pip install geopandas==0.10.2
Geographic pandas extensions
SourceAmong top 1000 packages on PyPI.
Over 4.5M downloads in the last 90 days.
geopandas
Based on how often these packages appear together in public
requirements.txt
files on GitHub.
Make beautiful maps with Leaflet.js & Python |
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An open-source, interactive data visualization library for Python |
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Powerful data structures for data analysis, time series, and statistics |
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N-D labeled arrays and datasets in Python |
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seaborn: statistical data visualization |
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tsfresh extracts relevant characteristics from time series |
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Use geometric objects as matplotlib paths and patches |
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Data readers extracted from the pandas codebase,should be compatible with recent pandas versions |
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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. |
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Productivity Tools for Plotly + Pandas |
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matminer is a library that contains tools for data mining in Materials Science |
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jupyter serverextension providing configuration interfaces for nbextensions. |
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Collection of tools for reading, visualizing and performing calculations with weather data. |
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Jupyter notebooks as Markdown documents, Julia, Python or R scripts |
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Script of Scripts (SoS): an interactive, cross-platform, and cross-language workflow system for reproducible data analysis |
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Find project root paths and return relative project files |
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Tools for cleaning pandas DataFrames |
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Plugin for mkdocs to generate markdown documents from jupyter notebooks. |
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Provides instant access to many popular datasets right from Python (in dataframe structure). |
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% |