excelgdb

A toolkit for converting Excel coordinates into ArcGIS Geodatabase (GDB) layers, including points, lines, and polygons. Features

Convert Excel Data: Easily convert Excel files with coordinate data into ArcGIS Geodatabase feature classes.
Supports Points, Lines, and Polygons: Add multiple geometry types from Excel sheets.
Organized Structure: Create, populate, and clean Geodatabase layers from Excel data using separate modules for points, lines, and polygons.

Installation

Install the excelgdb package: pip install excelgdb

Usage

Below is a complete example of how to use the excelgdb package to read coordinate data from Excel sheets and add it to ArcGIS Geodatabase layers.

import pandas as pd

import excelgdb

def main(): # Geodatabase path gdb_path = r"Data\Ouput\example.gdb" # Function to check and add 'ORIG_FID' field if it does not exist

# Function to read points from an Excel file and add them to the point layer
def add_points_from_excel(layer, excel_file):
    df = pd.read_excel(excel_file,sheet_name="hospital")
    for _, row in df.iterrows():
        x, y = row['X'], row['Y']
        layer.add_point(x, y)

# Function to read lines from an Excel file and add them to the line layer
def add_lines_from_excel(layer, excel_file, sort_field):
    df = pd.read_excel(excel_file, sheet_name="railway")   
    # Grouping points by 'sort_field' column in the Excel file to create separate lines
    grouped = df.groupby(sort_field)   
    # Creating a dictionary to store coordinates grouped by `sort_field`
    coordinates_grouped = {}
    for name, group in grouped:
        # Extracting coordinates for the current line segment
        coordinates = [(row['X'], row['Y']) for _, row in group.iterrows()]
        coordinates_grouped[name] = coordinates  # Store coordinates with `sort_field` as the key

    # Adding grouped coordinates to the layer as lines
    layer.add_line_xls(coordinates_grouped)

# Function to read polygons from an Excel file and add them to the polygon layer
def add_polygons_from_excel(layer, excel_file,sort_field):
    df = pd.read_excel(excel_file, sheet_name="shahrestan")   
    # Grouping coordinates by 'sort_field' column if needed
    grouped = df.groupby(sort_field)   
    # Creating a dictionary to store coordinates grouped by `sort_field`
    coordinates_grouped = {}
    for name, group in grouped:
        # Extracting coordinates for the current polygon
        coordinates = [(row['X'], row['Y']) for _, row in group.iterrows()]
        coordinates_grouped[name] = coordinates  # Store coordinates with `sort_field` as the key

    # Adding grouped coordinates to the layer as polygons
    layer.add_polygon_xls(coordinates_grouped)

# Creating layers & Reading data from Excel files and adding to layers
point_layer = excelgdb.PointLayer(gdb_path, "Hospital")
add_points_from_excel(point_layer, r"data\hospital.xlsx")

line_layer = excelgdb.LineLayer(gdb_path, "Rails", "ORIG_FID")
add_lines_from_excel(line_layer, r"data\railway.xlsx", "ORIG_FID")
line_layer.delete_null_records()

polygon_layer = excelgdb.PolygonLayer(gdb_path, "Shahrestan", "ORIG_FID")
add_polygons_from_excel(polygon_layer, r"data\shahrestan.xlsx", "ORIG_FID")
polygon_layer.delete_null_records()

if name == "main": main()