.000649.000941.0001,295.00013,556.000646.0001081
47.4K047.4K8.18K9.89K2.41K9793702631064617121112
Var1697130.00%3.9483.8190.0000.0002.0007.00010.0007.0000
23.3K023.3K13.4K7.67K11.9K13.4K
Approved697130.00%0.0150.1200.0000.0000.0000.0001.0000.0001020
68.7K068.7K1.02K
Employer_Category2654156.17%3.7200.8071.0004.0004.0004.0004.0000.0007833
57.6K04.30K4.26K1.96K1.62K57.6K
Monthly_Income697130.00%5,622.283174,767.0620.0001,650.0002,500.0004,000.00038,383,838.3002,350.0003920
69.7K069.7K53411
Existing_EMI696620.07%360.9292,288.5180.0000.0000.000350.000545,436.500350.0006549
69.7K069.7K511
Loan_Amount4200439.75%39,429.98330,727.5965,000.00020,000.00030,000.00050,000.000300,000.00030,000.0001547
27.7K027.7K8.65K15.0K6.42K5.98K1.61K1.03K1.72K5881556272659857294324
Loan_Period4200439.75%3.8911.1671.0003.0004.0005.0006.0002.0000
27.7K027.7K1.89K4.27K7.06K12.1K16.7K1
Interest_Rate2227668.05%19.2145.84711.99015.25018.00020.00037.0004.7502378
4.35K07582.75K4.35K2.44K1.44K2.44K3.97K15685865712184797321.43K290407240
EMI2227668.05%1,101.466752.661118.000649.000941.0001,295.00013,556.000646.0001081
47.4K047.4K8.18K9.89K2.41K9793702631064617121112
Var1697130.00%3.9483.8190.0000.0002.0007.00010.0007.0000
23.3K023.3K13.4K7.67K11.9K13.4K
Approved697130.00%0.0150.1200.0000.0000.0000.0001.0000.0001020
68.7K068.7K1.02K
columnEmployer_Category2Monthly_IncomeExisting_EMILoan_AmountLoan_PeriodInterest_RateEMIVar1Approved
strf64f64f64f64f64f64f64f64f64
"Monthly_Income…0.0015461.00.2458260.039998-0.003671-0.0147890.0351630.0248540.000472
"Existing_EMI"-0.0170740.2458261.00.008653-0.004603-0.0230010.0008130.006620.027821
" + "shape: (2, 10)
columnEmployer_Category2Monthly_IncomeExisting_EMILoan_AmountLoan_PeriodInterest_RateEMIVar1Approved
strf64f64f64f64f64f64f64f64f64
"Monthly_Income"0.0015461.00.2458260.039998-0.003671-0.0147890.0351630.0248540.000472
"Existing_EMI"-0.0170740.2458261.00.008653-0.004603-0.0230010.0008130.006620.027821
" ], "text/plain": [ "shape: (2, 10)\n", @@ -1286,7 +1369,7 @@ "└────────────┴────────────┴───────────┴───────────┴───┴───────────┴──────────┴──────────┴──────────┘" ] }, - "execution_count": 17, + "execution_count": 19, "metadata": {}, "output_type": "execute_result" } @@ -1299,7 +1382,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -1307,7 +1390,7 @@ "output_type": "stream", "text": [ "INFO:polars_ds.diagnosis:The following columns are not numeric or not in the dataframe, skipped: \n", - "['Lead_Creation_Date', 'Gender', 'Primary_Bank_Type', 'ID', 'Customer_Existing_Primary_Bank_Code', 'City_Code', 'Contacted', 'Source', 'Source_Category', 'Employer_Code', 'Employer_Category1', 'City_Category', 'DOB']\n" + "['Lead_Creation_Date', 'Primary_Bank_Type', 'Source_Category', 'Source', 'Customer_Existing_Primary_Bank_Code', 'City_Code', 'DOB', 'City_Category', 'Employer_Code', 'ID', 'Contacted', 'Employer_Category1', 'Gender']\n" ] }, { @@ -1320,7 +1403,7 @@ " white-space: pre-wrap;\n", "}\n", "\n", - "shape: (9, 10)
columnEmployer_Category2Monthly_IncomeExisting_EMILoan_AmountLoan_PeriodInterest_RateEMIVar1Approved
strf64f64f64f64f64f64f64f64f64
"Employer_Categ…1.00.001546-0.017074-0.061479-0.0074490.177605-0.051729-0.124415-0.019413
"Monthly_Income…0.0015461.00.2458260.039998-0.003671-0.0147890.0351630.0248540.000472
"Existing_EMI"-0.0170740.2458261.00.008653-0.004603-0.0230010.0008130.006620.027821
"Loan_Amount"-0.0614790.0399980.0086531.00.379921-0.3210950.9168320.3079450.046502
"Loan_Period"-0.007449-0.003671-0.0046030.3799211.0-0.0966290.083965-0.065702-0.000375
"Interest_Rate"0.177605-0.014789-0.023001-0.321095-0.0966291.0-0.241648-0.554138-0.094387
"EMI"-0.0517290.0351630.0008130.9168320.083965-0.2416481.00.2934740.050129
"Var1"-0.1244150.0248540.006620.307945-0.065702-0.5541380.2934741.00.11244
"Approved"-0.0194130.0004720.0278210.046502-0.000375-0.0943870.0501290.112441.0
" + "shape: (9, 10)
columnEmployer_Category2Monthly_IncomeExisting_EMILoan_AmountLoan_PeriodInterest_RateEMIVar1Approved
strf64f64f64f64f64f64f64f64f64
"Employer_Category2"1.00.001546-0.017074-0.061479-0.0074490.177605-0.051729-0.124415-0.019413
"Monthly_Income"0.0015461.00.2458260.039998-0.003671-0.0147890.0351630.0248540.000472
"Existing_EMI"-0.0170740.2458261.00.008653-0.004603-0.0230010.0008130.006620.027821
"Loan_Amount"-0.0614790.0399980.0086531.00.379921-0.3210950.9168320.3079450.046502
"Loan_Period"-0.007449-0.003671-0.0046030.3799211.0-0.0966290.083965-0.065702-0.000375
"Interest_Rate"0.177605-0.014789-0.023001-0.321095-0.0966291.0-0.241648-0.554138-0.094387
"EMI"-0.0517290.0351630.0008130.9168320.083965-0.2416481.00.2934740.050129
"Var1"-0.1244150.0248540.006620.307945-0.065702-0.5541380.2934741.00.11244
"Approved"-0.0194130.0004720.0278210.046502-0.000375-0.0943870.0501290.112441.0
" ], "text/plain": [ "shape: (9, 10)\n", @@ -1348,7 +1431,7 @@ "└───────────┴───────────┴───────────┴───────────┴───┴───────────┴───────────┴───────────┴──────────┘" ] }, - "execution_count": 18, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -1359,57 +1442,57 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
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\n", "\n", "\n", @@ -1427,30 +1510,30 @@ " \n", "\n", "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - " \n", - "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", "\n", "\n", "\n", @@ -1471,10 +1554,10 @@ "│ come ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ │\n", "│ Existing_E ┆ -0.017074 ┆ 0.245826 ┆ 1.0 ┆ … ┆ -0.023001 ┆ 0.000813 ┆ 0.00662 ┆ 0.027821 │\n", "│ MI ┆ ┆ ┆ ┆ ┆ ┆ ┆ ┆ │\n", - "└────────────┴────────────┴───────────┴───────────┴───┴───────────┴──────────┴──────────┴──────────┘, _body=, _boxhead=Boxhead([ColInfo(var='column', type=, column_label='column', column_align='left', column_width=None), ColInfo(var='Employer_Category2', type=, column_label='Employer_Category2', 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group_label=None, built=False)]), _row_groups=[], _group_rows=GroupRows([]), _spanners=Spanners([]), _heading=Heading(title=None, subtitle=None, preheader=None), _stubhead=None, _source_notes=[], _footnotes=[], _styles=[StyleInfo(locname='data', locnum=5, grpname=None, colname='Employer_Category2', rownum=0, colnum=None, styles=[CellStyleText(color='#FFFFFF', font=None, size=None, align=None, v_align=None, style=None, weight=None, stretch=None, decorate=None, transform=None, whitespace=None), CellStyleFill(color='#60027a')]), StyleInfo(locname='data', locnum=5, grpname=None, colname='Employer_Category2', rownum=1, colnum=None, styles=[CellStyleText(color='#FFFFFF', font=None, size=None, align=None, v_align=None, style=None, weight=None, stretch=None, decorate=None, transform=None, whitespace=None), CellStyleFill(color='#5e027b')]), StyleInfo(locname='data', locnum=5, grpname=None, colname='Monthly_Income', rownum=0, colnum=None, styles=[CellStyleText(color='#FFFFFF', font=None, size=None, align=None, v_align=None, style=None, weight=None, stretch=None, decorate=None, transform=None, whitespace=None), CellStyleFill(color='#bd0237')]), StyleInfo(locname='data', locnum=5, grpname=None, colname='Monthly_Income', rownum=1, colnum=None, styles=[CellStyleText(color='#FFFFFF', font=None, size=None, align=None, v_align=None, style=None, weight=None, stretch=None, decorate=None, transform=None, whitespace=None), CellStyleFill(color='#76026a')]), StyleInfo(locname='data', locnum=5, grpname=None, colname='Existing_EMI', rownum=0, colnum=None, styles=[CellStyleText(color='#FFFFFF', font=None, size=None, align=None, v_align=None, style=None, weight=None, stretch=None, decorate=None, transform=None, whitespace=None), CellStyleFill(color='#76026a')]), StyleInfo(locname='data', locnum=5, grpname=None, colname='Existing_EMI', rownum=1, colnum=None, styles=[CellStyleText(color='#FFFFFF', font=None, size=None, align=None, v_align=None, style=None, weight=None, stretch=None, decorate=None, transform=None, whitespace=None), CellStyleFill(color='#bd0237')]), StyleInfo(locname='data', locnum=5, grpname=None, colname='Loan_Amount', rownum=0, colnum=None, styles=[CellStyleText(color='#FFFFFF', font=None, size=None, align=None, v_align=None, style=None, weight=None, stretch=None, decorate=None, transform=None, whitespace=None), CellStyleFill(color='#630277')]), StyleInfo(locname='data', locnum=5, grpname=None, colname='Loan_Amount', rownum=1, colnum=None, styles=[CellStyleText(color='#FFFFFF', font=None, size=None, align=None, v_align=None, style=None, weight=None, stretch=None, decorate=None, transform=None, whitespace=None), CellStyleFill(color='#600279')]), StyleInfo(locname='data', locnum=5, grpname=None, colname='Loan_Period', rownum=0, colnum=None, styles=[CellStyleText(color='#FFFFFF', font=None, size=None, align=None, v_align=None, style=None, weight=None, stretch=None, decorate=None, transform=None, whitespace=None), CellStyleFill(color='#5f027a')]), StyleInfo(locname='data', locnum=5, grpname=None, colname='Loan_Period', rownum=1, colnum=None, styles=[CellStyleText(color='#FFFFFF', font=None, size=None, align=None, v_align=None, style=None, weight=None, stretch=None, decorate=None, transform=None, whitespace=None), CellStyleFill(color='#5f027a')]), StyleInfo(locname='data', locnum=5, grpname=None, colname='Interest_Rate', rownum=0, colnum=None, styles=[CellStyleText(color='#FFFFFF', font=None, size=None, align=None, v_align=None, style=None, weight=None, stretch=None, decorate=None, transform=None, whitespace=None), CellStyleFill(color='#5e027b')]), StyleInfo(locname='data', locnum=5, grpname=None, colname='Interest_Rate', rownum=1, colnum=None, styles=[CellStyleText(color='#FFFFFF', font=None, size=None, align=None, v_align=None, style=None, weight=None, stretch=None, decorate=None, transform=None, whitespace=None), CellStyleFill(color='#5d027c')]), StyleInfo(locname='data', locnum=5, grpname=None, colname='EMI', rownum=0, 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style=None, weight=None, stretch=None, decorate=None, transform=None, whitespace=None), CellStyleFill(color='#60027a')]), StyleInfo(locname='data', locnum=5, grpname=None, colname='Approved', rownum=0, colnum=None, styles=[CellStyleText(color='#FFFFFF', font=None, size=None, align=None, v_align=None, style=None, weight=None, stretch=None, decorate=None, transform=None, whitespace=None), CellStyleFill(color='#60027a')]), StyleInfo(locname='data', locnum=5, grpname=None, colname='Approved', rownum=1, colnum=None, styles=[CellStyleText(color='#FFFFFF', font=None, size=None, align=None, v_align=None, style=None, weight=None, stretch=None, decorate=None, transform=None, whitespace=None), CellStyleFill(color='#620278')])], _locale=, _formats=[], _substitutions=[], _options=Options(table_id=OptionsInfo(scss=False, category='table', type='value', value=None), table_caption=OptionsInfo(scss=False, category='table', type='value', value=None), table_width=OptionsInfo(scss=True, category='table', 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[ - "
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Approved
Monthly_Income0.0021.0000.2460.040−0.004−0.0150.0350.0250.000
Existing_EMI−0.0170.2461.0000.009−0.005−0.0230.0010.0070.028
Monthly_Income0.0021.0000.2460.040−0.004−0.0150.0350.0250.000
Existing_EMI−0.0170.2461.0000.009−0.005−0.0230.0010.0070.028
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-1700,10 +1783,10 @@ "│ EMI ┆ -0.051729 ┆ 0.035163 ┆ 0.000813 ┆ … ┆ -0.241648 ┆ 1.0 ┆ 0.293474 ┆ 0.050129 │\n", "│ Var1 ┆ -0.124415 ┆ 0.024854 ┆ 0.00662 ┆ … ┆ -0.554138 ┆ 0.293474 ┆ 1.0 ┆ 0.11244 │\n", "│ Approved ┆ -0.019413 ┆ 0.000472 ┆ 0.027821 ┆ … ┆ -0.094387 ┆ 0.050129 ┆ 0.11244 ┆ 1.0 │\n", - "└───────────┴───────────┴───────────┴───────────┴───┴───────────┴───────────┴───────────┴──────────┘, _body=, _boxhead=Boxhead([ColInfo(var='column', type=, column_label='column', column_align='left', column_width=None), ColInfo(var='Employer_Category2', type=, column_label='Employer_Category2', column_align='right', column_width=None), ColInfo(var='Monthly_Income', type=, column_label='Monthly_Income', column_align='right', column_width=None), ColInfo(var='Existing_EMI', type=, column_label='Existing_EMI', column_align='right', column_width=None), ColInfo(var='Loan_Amount', type=, column_label='Loan_Amount', column_align='right', column_width=None), ColInfo(var='Loan_Period', type=, 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quarto_use_bootstrap=OptionsInfo(scss=False, category='quarto', type='logical', value=False)), _has_built=False)" + "└───────────┴───────────┴───────────┴───────────┴───┴───────────┴───────────┴───────────┴──────────┘, _body=, _boxhead=Boxhead([ColInfo(var='column', type=, column_label='column', column_align='left', column_width=None), ColInfo(var='Employer_Category2', type=, column_label='Employer_Category2', column_align='right', column_width=None), ColInfo(var='Monthly_Income', type=, column_label='Monthly_Income', column_align='right', column_width=None), ColInfo(var='Existing_EMI', type=, column_label='Existing_EMI', column_align='right', column_width=None), ColInfo(var='Loan_Amount', type=, column_label='Loan_Amount', column_align='right', column_width=None), ColInfo(var='Loan_Period', type=, column_label='Loan_Period', column_align='right', column_width=None), ColInfo(var='Interest_Rate', type=, column_label='Interest_Rate', column_align='right', column_width=None), 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\n", + "
\n", "\n", "
Approved
Employer_Category21.0000.002−0.017−0.061−0.0070.178−0.052−0.124−0.019
Monthly_Income0.0021.0000.2460.040−0.004−0.0150.0350.0250.000
Existing_EMI−0.0170.2461.0000.009−0.005−0.0230.0010.0070.028
Loan_Amount−0.0610.0400.0091.0000.380−0.3210.9170.3080.047
Loan_Period−0.007−0.004−0.0050.3801.000−0.0970.084−0.066−0.000
Interest_Rate0.178−0.015−0.023−0.321−0.0971.000−0.242−0.554−0.094
EMI−0.0520.0350.0010.9170.084−0.2421.0000.2930.050
Var1−0.1240.0250.0070.308−0.066−0.5540.2931.0000.112
Approved−0.0190.0000.0280.047−0.000−0.0940.0500.1121.000
Employer_Category21.0000.002−0.017−0.061−0.0070.178−0.052−0.124−0.019
Monthly_Income0.0021.0000.2460.040−0.004−0.0150.0350.0250.000
Existing_EMI−0.0170.2461.0000.009−0.005−0.0230.0010.0070.028
Loan_Amount−0.0610.0400.0091.0000.380−0.3210.9170.3080.047
Loan_Period−0.007−0.004−0.0050.3801.000−0.0970.084−0.066−0.000
Interest_Rate0.178−0.015−0.023−0.321−0.0971.000−0.242−0.554−0.094
EMI−0.0520.0350.0010.9170.084−0.2421.0000.2930.050
Var1−0.1240.0250.0070.308−0.066−0.5540.2931.0000.112
Approved−0.0190.0000.0280.047−0.000−0.0940.0500.1121.000
\n", @@ -1780,60 +1863,60 @@ " \n", "\n", "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", "\n", "\n", "\n", @@ -1844,24 +1927,24 @@ ], "text/plain": [ "GT(_tbl_data=shape: (9, 4)\n", - "┌────────────────────┬───────────────────────────────────┬──────────┬───────┐\n", - "│ column ┆ percentages in row groups ┆ null% ┆ total │\n", - "│ --- ┆ --- ┆ --- ┆ --- │\n", - "│ str ┆ struct[1] ┆ f64 ┆ i32 │\n", - "╞════════════════════╪═══════════════════════════════════╪══════════╪═══════╡\n", - "│ Employer_Category2 ┆ {[0.014347, 0.010043, … 0.0]} ┆ 0.061653 ┆ 69713 │\n", - "│ Monthly_Income ┆ {[0.0, 0.0, … 0.0]} ┆ 0.0 ┆ 69713 │\n", - "│ Existing_EMI ┆ {[0.0, 0.0, … 0.0]} ┆ 0.000732 ┆ 69713 │\n", - "│ Loan_Amount ┆ {[0.337159, 0.353659, … 0.307692… ┆ 0.397472 ┆ 69713 │\n", - "│ Loan_Period ┆ {[0.337159, 0.353659, … 0.307692… ┆ 0.397472 ┆ 69713 │\n", - "│ Interest_Rate ┆ {[0.631277, 0.631994, … 0.615385… ┆ 0.680461 ┆ 69713 │\n", - "│ EMI ┆ {[0.631277, 0.631994, … 0.615385… ┆ 0.680461 ┆ 69713 │\n", - "│ Var1 ┆ {[0.0, 0.0, … 0.0]} ┆ 0.0 ┆ 69713 │\n", - "│ Approved ┆ {[0.0, 0.0, … 0.0]} ┆ 0.0 ┆ 69713 │\n", - "└────────────────────┴───────────────────────────────────┴──────────┴───────┘, _body=, _boxhead=Boxhead([ColInfo(var='column', type=, column_label='column', column_align='left', column_width=None), ColInfo(var='percentages in row groups', type=, column_label='percentages in row groups', column_align='center', column_width=None), ColInfo(var='null%', type=, column_label='null%', column_align='right', column_width=None), ColInfo(var='total', type=, column_label='total', column_align='right', column_width=None)]), _stub=Stub([RowInfo(rownum_i=0, group_id=None, rowname='Employer_Category2', group_label=None, built=False), RowInfo(rownum_i=1, group_id=None, rowname='Monthly_Income', group_label=None, built=False), RowInfo(rownum_i=2, group_id=None, rowname='Existing_EMI', group_label=None, built=False), RowInfo(rownum_i=3, group_id=None, rowname='Loan_Amount', group_label=None, built=False), RowInfo(rownum_i=4, group_id=None, rowname='Loan_Period', 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source_notes_border_bottom_width=OptionsInfo(scss=True, category='source_notes', type='px', value='2px'), source_notes_border_bottom_color=OptionsInfo(scss=True, category='source_notes', type='value', value='#D3D3D3'), source_notes_border_lr_style=OptionsInfo(scss=True, category='source_notes', type='value', value='none'), source_notes_border_lr_width=OptionsInfo(scss=True, category='source_notes', type='px', value='2px'), source_notes_border_lr_color=OptionsInfo(scss=True, category='source_notes', type='value', value='#D3D3D3'), source_notes_multiline=OptionsInfo(scss=False, category='source_notes', type='boolean', value=True), source_notes_sep=OptionsInfo(scss=False, category='source_notes', type='value', value=' '), container_width=OptionsInfo(scss=False, category='container', type='px', value='auto'), container_height=OptionsInfo(scss=False, category='container', type='px', value='auto'), container_padding_x=OptionsInfo(scss=False, category='container', type='px', value='0px'), container_padding_y=OptionsInfo(scss=False, category='container', type='px', value='10px'), container_overflow_x=OptionsInfo(scss=False, category='container', type='overflow', value='auto'), container_overflow_y=OptionsInfo(scss=False, category='container', type='overflow', value='auto'), quarto_disable_processing=OptionsInfo(scss=False, category='quarto', type='logical', value=False), quarto_use_bootstrap=OptionsInfo(scss=False, category='quarto', type='logical', value=False)), _has_built=False)" + "┌────────────────────┬─────────────────────────────────┬──────────┬───────┐\n", + "│ column ┆ percentages in row groups ┆ null% ┆ total │\n", + "│ --- ┆ --- ┆ --- ┆ --- │\n", + "│ str ┆ struct[1] ┆ f64 ┆ i32 │\n", + "╞════════════════════╪═════════════════════════════════╪══════════╪═══════╡\n", + "│ Employer_Category2 ┆ {[0.014347, 0.010043, … 0.0]} ┆ 0.061653 ┆ 69713 │\n", + "│ Monthly_Income ┆ {[0.0, 0.0, … 0.0]} ┆ 0.0 ┆ 69713 │\n", + "│ Existing_EMI ┆ {[0.0, 0.0, … 0.0]} ┆ 0.000732 ┆ 69713 │\n", + "│ Loan_Amount ┆ {[0.337159, 0.353659, … 0.3076… ┆ 0.397472 ┆ 69713 │\n", + "│ Loan_Period ┆ {[0.337159, 0.353659, … 0.3076… ┆ 0.397472 ┆ 69713 │\n", + "│ Interest_Rate ┆ {[0.631277, 0.631994, … 0.6153… ┆ 0.680461 ┆ 69713 │\n", + "│ EMI ┆ {[0.631277, 0.631994, … 0.6153… ┆ 0.680461 ┆ 69713 │\n", + "│ Var1 ┆ {[0.0, 0.0, … 0.0]} ┆ 0.0 ┆ 69713 │\n", + "│ Approved ┆ {[0.0, 0.0, … 0.0]} ┆ 0.0 ┆ 69713 │\n", + "└────────────────────┴─────────────────────────────────┴──────────┴───────┘, _body=, _boxhead=Boxhead([ColInfo(var='column', type=, column_label='column', column_align='left', column_width=None), ColInfo(var='percentages in row groups', type=, column_label='percentages in row groups', column_align='center', column_width=None), ColInfo(var='null%', type=, column_label='null%', column_align='right', column_width=None), ColInfo(var='total', type=, column_label='total', column_align='right', column_width=None)]), _stub=, _spanners=Spanners([]), _heading=Heading(title='Null 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"output_type": "execute_result" } @@ -1873,57 +1956,57 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/html": [ - "
\n", + "
\n", "\n", "
total
Employer_Category2
0.5200.0140.0105.7E−308.6E−300.0160.0140.0100.0163.6E−300.0149.3E−309.3E−307.2E−302.2E−300.0150.0160.0135.7E−309.3E−300.0116.5E−300.0110.0140.0100.0199.3E−307.9E−300.0100.0160.0170.0140.0130.410.340.180.270.230.0110.0200.0720.120.120.230.0240.520.0320.0470.0330.0350.0320
6.17%69713
Monthly_Income
5.00−5.00000000000000000000000000000000000000000000000000000
0.00%69713
Existing_EMI
0.01100000000000000000000000007.2E−4000007.2E−4000007.2E−401.4E−30007.2E−407.2E−401.4E−307.2E−401.4E−302.2E−302.2E−301.4E−302.9E−303.6E−305.0E−300.0110
0.07%69713
Loan_Amount
0.6800.340.350.360.370.350.370.360.350.360.360.370.370.370.370.360.390.400.400.390.370.360.400.340.290.310.280.280.340.390.350.390.380.650.590.500.540.520.350.410.470.480.490.500.380.680.370.360.370.370.380.31
39.75%69713
Loan_Period
0.6800.340.350.360.370.350.370.360.350.360.360.370.370.370.370.360.390.400.400.390.370.360.400.340.290.310.280.280.340.390.350.390.380.650.590.500.540.520.350.410.470.480.490.500.380.680.370.360.370.370.380.31
39.75%69713
Interest_Rate
0.8500.630.630.660.670.650.660.630.660.630.640.630.650.650.650.650.650.680.660.680.690.680.670.650.630.630.620.610.680.680.670.720.730.850.810.750.820.770.670.690.700.700.740.730.670.830.660.650.660.630.660.62
68.05%69713
EMI
0.8500.630.630.660.670.650.660.630.660.630.640.630.650.650.650.650.650.680.660.680.690.680.670.650.630.630.620.610.680.680.670.720.730.850.810.750.820.770.670.690.700.700.740.730.670.830.660.650.660.630.660.62
68.05%69713
Var1
5.00−5.00000000000000000000000000000000000000000000000000000
0.00%69713
Approved
5.00−5.00000000000000000000000000000000000000000000000000000
0.00%69713
Employer_Category2
0.5200.0140.0105.7E−308.6E−300.0160.0140.0100.0163.6E−300.0149.3E−309.3E−307.2E−302.2E−300.0150.0160.0135.7E−309.3E−300.0116.5E−300.0110.0140.0100.0199.3E−307.9E−300.0100.0160.0170.0140.0130.410.340.180.270.230.0110.0200.0720.120.120.230.0240.520.0320.0470.0330.0350.0320
6.17%69713
Monthly_Income
5-5000000000000000000000000000000000000000000000000000
0.00%69713
Existing_EMI
0.01100000000000000000000000007.2E−4000007.2E−4000007.2E−401.4E−30007.2E−407.2E−401.4E−307.2E−401.4E−302.2E−302.2E−301.4E−302.9E−303.6E−305.0E−300.0110
0.07%69713
Loan_Amount
0.6800.340.350.360.370.350.370.360.350.360.360.370.370.370.370.360.390.400.400.390.370.360.400.340.290.310.280.280.340.390.350.390.380.650.590.500.540.520.350.410.470.480.490.500.380.680.370.360.370.370.380.31
39.75%69713
Loan_Period
0.6800.340.350.360.370.350.370.360.350.360.360.370.370.370.370.360.390.400.400.390.370.360.400.340.290.310.280.280.340.390.350.390.380.650.590.500.540.520.350.410.470.480.490.500.380.680.370.360.370.370.380.31
39.75%69713
Interest_Rate
0.8500.630.630.660.670.650.660.630.660.630.640.630.650.650.650.650.650.680.660.680.690.680.670.650.630.630.620.610.680.680.670.720.730.850.810.750.820.770.670.690.700.700.740.730.670.830.660.650.660.630.660.62
68.05%69713
EMI
0.8500.630.630.660.670.650.660.630.660.630.640.630.650.650.650.650.650.680.660.680.690.680.670.650.630.630.620.610.680.680.670.720.730.850.810.750.820.770.670.690.700.700.740.730.670.830.660.650.660.630.660.62
68.05%69713
Var1
5-5000000000000000000000000000000000000000000000000000
0.00%69713
Approved
5-5000000000000000000000000000000000000000000000000000
0.00%69713
\n", @@ -1939,60 +2022,60 @@ " \n", "\n", "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", - "\n", - " \n", - " \n", - " \n", - " \n", - "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", "\n", "\n", "\n", @@ -2003,24 +2086,24 @@ ], "text/plain": [ "GT(_tbl_data=shape: (9, 4)\n", - "┌────────────────────┬───────────────────────────────────┬──────────┬───────┐\n", - "│ column ┆ percentages in row groups ┆ null% ┆ total │\n", - "│ --- ┆ --- ┆ --- ┆ --- │\n", - "│ str ┆ struct[1] ┆ f64 ┆ i32 │\n", - "╞════════════════════╪═══════════════════════════════════╪══════════╪═══════╡\n", - "│ Employer_Category2 ┆ {[0.010067, 0.006711, … 0.0]} ┆ 0.005199 ┆ 29812 │\n", - "│ Monthly_Income ┆ {[0.0, 0.0, … 0.0]} ┆ 0.0 ┆ 29812 │\n", - "│ Existing_EMI ┆ {[0.0, 0.0, … 0.0]} ┆ 0.000034 ┆ 29812 │\n", - "│ Loan_Amount ┆ {[0.38255, 0.411074, … 0.416667]… ┆ 0.397256 ┆ 29812 │\n", - "│ Loan_Period ┆ {[0.38255, 0.411074, … 0.416667]… ┆ 0.397256 ┆ 29812 │\n", - "│ Interest_Rate ┆ {[0.672819, 0.676174, … 0.75]} ┆ 0.690326 ┆ 29812 │\n", - "│ EMI ┆ {[0.672819, 0.676174, … 0.75]} ┆ 0.690326 ┆ 29812 │\n", - "│ Var1 ┆ {[0.0, 0.0, … 0.0]} ┆ 0.0 ┆ 29812 │\n", - "│ Approved ┆ {[0.0, 0.0, … 0.0]} ┆ 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type='value', value='inherit'), stub_row_group_border_style=OptionsInfo(scss=True, category='stub', type='value', value='solid'), stub_row_group_border_width=OptionsInfo(scss=True, category='stub', type='px', value='2px'), stub_row_group_border_color=OptionsInfo(scss=True, category='stub', type='value', value='#D3D3D3'), source_notes_padding=OptionsInfo(scss=True, category='source_notes', type='px', value='4px'), source_notes_padding_horizontal=OptionsInfo(scss=True, category='source_notes', type='px', value='5px'), source_notes_background_color=OptionsInfo(scss=True, category='source_notes', type='value', value=None), source_notes_font_size=OptionsInfo(scss=True, category='source_notes', type='px', value='90%'), source_notes_border_bottom_style=OptionsInfo(scss=True, category='source_notes', type='value', value='none'), source_notes_border_bottom_width=OptionsInfo(scss=True, category='source_notes', type='px', value='2px'), source_notes_border_bottom_color=OptionsInfo(scss=True, category='source_notes', type='value', value='#D3D3D3'), source_notes_border_lr_style=OptionsInfo(scss=True, category='source_notes', type='value', value='none'), source_notes_border_lr_width=OptionsInfo(scss=True, category='source_notes', type='px', value='2px'), source_notes_border_lr_color=OptionsInfo(scss=True, category='source_notes', type='value', value='#D3D3D3'), source_notes_multiline=OptionsInfo(scss=False, category='source_notes', type='boolean', value=True), source_notes_sep=OptionsInfo(scss=False, category='source_notes', type='value', value=' '), container_width=OptionsInfo(scss=False, category='container', type='px', value='auto'), container_height=OptionsInfo(scss=False, category='container', type='px', value='auto'), container_padding_x=OptionsInfo(scss=False, category='container', type='px', value='0px'), container_padding_y=OptionsInfo(scss=False, category='container', type='px', value='10px'), container_overflow_x=OptionsInfo(scss=False, category='container', type='overflow', value='auto'), container_overflow_y=OptionsInfo(scss=False, category='container', type='overflow', value='auto'), quarto_disable_processing=OptionsInfo(scss=False, category='quarto', type='logical', value=False), quarto_use_bootstrap=OptionsInfo(scss=False, category='quarto', type='logical', value=False)), _has_built=False)" + "┌────────────────────┬─────────────────────────────────┬──────────┬───────┐\n", + "│ column ┆ percentages in row groups ┆ null% ┆ total │\n", + "│ --- ┆ --- ┆ --- ┆ --- │\n", + "│ str ┆ struct[1] ┆ f64 ┆ i32 │\n", + "╞════════════════════╪═════════════════════════════════╪══════════╪═══════╡\n", + "│ Employer_Category2 ┆ {[0.010067, 0.006711, … 0.0]} ┆ 0.005199 ┆ 29812 │\n", + "│ Monthly_Income ┆ {[0.0, 0.0, … 0.0]} ┆ 0.0 ┆ 29812 │\n", + "│ Existing_EMI ┆ {[0.0, 0.0, … 0.0]} ┆ 0.000034 ┆ 29812 │\n", + "│ Loan_Amount ┆ {[0.38255, 0.411074, … 0.41666… ┆ 0.397256 ┆ 29812 │\n", + "│ Loan_Period ┆ {[0.38255, 0.411074, … 0.41666… ┆ 0.397256 ┆ 29812 │\n", + "│ Interest_Rate ┆ {[0.672819, 0.676174, … 0.75]} ┆ 0.690326 ┆ 29812 │\n", + "│ EMI ┆ {[0.672819, 0.676174, … 0.75]} ┆ 0.690326 ┆ 29812 │\n", + "│ Var1 ┆ {[0.0, 0.0, … 0.0]} ┆ 0.0 ┆ 29812 │\n", + "│ Approved ┆ {[0.0, 0.0, … 0.0]} ┆ 0.0 ┆ 29812 │\n", + "└────────────────────┴─────────────────────────────────┴──────────┴───────┘, _body=, _boxhead=Boxhead([ColInfo(var='column', type=, column_label='column', column_align='left', column_width=None), ColInfo(var='percentages in row groups', type=, column_label='percentages in row groups', column_align='center', column_width=None), ColInfo(var='null%', type=, column_label='null%', column_align='right', column_width=None), ColInfo(var='total', type=, column_label='total', column_align='right', column_width=None)]), _stub=, _spanners=Spanners([]), _heading=Heading(title='Null Distribution', subtitle=None, preheader=None), _stubhead='column', _source_notes=[], _footnotes=[], _styles=[], _locale=, _formats=[, , ], _substitutions=[], 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category='source_notes', type='value', value=' '), container_width=OptionsInfo(scss=False, category='container', type='px', value='auto'), container_height=OptionsInfo(scss=False, category='container', type='px', value='auto'), container_padding_x=OptionsInfo(scss=False, category='container', type='px', value='0px'), container_padding_y=OptionsInfo(scss=False, category='container', type='px', value='10px'), container_overflow_x=OptionsInfo(scss=False, category='container', type='overflow', value='auto'), container_overflow_y=OptionsInfo(scss=False, category='container', type='overflow', value='auto'), quarto_disable_processing=OptionsInfo(scss=False, category='quarto', type='logical', value=False), quarto_use_bootstrap=OptionsInfo(scss=False, category='quarto', type='logical', value=False)), _has_built=False)" ] }, - "execution_count": 22, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -2035,7 +2118,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -24834,7 +24917,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 26, "metadata": {}, "outputs": [ { @@ -47633,7 +47716,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -70366,7 +70449,7 @@ } }, "title": { - "text": "EMI Distribution by [(col(\"Loan_Amount\")) > (10000)]" + "text": "EMI Distribution by [(col(\"Loan_Amount\")) > (dyn int: 10000)]" }, "xaxis": { "anchor": "y", @@ -70418,7 +70501,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 28, "metadata": {}, "outputs": [ { @@ -70448,7 +70531,7 @@ "└───────────────────┴──────────────────┴───────────────────┴──────────────────┴─────────┘" ] }, - "execution_count": 26, + "execution_count": 28, "metadata": {}, "output_type": "execute_result" } @@ -70466,7 +70549,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 29, "metadata": {}, "outputs": [ { @@ -71694,7 +71777,7 @@ }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 30, "metadata": {}, "outputs": [ { @@ -73182,7 +73265,7 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -73190,14 +73273,14 @@ "output_type": "stream", "text": [ "shape: (2, 4)\n", - "┌──────────┬──────────┬──────────┬────────────┐\n", - "│ coeff ┆ std_err ┆ t ┆ p>|t| │\n", - "│ --- ┆ --- ┆ --- ┆ --- │\n", - "│ f64 ┆ f64 ┆ f64 ┆ f64 │\n", - "╞══════════╪══════════╪══════════╪════════════╡\n", - "│ 0.750081 ┆ 0.063026 ┆ 11.90112 ┆ 6.2978e-16 │\n", - "│ 0.610468 ┆ 0.417107 ┆ 1.463577 ┆ 0.149828 │\n", - "└──────────┴──────────┴──────────┴────────────┘\n" + "┌──────────┬──────────┬──────────┬──────────┐\n", + "│ coeff ┆ std_err ┆ t ┆ p>|t| │\n", + "│ --- ┆ --- ┆ --- ┆ --- │\n", + "│ f64 ┆ f64 ┆ f64 ┆ f64 │\n", + "╞══════════╪══════════╪══════════╪══════════╡\n", + "│ 0.131632 ┆ 0.068527 ┆ 1.920876 ┆ 0.060698 │\n", + "│ 0.803052 ┆ 0.343878 ┆ 2.335281 ┆ 0.023756 │\n", + "└──────────┴──────────┴──────────┴──────────┘\n" ] }, { @@ -73212,108 +73295,108 @@ "name": "data scatter", "type": "scatter", "x": [ - 6.3, - 5.8, - 7.1, - 6.3, - 6.5, - 7.6, - 4.9, - 7.3, - 6.7, - 7.2, - 6.5, - 6.4, - 6.8, - 5.7, - 5.8, - 6.4, - 6.5, - 7.7, - 7.7, - 6, - 6.9, - 5.6, - 7.7, - 6.3, - 6.7, - 7.2, - 6.2, - 6.1, - 6.4, - 7.2, - 7.4, - 7.9, - 6.4, - 6.3, - 6.1, - 7.7, - 6.3, - 6.4, - 6, - 6.9, - 6.7, - 6.9, - 5.8, - 6.8, - 6.7, - 6.7, - 6.3, - 6.5, - 6.2, - 5.9 - ], - "y": [ - 6, - 5.1, - 5.9, - 5.6, - 5.8, - 6.6, - 4.5, - 6.3, - 5.8, - 6.1, 5.1, - 5.3, - 5.5, + 4.9, + 4.7, + 4.6, 5, - 5.1, - 5.3, - 5.5, - 6.7, - 6.9, + 5.4, + 4.6, 5, - 5.7, - 4.9, - 6.7, + 4.4, 4.9, - 5.7, - 6, + 5.4, 4.8, - 4.9, - 5.6, + 4.8, + 4.3, 5.8, - 6.1, - 6.4, - 5.6, + 5.7, + 5.4, + 5.1, + 5.7, 5.1, - 5.6, - 6.1, - 5.6, - 5.5, - 4.8, 5.4, - 5.6, 5.1, + 4.6, 5.1, - 5.9, - 5.7, - 5.2, + 4.8, 5, + 5, + 5.2, 5.2, + 4.7, + 4.8, 5.4, - 5.1 + 5.2, + 5.5, + 4.9, + 5, + 5.5, + 4.9, + 4.4, + 5.1, + 5, + 4.5, + 4.4, + 5, + 5.1, + 4.8, + 5.1, + 4.6, + 5.3, + 5 + ], + "y": [ + 1.4, + 1.4, + 1.3, + 1.5, + 1.4, + 1.7, + 1.4, + 1.5, + 1.4, + 1.5, + 1.5, + 1.6, + 1.4, + 1.1, + 1.2, + 1.5, + 1.3, + 1.4, + 1.7, + 1.5, + 1.7, + 1.5, + 1, + 1.7, + 1.9, + 1.6, + 1.6, + 1.5, + 1.4, + 1.6, + 1.6, + 1.5, + 1.5, + 1.4, + 1.5, + 1.2, + 1.3, + 1.4, + 1.3, + 1.5, + 1.3, + 1.3, + 1.3, + 1.6, + 1.9, + 1.4, + 1.6, + 1.4, + 1.5, + 1.4 ] }, { @@ -73321,108 +73404,108 @@ "name": "Least Squares", "type": "scatter", "x": [ - 6.3, - 5.8, - 7.1, - 6.3, - 6.5, - 7.6, + 5.1, 4.9, - 7.3, - 6.7, - 7.2, - 6.5, - 6.4, - 6.8, - 5.7, - 5.8, - 6.4, - 6.5, - 7.7, - 7.7, - 6, - 6.9, - 5.6, - 7.7, - 6.3, - 6.7, - 7.2, - 6.2, - 6.1, - 6.4, - 7.2, - 7.4, - 7.9, - 6.4, - 6.3, - 6.1, - 7.7, - 6.3, - 6.4, - 6, - 6.9, - 6.7, - 6.9, + 4.7, + 4.6, + 5, + 5.4, + 4.6, + 5, + 4.4, + 4.9, + 5.4, + 4.8, + 4.8, + 4.3, 5.8, - 6.8, - 6.7, - 6.7, - 6.3, - 6.5, - 6.2, - 5.9 + 5.7, + 5.4, + 5.1, + 5.7, + 5.1, + 5.4, + 5.1, + 4.6, + 5.1, + 4.8, + 5, + 5, + 5.2, + 5.2, + 4.7, + 4.8, + 5.4, + 5.2, + 5.5, + 4.9, + 5, + 5.5, + 4.9, + 4.4, + 5.1, + 5, + 4.5, + 4.4, + 5, + 5.1, + 4.8, + 5.1, + 4.6, + 5.3, + 5 ], "y": [ - 5.335976742308019, - 4.960936364370531, - 5.936041347008, - 5.335976742308019, - 5.485992893483014, - 6.311081724945487, - 4.285863684083054, - 6.086057498182995, - 5.636009044658009, - 6.011049422595497, - 5.485992893483014, - 5.4109848178955176, - 5.711017120245507, - 4.885928288783035, - 4.960936364370531, - 5.4109848178955176, - 5.485992893483014, - 6.386089800532985, - 6.386089800532985, - 5.110952515545526, - 5.786025195833005, - 4.810920213195536, - 6.386089800532985, - 5.335976742308019, - 5.636009044658009, - 6.011049422595497, - 5.260968666720522, - 5.185960591133024, - 5.4109848178955176, - 6.011049422595497, - 6.161065573770492, - 6.53610595170798, - 5.4109848178955176, - 5.335976742308019, - 5.185960591133024, - 6.386089800532985, - 5.335976742308019, - 5.4109848178955176, - 5.110952515545526, - 5.786025195833005, - 5.636009044658009, - 5.786025195833005, - 4.960936364370531, - 5.711017120245507, - 5.636009044658009, - 5.636009044658009, - 5.335976742308019, - 5.485992893483014, - 5.260968666720522, - 5.03594443995803 + 1.4743733780099453, + 1.4480470418186244, + 1.4217207056273033, + 1.4085575375316428, + 1.461210209914285, + 1.513862882296927, + 1.4085575375316428, + 1.461210209914285, + 1.3822312013403217, + 1.4480470418186244, + 1.513862882296927, + 1.4348838737229639, + 1.4348838737229639, + 1.3690680332446612, + 1.5665155546795688, + 1.5533523865839083, + 1.513862882296927, + 1.4743733780099453, + 1.5533523865839083, + 1.4743733780099453, + 1.513862882296927, + 1.4743733780099453, + 1.4085575375316428, + 1.4743733780099453, + 1.4348838737229639, + 1.461210209914285, + 1.461210209914285, + 1.4875365461056058, + 1.4875365461056058, + 1.4217207056273033, + 1.4348838737229639, + 1.513862882296927, + 1.4875365461056058, + 1.5270260503925872, + 1.4480470418186244, + 1.461210209914285, + 1.5270260503925872, + 1.4480470418186244, + 1.3822312013403217, + 1.4743733780099453, + 1.461210209914285, + 1.3953943694359823, + 1.3822312013403217, + 1.461210209914285, + 1.4743733780099453, + 1.4348838737229639, + 1.4743733780099453, + 1.4085575375316428, + 1.5006997142012664, + 1.461210209914285 ] } ], @@ -74244,7 +74327,7 @@ } }, "title": { - "text": "y=petal length (cm), x=sepal length (cm), y_pred = (sepal length (cm)) * 0.75008 + 0.61047
\nCondition: [(col(\"species\")) == (String(virginica))]" + "text": "y=petal length (cm), x=sepal length (cm), y_pred = (sepal length (cm)) * 0.13163 + 0.80305
\nCondition: [(col(\"species\")) == (String(setosa))]" }, "xaxis": { "title": { @@ -74272,8 +74355,8 @@ "│ --- ┆ --- ┆ --- ┆ --- │\n", "│ f64 ┆ f64 ┆ f64 ┆ f64 │\n", "╞══════════╪══════════╪══════════╪════════════╡\n", - "│ 0.68647 ┆ 0.086307 ┆ 7.953806 ┆ 2.5862e-10 │\n", - "│ 0.185116 ┆ 0.514214 ┆ 0.359997 ┆ 0.720428 │\n", + "│ 0.750081 ┆ 0.063026 ┆ 11.90112 ┆ 6.2978e-16 │\n", + "│ 0.610468 ┆ 0.417107 ┆ 1.463577 ┆ 0.149828 │\n", "└──────────┴──────────┴──────────┴────────────┘\n" ] }, @@ -74289,108 +74372,108 @@ "name": "data scatter", "type": "scatter", "x": [ - 7, - 6.4, - 6.9, - 5.5, - 6.5, - 5.7, 6.3, + 5.8, + 7.1, + 6.3, + 6.5, + 7.6, 4.9, - 6.6, - 5.2, - 5, - 5.9, + 7.3, + 6.7, + 7.2, + 6.5, + 6.4, + 6.8, + 5.7, + 5.8, + 6.4, + 6.5, + 7.7, + 7.7, 6, - 6.1, + 6.9, 5.6, + 7.7, + 6.3, 6.7, - 5.6, - 5.8, + 7.2, 6.2, - 5.6, - 5.9, 6.1, + 6.4, + 7.2, + 7.4, + 7.9, + 6.4, 6.3, 6.1, + 7.7, + 6.3, 6.4, - 6.6, - 6.8, - 6.7, 6, - 5.7, - 5.5, - 5.5, + 6.9, + 6.7, + 6.9, 5.8, - 6, - 5.4, - 6, + 6.8, + 6.7, 6.7, 6.3, + 6.5, + 6.2, + 5.9 + ], + "y": [ + 6, + 5.1, + 5.9, 5.6, + 5.8, + 6.6, + 4.5, + 6.3, + 5.8, + 6.1, + 5.1, + 5.3, 5.5, + 5, + 5.1, + 5.3, 5.5, - 6.1, - 5.8, + 6.7, + 6.9, 5, - 5.6, - 5.7, 5.7, - 6.2, - 5.1, - 5.7 - ], - "y": [ - 4.7, - 4.5, 4.9, - 4, - 4.6, - 4.5, - 4.7, - 3.3, - 4.6, - 3.9, - 3.5, - 4.2, - 4, - 4.7, - 3.6, - 4.4, - 4.5, - 4.1, - 4.5, - 3.9, + 6.7, + 4.9, + 5.7, + 6, 4.8, - 4, 4.9, - 4.7, - 4.3, - 4.4, + 5.6, + 5.8, + 6.1, + 6.4, + 5.6, + 5.1, + 5.6, + 6.1, + 5.6, + 5.5, 4.8, - 5, - 4.5, - 3.5, - 3.8, - 3.7, - 3.9, + 5.4, + 5.6, 5.1, - 4.5, - 4.5, - 4.7, - 4.4, - 4.1, - 4, - 4.4, - 4.6, - 4, - 3.3, - 4.2, - 4.2, - 4.2, - 4.3, - 3, - 4.1 + 5.1, + 5.9, + 5.7, + 5.2, + 5, + 5.2, + 5.4, + 5.1 ] }, { @@ -74398,108 +74481,108 @@ "name": "Least Squares", "type": "scatter", "x": [ - 7, - 6.4, - 6.9, - 5.5, - 6.5, - 5.7, 6.3, + 5.8, + 7.1, + 6.3, + 6.5, + 7.6, 4.9, - 6.6, - 5.2, - 5, - 5.9, + 7.3, + 6.7, + 7.2, + 6.5, + 6.4, + 6.8, + 5.7, + 5.8, + 6.4, + 6.5, + 7.7, + 7.7, 6, - 6.1, + 6.9, 5.6, + 7.7, + 6.3, 6.7, - 5.6, - 5.8, + 7.2, 6.2, - 5.6, - 5.9, 6.1, + 6.4, + 7.2, + 7.4, + 7.9, + 6.4, 6.3, 6.1, + 7.7, + 6.3, 6.4, - 6.6, - 6.8, - 6.7, 6, - 5.7, - 5.5, - 5.5, + 6.9, + 6.7, + 6.9, 5.8, - 6, - 5.4, - 6, + 6.8, + 6.7, 6.7, 6.3, - 5.6, - 5.5, - 5.5, - 6.1, - 5.8, - 5, - 5.6, - 5.7, - 5.7, + 6.5, 6.2, - 5.1, - 5.7 + 5.9 ], "y": [ - 4.990403823763597, - 4.57852196825778, - 4.921756847845961, - 3.960699184999055, - 4.647168944175417, - 4.097993136834328, - 4.509874992340144, - 3.5488173294932386, - 4.7158159200930525, - 3.754758257246147, - 3.6174643054108744, - 4.2352870886696, - 4.303934064587236, - 4.372581040504872, - 4.029346160916691, - 4.784462896010688, - 4.029346160916691, - 4.166640112751963, - 4.441228016422508, - 4.029346160916691, - 4.2352870886696, - 4.372581040504872, - 4.509874992340144, - 4.372581040504872, - 4.57852196825778, - 4.7158159200930525, - 4.853109871928325, - 4.784462896010688, - 4.303934064587236, - 4.097993136834328, - 3.960699184999055, - 3.960699184999055, - 4.166640112751963, - 4.303934064587236, - 3.8920522090814194, - 4.303934064587236, - 4.784462896010688, - 4.509874992340144, - 4.029346160916691, - 3.960699184999055, - 3.960699184999055, - 4.372581040504872, - 4.166640112751963, - 3.6174643054108744, - 4.029346160916691, - 4.097993136834328, - 4.097993136834328, - 4.441228016422508, - 3.68611128132851, - 4.097993136834328 + 5.335976742308019, + 4.960936364370531, + 5.936041347008, + 5.335976742308019, + 5.485992893483014, + 6.311081724945487, + 4.285863684083054, + 6.086057498182995, + 5.636009044658009, + 6.011049422595497, + 5.485992893483014, + 5.4109848178955176, + 5.711017120245507, + 4.885928288783035, + 4.960936364370531, + 5.4109848178955176, + 5.485992893483014, + 6.386089800532985, + 6.386089800532985, + 5.110952515545526, + 5.786025195833005, + 4.810920213195536, + 6.386089800532985, + 5.335976742308019, + 5.636009044658009, + 6.011049422595497, + 5.260968666720522, + 5.185960591133024, + 5.4109848178955176, + 6.011049422595497, + 6.161065573770492, + 6.53610595170798, + 5.4109848178955176, + 5.335976742308019, + 5.185960591133024, + 6.386089800532985, + 5.335976742308019, + 5.4109848178955176, + 5.110952515545526, + 5.786025195833005, + 5.636009044658009, + 5.786025195833005, + 4.960936364370531, + 5.711017120245507, + 5.636009044658009, + 5.636009044658009, + 5.335976742308019, + 5.485992893483014, + 5.260968666720522, + 5.03594443995803 ] } ], @@ -75321,7 +75404,7 @@ } }, "title": { - "text": "y=petal length (cm), x=sepal length (cm), y_pred = (sepal length (cm)) * 0.68647 + 0.18512
\nCondition: [(col(\"species\")) == (String(versicolor))]" + "text": "y=petal length (cm), x=sepal length (cm), y_pred = (sepal length (cm)) * 0.75008 + 0.61047
\nCondition: [(col(\"species\")) == (String(virginica))]" }, "xaxis": { "title": { @@ -75344,14 +75427,14 @@ "output_type": "stream", "text": [ "shape: (2, 4)\n", - "┌──────────┬──────────┬──────────┬──────────┐\n", - "│ coeff ┆ std_err ┆ t ┆ p>|t| │\n", - "│ --- ┆ --- ┆ --- ┆ --- │\n", - "│ f64 ┆ f64 ┆ f64 ┆ f64 │\n", - "╞══════════╪══════════╪══════════╪══════════╡\n", - "│ 0.131632 ┆ 0.068527 ┆ 1.920876 ┆ 0.060698 │\n", - "│ 0.803052 ┆ 0.343878 ┆ 2.335281 ┆ 0.023756 │\n", - "└──────────┴──────────┴──────────┴──────────┘\n" + "┌──────────┬──────────┬──────────┬────────────┐\n", + "│ coeff ┆ std_err ┆ t ┆ p>|t| │\n", + "│ --- ┆ --- ┆ --- ┆ --- │\n", + "│ f64 ┆ f64 ┆ f64 ┆ f64 │\n", + "╞══════════╪══════════╪══════════╪════════════╡\n", + "│ 0.68647 ┆ 0.086307 ┆ 7.953806 ┆ 2.5862e-10 │\n", + "│ 0.185116 ┆ 0.514214 ┆ 0.359997 ┆ 0.720428 │\n", + "└──────────┴──────────┴──────────┴────────────┘\n" ] }, { @@ -75366,108 +75449,108 @@ "name": "data scatter", "type": "scatter", "x": [ - 5.1, + 7, + 6.4, + 6.9, + 5.5, + 6.5, + 5.7, + 6.3, 4.9, - 4.7, - 4.6, - 5, - 5.4, - 4.6, + 6.6, + 5.2, 5, - 4.4, - 4.9, - 5.4, - 4.8, - 4.8, - 4.3, + 5.9, + 6, + 6.1, + 5.6, + 6.7, + 5.6, 5.8, + 6.2, + 5.6, + 5.9, + 6.1, + 6.3, + 6.1, + 6.4, + 6.6, + 6.8, + 6.7, + 6, 5.7, + 5.5, + 5.5, + 5.8, + 6, 5.4, - 5.1, + 6, + 6.7, + 6.3, + 5.6, + 5.5, + 5.5, + 6.1, + 5.8, + 5, + 5.6, 5.7, + 5.7, + 6.2, 5.1, - 5.4, - 5.1, + 5.7 + ], + "y": [ + 4.7, + 4.5, + 4.9, + 4, 4.6, - 5.1, - 4.8, - 5, - 5, - 5.2, - 5.2, + 4.5, + 4.7, + 3.3, + 4.6, + 3.9, + 3.5, + 4.2, + 4, 4.7, + 3.6, + 4.4, + 4.5, + 4.1, + 4.5, + 3.9, 4.8, - 5.4, - 5.2, - 5.5, - 4.9, - 5, - 5.5, + 4, 4.9, + 4.7, + 4.3, 4.4, - 5.1, + 4.8, 5, 4.5, - 4.4, - 5, - 5.1, - 4.8, + 3.5, + 3.8, + 3.7, + 3.9, 5.1, + 4.5, + 4.5, + 4.7, + 4.4, + 4.1, + 4, + 4.4, 4.6, - 5.3, - 5 - ], - "y": [ - 1.4, - 1.4, - 1.3, - 1.5, - 1.4, - 1.7, - 1.4, - 1.5, - 1.4, - 1.5, - 1.5, - 1.6, - 1.4, - 1.1, - 1.2, - 1.5, - 1.3, - 1.4, - 1.7, - 1.5, - 1.7, - 1.5, - 1, - 1.7, - 1.9, - 1.6, - 1.6, - 1.5, - 1.4, - 1.6, - 1.6, - 1.5, - 1.5, - 1.4, - 1.5, - 1.2, - 1.3, - 1.4, - 1.3, - 1.5, - 1.3, - 1.3, - 1.3, - 1.6, - 1.9, - 1.4, - 1.6, - 1.4, - 1.5, - 1.4 + 4, + 3.3, + 4.2, + 4.2, + 4.2, + 4.3, + 3, + 4.1 ] }, { @@ -75475,108 +75558,108 @@ "name": "Least Squares", "type": "scatter", "x": [ - 5.1, + 7, + 6.4, + 6.9, + 5.5, + 6.5, + 5.7, + 6.3, 4.9, - 4.7, - 4.6, - 5, - 5.4, - 4.6, + 6.6, + 5.2, 5, - 4.4, - 4.9, - 5.4, - 4.8, - 4.8, - 4.3, + 5.9, + 6, + 6.1, + 5.6, + 6.7, + 5.6, 5.8, + 6.2, + 5.6, + 5.9, + 6.1, + 6.3, + 6.1, + 6.4, + 6.6, + 6.8, + 6.7, + 6, 5.7, + 5.5, + 5.5, + 5.8, + 6, 5.4, - 5.1, - 5.7, - 5.1, - 5.4, - 5.1, - 4.6, - 5.1, - 4.8, - 5, - 5, - 5.2, - 5.2, - 4.7, - 4.8, - 5.4, - 5.2, + 6, + 6.7, + 6.3, + 5.6, 5.5, - 4.9, - 5, 5.5, - 4.9, - 4.4, - 5.1, - 5, - 4.5, - 4.4, + 6.1, + 5.8, 5, + 5.6, + 5.7, + 5.7, + 6.2, 5.1, - 4.8, - 5.1, - 4.6, - 5.3, - 5 + 5.7 ], "y": [ - 1.4743733780099453, - 1.4480470418186244, - 1.4217207056273033, - 1.4085575375316428, - 1.461210209914285, - 1.513862882296927, - 1.4085575375316428, - 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"text": "y=petal length (cm), x=sepal length (cm), y_pred = (sepal length (cm)) * 0.13163 + 0.80305
\nCondition: [(col(\"species\")) == (String(setosa))]" + "text": "y=petal length (cm), x=sepal length (cm), y_pred = (sepal length (cm)) * 0.68647 + 0.18512
\nCondition: [(col(\"species\")) == (String(versicolor))]" }, "xaxis": { "title": { diff --git a/mkdocs.yml b/mkdocs.yml index c7c74227..e751aa33 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -5,12 +5,13 @@ use_directory_urls: false nav: - Home: index.md -- Complex Extension: complex.md +- Diagnosis: dia.md - Numerical Extension: num.md - Stats Extension: stats.md - String Extension: str2.md - ML Metrics/Loss Extension: metrics.md - Graph Extension: graph.md +- Complex Extension: complex.md - Additional Expressions: polars_ds.md theme: diff --git a/pyproject.toml b/pyproject.toml index 765d5980..151b5229 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -19,7 +19,7 @@ authors = [ {name = "Tianren Qin", email = "tq9695@gmail.com"}, ] dependencies = [ - "polars >= 0.20.6, !=0.20.12, <1.0", + "polars >= 0.20.6, !=0.20.12", 'typing-extensions; python_version <= "3.11"', ] @@ -27,7 +27,7 @@ keywords = ["polars-extension", "scientific-computing", "data-science"] [project.optional-dependencies] plot = [ - "great-tables>=0.5", + "great-tables>=0.9", "graphviz>=0.20", "plotly>=5.0,<6" ] diff --git a/python/polars_ds/diagnosis.py b/python/polars_ds/diagnosis.py index 9e8eae18..aca95461 100644 --- a/python/polars_ds/diagnosis.py +++ b/python/polars_ds/diagnosis.py @@ -67,7 +67,29 @@ def __init__(self, df: Union[pl.DataFrame, pl.LazyFrame]): ) self.other_types: List[str] = [c for c in self._frame.columns if c not in self.simple_types] - def numeric_profile(self, n_bins: int = 20, iqr_multiplier: float = 1.5) -> GT: + def special_values_report(self) -> pl.DataFrame: + """ + Checks null, NaN, and non-finite values for float columns. Note that for integers, only null_count + can possibly be non-zero. + """ + to_check = self.numerics + frames = [ + self._frame.select( + pl.lit(c, dtype=pl.String).alias("column"), + pl.col(c).null_count().alias("null_count"), + (pl.col(c).null_count() / pl.len()).alias("null%"), + pl.col(c).is_nan().sum().alias("NaN_count"), + (pl.col(c).is_nan().sum() / pl.len()).alias("NaN%"), + pl.col(c).is_infinite().sum().alias("inf_count"), + (pl.col(c).is_infinite().sum() / pl.len()).alias("Inf%"), + ) + for c in to_check + ] + return pl.concat(pl.collect_all(frames)) + + def numeric_profile( + self, n_bins: int = 20, iqr_multiplier: float = 1.5, histogram: bool = True, gt: bool = True + ) -> GT: """ Creates a numerical profile with a histogram plot. Notice that the histograms may have completely different scales on the x-axis. @@ -80,59 +102,104 @@ def numeric_profile(self, n_bins: int = 20, iqr_multiplier: float = 1.5) -> GT: Inter Quartile Ranger multiplier. Inter quantile range is the range between Q1 and Q3, and this multiplier will enlarge the range by a certain amount and use this to count outliers. + histogram + Whether to show a histogram or not + gt + Whether to show the table as a formatted Great Table or not """ to_check = self.numerics cuts = [i / n_bins for i in range(n_bins)] cuts[0] -= 1e-5 cuts[-1] += 1e-5 - frames = [] - for c in to_check: - temp = self._frame.select( - pl.lit(c).alias("column"), - pl.col(c).count().alias("non_null_cnt"), - (pl.col(c).null_count() / pl.len()).alias("null%"), - pl.col(c).mean().alias("mean"), - pl.col(c).std().alias("std"), - pl.col(c).min().cast(pl.Float64).alias("min"), - pl.col(c).quantile(0.25).cast(pl.Float64).alias("q1"), - pl.col(c).median().cast(pl.Float64).round(2).alias("median"), - pl.col(c).quantile(0.75).cast(pl.Float64).alias("q3"), - pl.col(c).max().cast(pl.Float64).alias("max"), - (pl.col(c).quantile(0.75) - pl.col(c).quantile(0.25)).cast(pl.Float64).alias("IQR"), - pl.any_horizontal( - pl.col(c) - < pl.col(c).quantile(0.25) - - iqr_multiplier * (pl.col(c).quantile(0.75) - pl.col(c).quantile(0.25)), - pl.col(c) - > pl.col(c).quantile(0.75) - + iqr_multiplier * (pl.col(c).quantile(0.75) - pl.col(c).quantile(0.25)), - ) - .sum() - .alias("outlier_cnt"), - pl.struct( - ((pl.col(c) - pl.col(c).min()) / (pl.col(c).max() - pl.col(c).min())) - .filter(pl.col(c).is_finite()) - .cut(breaks=cuts, left_closed=True, include_breaks=True) - .struct.field("brk") - .value_counts() - .sort() - .struct.field("count") - .implode() - ).alias("histogram"), - ) - frames.append(temp) + if histogram: + columns_needed = [ + [ + pl.lit(c, dtype=pl.String).alias("column"), + pl.col(c).count().alias("non_null_cnt"), + (pl.col(c).null_count() / pl.len()).alias("null%"), + pl.col(c).mean().cast(pl.Float64).alias("mean"), + pl.col(c).std().cast(pl.Float64).alias("std"), + pl.col(c).min().cast(pl.Float64).cast(pl.Float64).alias("min"), + pl.col(c).quantile(0.25).cast(pl.Float64).alias("q1"), + pl.col(c).median().cast(pl.Float64).round(2).alias("median"), + pl.col(c).quantile(0.75).cast(pl.Float64).alias("q3"), + pl.col(c).max().cast(pl.Float64).alias("max"), + (pl.col(c).quantile(0.75) - pl.col(c).quantile(0.25)) + .cast(pl.Float64) + .alias("IQR"), + pl.any_horizontal( + pl.col(c) + < pl.col(c).quantile(0.25) + - iqr_multiplier * (pl.col(c).quantile(0.75) - pl.col(c).quantile(0.25)), + pl.col(c) + > pl.col(c).quantile(0.75) + + iqr_multiplier * (pl.col(c).quantile(0.75) - pl.col(c).quantile(0.25)), + ) + .sum() + .alias("outlier_cnt"), + pl.struct( + ((pl.col(c) - pl.col(c).min()) / (pl.col(c).max() - pl.col(c).min())) + .filter(pl.col(c).is_finite()) + .cut(breaks=cuts, left_closed=True, include_breaks=True) + .struct.rename_fields(["brk", "category"]) + .struct.field("brk") + .value_counts() + .sort() + .struct.field("count") + .implode() + ).alias("histogram"), + ] + for c in to_check + ] + else: + columns_needed = [ + [ + pl.lit(c, dtype=pl.String).alias("column"), + pl.col(c).count().alias("non_null_cnt"), + (pl.col(c).null_count() / pl.len()).alias("null%"), + pl.col(c).mean().cast(pl.Float64).alias("mean"), + pl.col(c).std().cast(pl.Float64).alias("std"), + pl.col(c).min().cast(pl.Float64).cast(pl.Float64).alias("min"), + pl.col(c).quantile(0.25).cast(pl.Float64).alias("q1"), + pl.col(c).median().cast(pl.Float64).round(2).alias("median"), + pl.col(c).quantile(0.75).cast(pl.Float64).alias("q3"), + pl.col(c).max().cast(pl.Float64).alias("max"), + (pl.col(c).quantile(0.75) - pl.col(c).quantile(0.25)) + .cast(pl.Float64) + .alias("IQR"), + pl.any_horizontal( + pl.col(c) + < pl.col(c).quantile(0.25) + - iqr_multiplier * (pl.col(c).quantile(0.75) - pl.col(c).quantile(0.25)), + pl.col(c) + > pl.col(c).quantile(0.75) + + iqr_multiplier * (pl.col(c).quantile(0.75) - pl.col(c).quantile(0.25)), + ) + .sum() + .alias("outlier_cnt"), + ] + for c in to_check + ] + + frames = [self._frame.select(*cols) for cols in columns_needed] df_final = pl.concat(pl.collect_all(frames)) - return ( - GT(df_final, rowname_col="column") - .tab_stubhead("column") - .fmt_percent(columns="null%") - .fmt_number( - columns=["mean", "std", "min", "q1", "median", "q3", "max", "IQR"], decimals=3 + + if gt: + gt_out = ( + GT(df_final, rowname_col="column") + .tab_stubhead("column") + .fmt_percent(columns="null%") + .fmt_number( + columns=["mean", "std", "min", "q1", "median", "q3", "max", "IQR"], decimals=3 + ) ) - .fmt_nanoplot(columns="histogram", plot_type="bar") - ) + if histogram: + return gt_out.fmt_nanoplot(columns="histogram", plot_type="bar") + return gt_out + else: + return df_final def plot_null_distribution( self, diff --git a/python/polars_ds/num.py b/python/polars_ds/num.py index 820148e4..1a3a59ee 100644 --- a/python/polars_ds/num.py +++ b/python/polars_ds/num.py @@ -828,7 +828,7 @@ def query_permute_entropy( .head(t.len() - n_dims + 1) .list.eval(pl.element().arg_sort()) .value_counts() # groupby and count, but returns a struct - .struct.field("count") # extract the field named "counts" + .struct.field("count") # extract the field named "count" .entropy(base=base, normalize=True) ) else: @@ -1059,6 +1059,9 @@ def query_psi( vc = ( valid_ref.qcut(n_bins, left_closed=False, allow_duplicates=True, include_breaks=True) + .struct.rename_fields( + ["brk", "category"] + ) # Use "breakpoints" in the future. Skip this rename. After polars v1 .struct.field("brk") .value_counts() .sort() diff --git a/tests/test.ipynb b/tests/test.ipynb index 6931b13b..55a02c2b 100644 --- a/tests/test.ipynb +++ b/tests/test.ipynb @@ -26,6 +26,17 @@ "df" ] }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "df.select(\n", + " pl.col(\"x1\").cut(breaks=[0.2, 0.4], left_closed=True, include_breaks=True)\n", + ").unnest(\"x1\")" + ] + }, { "cell_type": "code", "execution_count": null,
total
Employer_Category2
0.01000.0106.7E−308.4E−308.4E−301.7E−3008.4E−300.0100.0106.7E−308.4E−308.4E−305.0E−306.7E−303.4E−306.7E−308.4E−301.7E−303.4E−301.7E−3001.7E−301.7E−303.4E−300.0101.7E−305.0E−305.0E−301.7E−305.0E−308.4E−301.7E−303.4E−301.7E−301.7E−300.0105.0E−301.7E−305.0E−308.4E−305.0E−308.4E−308.4E−3005.0E−305.0E−308.4E−301.7E−303.4E−308.4E−300
0.52%29812
Monthly_Income
5.00−5.00000000000000000000000000000000000000000000000000000
0.00%29812
Existing_EMI
1.7E−3000000000000000000000000000000000000000001.7E−3000000000000
0.00%29812
Loan_Amount
0.4500.380.410.380.420.390.410.400.410.370.400.410.390.410.410.380.420.400.400.400.420.420.410.390.400.450.390.430.450.400.440.400.410.400.400.440.400.370.310.330.370.330.320.350.330.390.430.440.370.430.430.42
39.73%29812
Loan_Period
0.4500.380.410.380.420.390.410.400.410.370.400.410.390.410.410.380.420.400.400.400.420.420.410.390.400.450.390.430.450.400.440.400.410.400.400.440.400.370.310.330.370.330.320.350.330.390.430.440.370.430.430.42
39.73%29812
Interest_Rate
0.7800.670.680.670.700.670.720.710.690.680.670.680.690.670.690.650.690.660.700.670.690.680.700.700.660.700.690.690.700.690.740.690.780.670.730.680.710.700.660.650.700.640.690.650.690.720.690.730.680.730.730.75
69.03%29812
EMI
0.7800.670.680.670.700.670.720.710.690.680.670.680.690.670.690.650.690.660.700.670.690.680.700.700.660.700.690.690.700.690.740.690.780.670.730.680.710.700.660.650.700.640.690.650.690.720.690.730.680.730.730.75
69.03%29812
Var1
5.00−5.00000000000000000000000000000000000000000000000000000
0.00%29812
Approved
5.00−5.00000000000000000000000000000000000000000000000000000
0.00%29812
Employer_Category2
0.01000.0106.7E−308.4E−308.4E−301.7E−3008.4E−300.0100.0106.7E−308.4E−308.4E−305.0E−306.7E−303.4E−306.7E−308.4E−301.7E−303.4E−301.7E−3001.7E−301.7E−303.4E−300.0101.7E−305.0E−305.0E−301.7E−305.0E−308.4E−301.7E−303.4E−301.7E−301.7E−300.0105.0E−301.7E−305.0E−308.4E−305.0E−308.4E−308.4E−3005.0E−305.0E−308.4E−301.7E−303.4E−308.4E−300
0.52%29812
Monthly_Income
5-5000000000000000000000000000000000000000000000000000
0.00%29812
Existing_EMI
1.7E−3000000000000000000000000000000000000000001.7E−3000000000000
0.00%29812
Loan_Amount
0.4500.380.410.380.420.390.410.400.410.370.400.410.390.410.410.380.420.400.400.400.420.420.410.390.400.450.390.430.450.400.440.400.410.400.400.440.400.370.310.330.370.330.320.350.330.390.430.440.370.430.430.42
39.73%29812
Loan_Period
0.4500.380.410.380.420.390.410.400.410.370.400.410.390.410.410.380.420.400.400.400.420.420.410.390.400.450.390.430.450.400.440.400.410.400.400.440.400.370.310.330.370.330.320.350.330.390.430.440.370.430.430.42
39.73%29812
Interest_Rate
0.7800.670.680.670.700.670.720.710.690.680.670.680.690.670.690.650.690.660.700.670.690.680.700.700.660.700.690.690.700.690.740.690.780.670.730.680.710.700.660.650.700.640.690.650.690.720.690.730.680.730.730.75
69.03%29812
EMI
0.7800.670.680.670.700.670.720.710.690.680.670.680.690.670.690.650.690.660.700.670.690.680.700.700.660.700.690.690.700.690.740.690.780.670.730.680.710.700.660.650.700.640.690.650.690.720.690.730.680.730.730.75
69.03%29812
Var1
5-5000000000000000000000000000000000000000000000000000
0.00%29812
Approved
5-5000000000000000000000000000000000000000000000000000
0.00%29812