Cnmaps

<h1 align="center" style="margin:1em;"> <a href="static/images/logo.png"> <img src="static/images/logo.png" alt="cnmaps"></a> </h1> <p align="center"> <a href="https://github.com/cnmetlab/cnmaps/actions/workflows/python-package-conda.yml"> <img src="https://github.com/cnmetlab/cnmaps/actions/workflows/python-package-conda.yml/badge.svg?branch=main" alt="Pytest" /></a> <a href="https://github.com/cnmetlab/cnmaps/actions/workflows/pypi-publish.yml"> <img src="https://github.com/cnmetlab/cnmaps/actions/workflows/pypi-publish.yml/badge.svg" alt="Pypi publish"/> </a> <a href="https://anaconda.org/conda-forge/cnmaps"> <img src="https://anaconda.org/conda-forge/cnmaps/badges/version.svg" alt="Anaconda" /></a> <a href="https://anaconda.org/conda-forge/cnmaps"> <img src="https://anaconda.org/conda-forge/cnmaps/badges/platforms.svg" /> </a> <a href="https://anaconda.org/conda-forge/cnmaps"> <img src="https://anaconda.org/conda-forge/cnmaps/badges/latest_release_relative_date.svg" /> </a> <a href="https://anaconda.org/conda-forge/cnmaps"> <img src="https://anaconda.org/conda-forge/cnmaps/badges/downloads.svg" alt="Conda downloads"/> </a> <a href="https://badge.fury.io/py/cnmaps"> <img src="https://badge.fury.io/py/cnmaps.svg" alt="PyPI version" /></a> <a href="https://pepy.tech/project/cnmaps"> <img src="https://static.pepy.tech/personalized-badge/cnmaps?period=total&units=international_system&left_color=grey&right_color=orange&left_text=Pypi%20Downloads" alt="Pypi Downloads" /></a> <a href='https://cnmaps.readthedocs.io/zh_CN/latest/'> <img src='https://readthedocs.org/projects/cnmaps/badge/?version=latest' alt='Documentation Status' /> </a> <a href="https://www.codacy.com/gh/Clarmy/cnmaps/dashboard?utm_source=github.com&amp;utm_medium=referral&amp;utm_content=Clarmy/cnmaps&amp;utm_campaign=Badge_Grade"> <img src="https://app.codacy.com/project/badge/Grade/ef6ab1893b0b47428b287f2f2875021c"/> </a> <a href="https://cnmetlab.github.io/cnmaps/performance/"> <img src="https://img.shields.io/badge/performance-benchmark-yellow"/> </a> <a href="https://codecov.io/gh/cnmetlab/cnmaps" > <img src="https://codecov.io/gh/cnmetlab/cnmaps/branch/main/graph/badge.svg?token=CF80D3CSR9"/> </a> <a href="https://github.com/Clarmy/cnmaps/issues"> <img src="https://img.shields.io/badge/contributions-welcome-brightgreen.svg?style=flat" alt="contributions welcome" /></a> <a href="https://github.com/psf/black"> <img src="https://img.shields.io/badge/code%20style-black-000000.svg" alt="style" /></a> </p> <h4 align="center"> cnmaps 是一个可以让中国地图画起来更丝滑的地图类 python 扩展包 </h4>

安装

安装 cnmaps 需要满足 Python 的解释器在 3.9 版本及以上。

使用pip安装

cnmaps 最简单也最快的安装方法是使用 pip 来安装 cnmaps： $ pip install -U cnmaps

使用conda安装

你也可以使用 conda 安装： $ conda install -c conda-forge cnmaps

快速开始

绘制国界

用最简单直接的方式，来绘制你的第一张中国地图。

import cartopy.crs as ccrs
import matplotlib.pyplot as plt
from cnmaps import get_adm_maps, draw_maps

fig = plt.figure(figsize=(10,10))
ax = fig.add_subplot(111, projection=ccrs.PlateCarree())

draw_maps(get_adm_maps(level='国')) 
plt.show()

绘制省界

cnmaps还可以绘制各省（特区/直辖市）的地图

import cartopy.crs as ccrs
import matplotlib.pyplot as plt
from cnmaps import get_adm_maps, draw_maps

fig = plt.figure(figsize=(10,10))
ax = fig.add_subplot(111, projection=ccrs.PlateCarree())

draw_maps(get_adm_maps(level='省'), linewidth=0.8, color='r') 

plt.show()

绘制市界

cnmaps可以绘制市级的行政区地图。

import cartopy.crs as ccrs
import matplotlib.pyplot as plt
from cnmaps import get_adm_maps, draw_maps

fig = plt.figure(figsize=(15,15))
ax = fig.add_subplot(111, projection=ccrs.PlateCarree())

draw_maps(get_adm_maps(level='市'), linewidth=0.5, color='g') 

plt.show()

绘制区县界

cnmaps可以绘制区县级的行政区地图。

import cartopy.crs as ccrs
import matplotlib.pyplot as plt
from cnmaps import get_adm_maps, draw_maps

fig = plt.figure(figsize=(20,20))
ax = fig.add_subplot(111, projection=ccrs.PlateCarree())

draw_maps(get_adm_maps(level='区县'), linewidth=0.8, color='r') 

plt.show()

Logo

本项目的Logo地图是如何绘制的？请执行下面的代码。

import cartopy.crs as ccrs
import matplotlib.pyplot as plt
from cnmaps import get_adm_maps

fig = plt.figure(figsize=(5,5))
proj = ccrs.Orthographic(central_longitude=100.0, central_latitude=30)
ax = fig.add_subplot(111, projection=proj)

ax.stock_img()
china, sourth_sea = get_adm_maps(level='国', only_polygon=True)

ax.set_global()
ax.add_geometries(china, crs=ccrs.PlateCarree(), edgecolor='r', facecolor='r')
ax.add_geometries(sourth_sea, crs=ccrs.PlateCarree(), edgecolor='r')
ax.outline_patch.set_edgecolor('white')

plt.savefig('../static/images/logo-base.png', bbox_inches='tight')

使用指南

针对本项目更多的使用方法，我们还有一份更详细的文档：cnmaps使用指南

引用

本项目适用的地图边界的数据源包括：

1. GaryBikini/ChinaAdminDivisonSHP: v2.0, 2021, DOI: 10.5281/zenodo.4167299

海拔高度地形数据来自ASTER数字高程模型，并对原始数据进行了稀释。