我在加拿大7个省之间打开了一个csv文件。我将把这个数字作为一个新列添加到shapefile中。我想知道如何根据我下面的十六进制代码的颜色列表来分配颜色。在

下面的代码可以工作，但是输出的颜色是程序默认选择的，但是我想根据颜色列表中的索引位置分配特定的颜色，该位置也存在于csv中，并作为列添加到shapefile中。在

我尝试使用LinearSegmentedColormap，但无法使其工作。任何帮助都将不胜感激。在import geopandas as gpd

import matplotlib.pyplot as plt

import numpy as np

import csv

with open('canadadata.csv', 'r') as f:

reader = csv.reader(f, delimiter=",")

header = next(reader)

# Store states in dictionary keys, and price as values

forsaledata = {}

for row in reader:

k = int(row[3])

v = int(row[2])

forsaledata[k] = v

# open shapefile

canada = gpd.GeoDataFrame.from_file('lpr_000b16a_e.shp')

# create new column with shapefile data

canada['color'] = np.zeros(len(canada))

# assign colors to each province in the new column

canada.ix[0, 'color'] = int(forsaledata.get(0,8))

canada.ix[1, 'color'] = int(forsaledata.get(1,8))

canada.ix[2, 'color'] = int(forsaledata.get(2,8))

canada.ix[3, 'color'] = int(forsaledata.get(3,8))

canada.ix[4, 'color'] = int(forsaledata.get(4,8))

canada.ix[5, 'color'] = int(forsaledata.get(5,8))

canada.ix[6, 'color'] = int(forsaledata.get(6,8))

canada.ix[7, 'color'] = int(forsaledata.get(7,8))

canada.ix[8, 'color'] = int(forsaledata.get(8,8))

canada.ix[9, 'color'] = int(forsaledata.get(9,8))

canada.ix[10, 'color'] = int(forsaledata.get(10,8))

canada.ix[11, 'color'] = int(forsaledata.get(11,8))

canada.ix[12, 'color'] = int(forsaledata.get(12,8))

# establish colors, 9th color/index 8 is white

colors = ["#f7fbff", "#deebf7", "#c6dbef", "#9ecae1", "#6baed6", "#4292c6", "#2171b5", "#084594", "#ffffff"]

canada.plot(column='color')

plt.show()