Metadata-Version: 2.1
Name: plot-map
Version: 0.1.7
Summary: A tool to add basemap in matplotlib
Home-page: https://github.com/ni1o1/plot_map
Author: Qing Yu
Author-email: qingyu0815@foxmail.com
License: MIT
Project-URL: Bug Tracker, https://github.com/ni1o1/plot_map/issues
Description: # plot_map
        
        plot_map是一个基于matplotlib的工具，在用geopandas或者pyplot绘制地理图形的时候，你可以用plot_map来添加地图底图  
        When you want to plot geo object using python geopandas or matplotlib.pyplot, you can use this module to generate map backgroud.  
        
        ## 安装
        
            pip install plot-map
        
        ## 使用方法
        
        ### 地图底图加载
        
        只需要用以下代码：  
        Just use the following code:  
        
            import plot_map
            #设定显示范围
            bounds = [lon1,lat1,lon2,lat2]  
            plot_map.plot_map(plt,bounds,zoom = 12,style = 4)  
        
        你可以通过改变参数"style"和"styleid"来改变底图的风格样式  
        You can change your map style by changing the "style" and "styleid" in the function plot_map  
        
        	bounds -- Set your plotting boundary [lon1,lat1,lon2,lat2] (wgs1984) 底图的绘图边界，[lon1,lat1,lon2,lat2] (WGS84坐标系) 其中，lon1,lat1是左下角坐标，lon2,lat2是右上角坐标
        	zoom -- The zoom level of the map  底图的放大等级，越大越精细，加载的时间也就越久，一般单个城市大小的范围，这个参数选取12到16之间
        	style -- From 1 to 7 represent different map styles,1-6 is from openstreetmap and 7 is the mapbox    地图底图的样式，可选1-7
        	styleid -- if style is set as 7(from mapbox), you can change the styleid here, "dark" or "light" or your own style  
        	imgsavepath -- Path to save the tile map so that you don't have to download again瓦片地图储存路径，设置路径后，会把地图下载到本地的文件夹下，使用时也会优先搜索是否有已经下载的瓦片，默认的存放路径是C:\\
        	printlog -- Show the log
        
        ### 绘制指北针和比例尺的功能plotscale
        
            plot_map.plotscale(ax,bounds = bounds,textsize = 10,compasssize = 1,accuracy = 2000,rect = [0.06,0.03])  
        
        ### 效果
        
        <img src="https://raw.githubusercontent.com/ni1o1/pygeo-tutorial/master/resource/metro-example.png" style="width:600px">
Platform: UNKNOWN
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: Operating System :: OS Independent
Classifier: Framework :: Matplotlib
Classifier: Topic :: Text Processing :: Indexing
Classifier: Topic :: Utilities
Classifier: Topic :: Internet
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.8
Requires-Python: >=3.6
Description-Content-Type: text/markdown
