ncm*_*ist 58 python matplotlib pandas
当我运行此代码时
import pandas as pd
import numpy as np
def add_prop(group):
births = group.births.astype(float)
group['prop'] = births/births.sum()
return group
pieces = []
columns = ['name', 'sex', 'births']
for year in range(1880, 2012):
path = 'yob%d.txt' % year
frame = pd.read_csv(path, names = columns)
frame['year'] = year
pieces.append(frame)
names = pd.concat(pieces, ignore_index = True)
total_births = names.pivot_table('births', rows = 'year', cols = 'sex', aggfunc = sum)
total_births.plot(title = 'Total Births by sex and year')
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我没有情节.这是来自Wes McKinney关于使用Python进行数据分析的书.谁能指出我正确的方向?
unu*_*tbu 164
放
import matplotlib.pyplot as plt
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在顶部,和
plt.show()
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在末尾.
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