Question

这是我的熊猫DataFrame：

Area     Gender Amount
XXX      Men    23495
YYY      Men    9336
ZZZ      Men    8828
TTT      Men    11546
XXX      Women  19798
YYY      Women  8235
ZZZ      Women  9122
TTT      Women  10800

这是我绘制多个图表的代码：

import pandas as pd
import bumpy as np
import seaborn as sns
from matplotlib.gridspec import GridSpec
import matplotlib.pyplot as plt

df_men = df[df["Gender"]=="Men"].drop("Gender", axis=1)
df_women = df[df["Gender"]=="Women"].drop("Gender", axis=1)

men_labels = df_men.Area.values
men_counts = df_men.Quantity.values

women_labels = df_women.Area.values
women_counts = df_women.Quantity.values

plt.figure(1, figsize=(20,10))
the_grid = GridSpec(2, 2)
cmap = plt.get_cmap('coolwarm')
colors = [cmap(i) for i in np.linspace(0, 1, 8)]

plt.subplot(the_grid[0, 0], aspect=1, title='Men')
_ = plt.pie(men_counts, labels=men_labels, autopct='%1.1f%%', shadow=True, colors=colors)

plt.subplot(the_grid[0, 1], aspect=1, title='Women')
_ = plt.pie(women_counts, labels=women_labels, autopct='%.0f%%', shadow=True, colors=colors)

plt.subplot(the_grid[1, 0], aspect=1, title='Men')
sns.barplot(x='Quantity', y='Area', data=df_men, palette='coolwarm')

plt.subplot(the_grid[1, 1], aspect=1, title='Women')
sns.barplot(x='Quantity', y='Area', data=df_women, palette='coolwarm')

plt.show()

问题是第二行的图未正确显示。它们似乎变平，没有条形可见。如果我分别绘制这些图表，它们绘制得很好。我的代码有什么问题？

这不起作用：

plt.subplot(the_grid[1, 1], aspect=1, title='Women')
sns.barplot(x='Quantity', y='Area', data=df_women, palette='coolwarm')

但这可行：

sns.barplot(x='Quantity', y='Area', data=df_women, palette='coolwarm')

更新：

这是df.to_dict()的输出。

{'Amount': {0: 23495,
  1: 9336,
  2: 8828,
  3: 11546,
  4: 19798,
  5: 8235,
  6: 9122,
  7: 10800},
 'Gender': {0: 'Men',
  1: 'Men',
  2: 'Men',
  3: 'Men',
  4: 'Women',
  5: 'Women',
  6: 'Women',
  7: 'Women'},
 'Area': {0: 'XXX',
  1: 'YYY',
  2: 'ZZZ',
  3: 'TTT',
  4: 'XXX',
  5: 'YYY',
  6: 'ZZZ',
  7: 'TTT'}}

Answer 1

我自己找到了答案。解决方法是删除aspect=1：

plt.subplot(the_grid[1, 1], aspect=1, title='Women')

这有效：

plt.subplot(the_grid[1, 1], title='Women')
sns.barplot(x='Quantity', y='Area', data=df_women, palette='coolwarm')

使用Matplotlib的GridSpec

1 个答案: