GeoPandas，MatPlotLib绘制自定义颜色 [英] GeoPandas, MatPlotLib Plot Custom Colors

问题描述

给出形状文件

也许这不是最优雅的解决方案，但这至少应该解释一下颜色图如何在Geopandas中起作用的概念，并为您提供所需的图.另外，请查看 geopandas文档的页面，以获取小地图上的更多信息.着色.

Given the shape file available here: I'd like to plot the specified set of counties below with custom colors; 'blue' for Wayne and Washtenaw counties and 'grey' for the others.

import geopandas as gpd
import matplotlib.pyplot as plt
%matplotlib inline

shpfile=<Path to unzipped .shp file referenced and linked above>
c=gpd.read_file(shpfile)
c=c.loc[c['GEOID'].isin(['26161','26093','26049','26091','26075','26125','26163','26099','26115','26065'])]
c.plot()

I'd prefer to assign the colors as a column in the data frame first, then invoke them when plotting somehow. Is this possible?

UPDATE

I've tried passing a list and plotting in a loop as I would with a scatter plot, but it does not seem to work the same way as it just plots separate county maps instead of all of them together in one plot.

Here's what I tried:

color=['b','b','b','b','b','c','c','c','c','c']
for i in range(10):
    c.iloc[i:i+1].plot(c='white',linewidth=.5,color=color[i])

Thanks in advance!

解决方案

Geopandas wants to color your map according to data in your geopandas dataframe. So the simplest coloring scheme you could go with is to add a column 'color' to your dataframe and populate it with some values based on how you want your counties colored.

import numpy as np
import geopandas as gpd
import matplotlib.pyplot as plt
from matplotlib.colors import LinearSegmentedColormap

shpfile = 'cb_2015_us_county_20m.shp'
c = gpd.read_file(shpfile)
c = c.loc[c['GEOID'].isin(['26161','26093','26049','26091','26075',
                           '26125','26163','26099','26115','26065'])]

c['color'] = np.zeros(len(c))
# 23 is index for Washtenaw county and 1992 is index for Wayne county
c.ix[23, 'color'] = 1.0
c.ix[1992, 'color'] = 1.0

# create simple linear colormap that maps grey to blue
cmap = LinearSegmentedColormap.from_list(
    'mycmap', [(0, 'grey'), (1, 'blue')])

c.plot(column='color', cmap=cmap)

Perhaps it's not the most elegant solution, but this should at least explain the concept of how colormaps function in geopandas and get you the plot you're looking for. Also check out this page of the geopandas docs for a little more info on map coloring.

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