vamseeachanta 1.1 Install (+2)
1.1 Install
# Conda (recommended — resolves GDAL native deps)
conda install -c conda-forge geopandas rasterio fiona pyproj \
shapely folium xarray rioxarray cartopy
# pip (ensure GDAL system libs installed first)
pip install geopandas rasterio fiona pyproj shapely folium \
xarray rioxarray cartopy
1.2 Format Reference
| Format | Extension | Read | Write | Library |
|---|---|---|---|---|
| GeoPackage | .gpkg | Yes | Yes | GeoPandas/Fiona |
| Shapefile | .shp | Yes | Yes | GeoPandas/Fiona |
| GeoJSON | .geojson | Yes | Yes | GeoPandas/Fiona |
| GeoTIFF | .tif | Yes | Yes | Rasterio |
| NetCDF | .nc | Yes | Yes | xarray/rioxarray |
| KML | .kml | Yes | Yes | Fiona (with driver) |
| CSV + lat/lon | .csv | Yes | Yes | GeoPandas (from_csv) |
| GeoParquet | .parquet | Yes | Yes | GeoPandas |
1.3 Load Well Locations from CSV
import geopandas as gpd
import pandas as pd
from shapely.geometry import Point
df = pd.read_csv("wells.csv") # columns: well_name, latitude, longitude
gdf = gpd.GeoDataFrame(
df,
geometry=gpd.points_from_xy(df["longitude"], df["latitude"]),
crs="EPSG:4326" # WGS84 geographic
)
print(gdf.head())