10 个仓库
Libraries for statistical, scientific, and interactive plotting in Python.
Explore 10 awesome GitHub repositories matching part of an awesome list · Python Visualization Libraries. Refine with filters or upvote what's useful.
pyecharts 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.
This 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.
missingno 是一个用于缺失数据模式可视化和分析的 Python 库。它提供了一套工具来分析数据集的完整性、映射数据缺口并量化变量中空值的数量。 该库通过空值相关性分析器和分层数据聚类工具脱颖而出。这些组件允许通过测量一个变量的缺失如何与另一个变量的缺失相关联,来检测系统性依赖和趋势。 该工具集涵盖了更广泛的数据质量审计和探索性分析功能。它包括使用线性和对数刻度进行列空值汇总的功能,以及用于识别记录中系统性缺口的基于矩阵的映射。
Visualization utilities for checking dataset completeness.
ggplot port for python
Plotting system modeled after R's ggplot2.
Python library that makes it easy for data scientists to create charts.
Bokeh wrapper designed for simplified data science charting.
Python+Numpy+OpenGL: fast, scalable and beautiful scientific visualization
OpenGL-based library for scientific visualizations.
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.
Text mode diagrams using UTF-8 characters and fancy colors
Tool for generating text-based diagrams using UTF-8.
The power of Chart.js with Python
Jupyter Notebook integration for Chart.js.
Python 3D library.
3D library for Python based on PyOpenGL.