Batch conversion of geocoded CSV files to ESRI shapefiles using python

convert_csv_to_shp.py

# 1 Import Libraries
import pandas as pd
from geopandas import GeoDataFrame
from shapely.geometry import Point
import os
import fiona

# 2 Directory containing your .csv files
directory = r'C:\user\my_csv_files\...'

# 3 Read files sequentially
for file in os.listdir(directory):
    filename = os.fsdecode(file)
    if file.endswith(".csv"):                 #Ignoring files with endings different from .csv in your folder
        input_file = directory + filename
        df = pd.read_csv(input_file)          #Reading your csv file with pandas
        
        # 4 Create tuples of geometry by zipping Longitude and latitude columns in your csv file
        geometry = [Point(xy) for xy in zip(df.Longitude, df.Latitude)] 
        
        # 5 Define coordinate reference system on which to project your resulting shapefile
        crs = {'init': 'epsg:4326'}
        
        # 6 Convert pandas object (containing your csv) to geodataframe object using geopandas
        gdf = GeoDataFrame(df, crs = crs, geometry=geometry)
        
        # 7 Save file to local destination
        output_filename = directory + "shape files\\" + filename[:-4] + ".shp"
        gdf.to_file(filename= output_filename, driver='ESRI Shapefile')