10 Repos
Awesome GitHub RepositoriesPython Visualization Libraries
Libraries for statistical, scientific, and interactive plotting in Python.
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Awesome Python Visualization Libraries GitHub Repositories
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- pyecharts/pyecharts
pyecharts/pyecharts
15,761Auf GitHub ansehenpyecharts is a Python visualization library and wrapper for the Echarts JavaScript engine. It translates Python data and configurations into JSON specifications to generate interactive web-based charts and graphs. The library provides specialized capabilities for geographic data mapping using a comprehensive library of map assets to visualize spatial information. It also includes utilities to capture rasterized snapshots of rendered web visualizations for export as static image files. The tool supports rendering interactive plots directly within data science notebook environments and exporti
Python bindings for the ECharts library.
Python - pandas-profiling/pandas-profiling
pandas-profiling/pandas-profiling
13,609Auf GitHub ansehenThis project is an exploratory data analysis library and profiling tool for Pandas and Spark DataFrames. It automates the initial investigation of datasets by generating comprehensive descriptive analysis reports, statistical summaries, and data quality warnings. The system functions as a data quality profiler to detect missing values, duplicate rows, and type inconsistencies. It includes a dataset comparison tool for identifying structural and content shifts between different versions of the same data, as well as specialized tools for time-series analysis to calculate auto-correlation and se
Generates statistical reports and visualizations for data analysis.
Python - residentmario/missingno
ResidentMario/missingno
4,209Auf GitHub ansehenmissingno ist eine Python-Bibliothek zur Visualisierung und Analyse von Mustern fehlender Daten. Sie bietet eine Reihe von Tools, um die Vollständigkeit von Datensätzen zu profilieren, Datenlücken abzubilden und das Volumen von Null-Werten über Variablen hinweg zu quantifizieren. Die Bibliothek zeichnet sich durch einen Nullity-Korrelations-Analyzer und ein hierarchisches Daten-Clustering-Tool aus. Diese Komponenten ermöglichen die Erkennung systemischer Abhängigkeiten und Trends, indem gemessen wird, wie das Fehlen einer Variable mit dem Fehlen einer anderen zusammenhängt. Das Toolset deckt breitere Funktionen für Data-Quality-Auditing und explorative Analysen ab. Es enthält Features zur Zusammenfassung der Spalten-Nullität mittels linearer und logarithmischer Skalen sowie matrixbasierte Mappings zur Identifizierung systemischer Lücken in Datensätzen.
Visualization utilities for checking dataset completeness.
Pythondata-analysisdata-visualizationmissing-data - yhat/ggpy
yhat/ggpy
3,691Auf GitHub ansehenggplot port for python
Plotting system modeled after R's ggplot2.
Python - spotify/chartify
spotify/chartify
3,637Auf GitHub ansehenPython library that makes it easy for data scientists to create charts.
Bokeh wrapper designed for simplified data science charting.
Python - glumpy/glumpy
glumpy/glumpy
1,279Auf GitHub ansehenPython+Numpy+OpenGL: fast, scalable and beautiful scientific visualization
OpenGL-based library for scientific visualizations.
Python - heremaps/pptk
heremaps/pptk
The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.
Tool for visualizing and working with 2D/3D point clouds.
C++ - tehmaze/diagram
tehmaze/diagram
Text mode diagrams using UTF-8 characters and fancy colors
Tool for generating text-based diagrams using UTF-8.
Python - nicohlr/ipychart
nicohlr/ipychart
The power of Chart.js with Python
Jupyter Notebook integration for Chart.js.
Python - stemkoski/three.py
stemkoski/three.py
Python 3D library.
3D library for Python based on PyOpenGL.
Python
