future warnings to resolve

[npr99]

Here's a summary of the issues along with their contexts:

Deprecated Downcasting on .fillna, .ffill, .bfill:

Files/Lines:
acg_01a_BaseInventory.py: lines 741, 803, 856
acg_02a_add_categorical_char.py: lines 470 (multiple)
Details: Using .fillna, .ffill, .bfill for downcasting object dtype arrays is deprecated. Suggested to use result.infer_objects(copy=False) or set the option pd.set_option('future.no_silent_downcasting', True).
Callable in GroupBy Sum:

Files/Lines:
acg_01a_BaseInventory.py: lines 1014 (multiple)
Details: The callable currently uses DataFrameGroupBy.sum. Future versions will use the callable directly. To retain current behavior, pass the string "sum" instead.
Setting Incompatible Dtype:

Files/Lines:
acg_02a_add_categorical_char.py: line 760 (multiple)
ncoda_00e_geoutilities.py: line 294 (multiple)
Details: Setting an item with an incompatible dtype is deprecated. For example, setting 0.5 in an int64 column or setting 2637860 and 'Hesperia' in a float64 column. Explicit casting to compatible dtypes is required.
Invalid Value Encountered in Computation:

Files/Lines:
expressions.py: line 73
Details: Runtime warnings due to invalid values encountered during less_equal and greater operations.
Deprecated DataFrame.applymap:

Files/Lines:
ncoda_07a_generate_hui.py: line 170
Details: DataFrame.applymap has been deprecated. Use DataFrame.map instead.
In summary, these issues are primarily related to deprecated pandas methods and operations, which need updating to avoid future compatibility problems.

[npr99]

Thank you chat gpt!
please summarise all of these issues: /workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_01a_BaseInventory.py:741: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set pd.set_option('future.no_silent_downcasting', True)
expanded_hui_split['Not Set'][newchar_var[0]].fillna(value = 0)
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_01a_BaseInventory.py:1014: FutureWarning: The provided callable <function sum at 0x722035f30ee0> is currently using DataFrameGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "sum" instead.
total_sum_df = pd.pivot_table(df, values=values_to_sum, index=by_vars,
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_01a_BaseInventory.py:803: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set pd.set_option('future.no_silent_downcasting', True)
updated_probability = expanded_hui_split['Not Set']['prob_'+newchar_var[0]].fillna(value = 1)
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_01a_BaseInventory.py:856: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set pd.set_option('future.no_silent_downcasting', True)
expanded_hui_split['Not Set'][updated_countvar].fillna(value = 0)
/home/codespace/.local/lib/python3.10/site-packages/pandas/core/computation/expressions.py:73: RuntimeWarning: invalid value encountered in less_equal
return op(a, b)
/home/codespace/.local/lib/python3.10/site-packages/pandas/core/computation/expressions.py:73: RuntimeWarning: invalid value encountered in greater
return op(a, b)
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_01a_BaseInventory.py:1014: FutureWarning: The provided callable <function sum at 0x722035f30ee0> is currently using DataFrameGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "sum" instead.
total_sum_df = pd.pivot_table(df, values=values_to_sum, index=by_vars,
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_01a_BaseInventory.py:1014: FutureWarning: The provided callable <function sum at 0x722035f30ee0> is currently using DataFrameGroupBy.sum. In a future version of pandas, the provided callable will be used directly. To keep current behavior pass the string "sum" instead.
total_sum_df = pd.pivot_table(df, values=values_to_sum, index=by_vars,
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_02a_add_categorical_char.py:470: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set pd.set_option('future.no_silent_downcasting', True)
merged_groups[self.new_char] = merged_groups[self.new_char].
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_02a_add_categorical_char.py:760: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '0.5' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.
set_flag_df.loc[conditions, self.flaggeo_var] = .5
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_02a_add_categorical_char.py:470: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set pd.set_option('future.no_silent_downcasting', True)
merged_groups[self.new_char] = merged_groups[self.new_char].
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_02a_add_categorical_char.py:470: FutureWarning: Downcasting object dtype arrays on .fillna, .ffill, .bfill is deprecated and will change in a future version. Call result.infer_objects(copy=False) instead. To opt-in to the future behavior, set pd.set_option('future.no_silent_downcasting', True)
merged_groups[self.new_char] = merged_groups[self.new_char].
/workspaces/intersect-community-data/pyncoda/CommunitySourceData/api_census_gov/acg_02a_add_categorical_char.py:760: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '0.5' has dtype incompatible with int64, please explicitly cast to a compatible dtype first.
set_flag_df.loc[conditions, self.flaggeo_var] = .5
/workspaces/intersect-community-data/pyncoda/ncoda_07a_generate_hui.py:170: FutureWarning: DataFrame.applymap has been deprecated. Use DataFrame.map instead.
hui_incore_df_fixed = hui_incore_df.applymap(lambda cell: int(cell) if str(cell).endswith('.0') else cell)
/workspaces/intersect-community-data/pyncoda/ncoda_00e_geoutilities.py:294: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value '2637860' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.
copy_point_gdf.loc[precise_matches.index,geolevel+col] = polygon[col]
/workspaces/intersect-community-data/pyncoda/ncoda_00e_geoutilities.py:294: FutureWarning: Setting an item of incompatible dtype is deprecated and will raise an error in a future version of pandas. Value 'Hesperia' has dtype incompatible with float64, please explicitly cast to a compatible dtype first.
copy_point_gdf.loc[precise_matches.index,geolevel+col] = polygon[col]