使用 Python、Pandas 和 Geopandas 绘制英国选举结果

Question

as an exercise I am trying to plot out the UK's general election results from 2017. I have used Pandas to manipulate my dataframe and geopandas to visualise the results where every region is coloured by the winning party, conservative: blue, labour: red etc. ..

我已经设法将 plot 弄出来了，但无论我做什么 - 颜色都没有正确显示，下面我附上了我的代码，我的 output 以及 Z78E6221F6393D1356681DB398F14CED 应该是什么样子。 任何帮助将不胜感激。

我的代码：

import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import geopandas as gpd
from shapely.geometry import multipolygon, polygon, Polygon, MultiPolygon
%matplotlib inline

uk_map = gpd.read_file('Westminster_Parliamentary_Constituencies__December_2017__UK_BGC_V2.shp')
#shape file of the uk

df = pd.read_csv('uk_election_data_v2.csv')
#election results

uk_map.rename(columns={'PCON17NM':'Constituency'}, inplace=True)
uk_map.sort_values('Constituency', inplace=True)

df.sort_values('Constituency', inplace=True)

party_colours={'Conservative':'#0087dc',
               'Liberal Democrat':'#FDBB30',
               'Labour':'#d50000',
               'SNP':'#FFF95D',
               'Green':'#00FF00',
               'Independent':'#800080',
               'Sinn Fein':'#228B22',
               'Democratic Unionist':'#808080',
               'Plaid Cymru':'#FF5733'
              }
#dictionary to assign the colours to each winning party

df['winner_fill']=df['2017_winner'].apply(lambda s: party_colours.get(s,"#aaaaaa"))
#new column that applies the colour for the winning party

election_results = uk_map.merge(df, on='Constituency')
#merge the shape and df together

election_results.plot('winner_fill', figsize=(12,12))

[预期输出]

[我的输出]

Answer 1

我认为这个问题apply于

df['winner_fill']=df['2017_winner'].apply(lambda s: party_colours.get(s,"#aaaaaa"))

改用map

df['winner_fill'] = df['2017_winner'].map(lambda s: party_colours.get(s,"#aaaaaa"))