A Basemap/Matplotlib toolkit which allows the simplified creation of choropleth maps with colorbars using shapefiles, and the combined plotting of pie charts within the centroid coordinates of the shapefile's p
Jupyter_Notebook_python/Andhra_rainfall_plots.ipynb Subset a region and mask a NetCDF file with a shapefile and plot with shapefile overlaid. point_map_cartopy.ipynb, point_map.ipynb, jjas_composites_temperature.ipynb WIP! Need to open in Google Colab for now. Dependencies: Python 3.10 xarray...
I have been forever annoyed at how long it takes to plot data on a large shapefile. And this is a domain where doesn’t matter if you’re working with MapInfo or R. Just zooming the figure takes ages. But a couple of days ago I bumped into an excellent blogpost by John Myles White...
I am sure that there are solutions to this problem that use R, but I have not yet found anything that is as quick and easy as the Python wrappers for the Google Maps API. (If you are unfamiliar with Python, then I advise you to take the time to learn the basics – your time will...
Python 3.5 + Cartopy Metpy Shapefile Pyresample You can directly install this module via pip install cinrad Alternatively, you can download from github page and then excecute python setup.py install Modules cinrad.datastruct This submodule contains data structure used in this program. ...
Les us start with a simple example using the "World Borders Dataset" . Let us first import all neccessary libraries and read the shapefile: import geopandas as gpd import pandas as pd import pandas_bokeh pandas_bokeh.output_notebook() #Read in GeoJSON from URL: df_states = gpd.read_fil...
Python 3.5 + Cartopy Metpy Shapefile Pyresample You can directly install this module via pip install cinrad Alternatively, you can download from github page and then excecute python setup.py install Modules cinrad.datastruct This submodule contains data structure used in this program. ...