pip install geopandas==0.10.2

Geographic pandas extensions

Source
Among top 1000 packages on PyPI.
Over 4.5M downloads in the last 90 days.

Commonly used with geopandas

Based on how often these packages appear together in public requirements.txt files on GitHub.

folium

Make beautiful maps with Leaflet.js & Python

plotly

An open-source, interactive data visualization library for Python

pandas

Powerful data structures for data analysis, time series, and statistics

xarray

N-D labeled arrays and datasets in Python

seaborn

seaborn: statistical data visualization

tsfresh

tsfresh extracts relevant characteristics from time series

descartes

Use geometric objects as matplotlib paths and patches

pandas-datareader

Data readers extracted from the pandas codebase,should be compatible with recent pandas versions

snakemake

Snakemake is a workflow management system that aims to reduce the complexity of creating workflows by providing a fast and comfortable execution environment, together with a clean and modern specification language in python style. Snakemake workflows are essentially Python scripts extended by declarative code to define rules. Rules describe how to create output files from input files.

cufflinks

Productivity Tools for Plotly + Pandas

matminer

matminer is a library that contains tools for data mining in Materials Science

jupyter_nbextensions_configurator

jupyter serverextension providing configuration interfaces for nbextensions.

MetPy

Collection of tools for reading, visualizing and performing calculations with weather data.

jupytext

Jupyter notebooks as Markdown documents, Julia, Python or R scripts

sos-notebook

Script of Scripts (SoS): an interactive, cross-platform, and cross-language workflow system for reproducible data analysis

pyprojroot

Find project root paths and return relative project files

pyjanitor

Tools for cleaning pandas DataFrames

mknotebooks

Plugin for mkdocs to generate markdown documents from jupyter notebooks.

pydataset

Provides instant access to many popular datasets right from Python (in dataframe structure).

Version usage of geopandas

Proportion of downloaded versions in the last 3 months (only versions over 1%).

0.9.0

51.87%

0.10.2

15.22%

0.8.1

10.39%

0.10.1

5.07%

0.7.0

3.60%

0.10.0

3.55%

0.8.2

2.65%

0.6.2

2.15%

0.5.0

1.58%

0.5.1

1.02%