我將如何格式化下面的餅圖子圖,以便在圖標題和子圖標題之間有更多的空白區域.理想情況下,子圖標題也會更接近實際的餅圖本身.

我似乎無法在文檔中找到任何可能啟用此功能的內容,但我是matplotlib的新手.

import matplotlib.pyplot as plt

import pandas as pd

from pandas import DataFrame, Series

m = {"Men" : {"Yes": 2, "No": 8}}

w = {"Women": {"Yes": 3, "No": 7}}

data = {**m, **w}

df = DataFrame(data)

fig, axes = plt.subplots(1, len(df.columns))

fig.suptitle("Would you prefer to work from home?", fontsize=18)

logging.debug("fig.axes: {}".format(fig.axes))

for i, ax in enumerate(fig.axes):

col = df.ix[:, i]

ax = fig.axes[i]

pcnt_col = col / col.sum() * 100

ax.set_title("{} (n={})".format(pcnt_col.name, col.sum()))

ax.pie(pcnt_col.values, labels=pcnt_col.index,

autopct="%1.1f%%", startangle=90)

ax.axis("equal")

plt.legend(loc="lower right", title="Answer", fancybox=True,

ncol=1, shadow=True)

plt.show()

解決方法:

使用subplots_adjust將兩者分開

plt.subplots_adjust(top=0.75)

import matplotlib.pyplot as plt

import pandas as pd

from pandas import DataFrame, Series

m = {"Men" : {"Yes": 2, "No": 8}}

w = {"Women": {"Yes": 3, "No": 7}}

data = {**m, **w}

df = DataFrame(data)

fig, axes = plt.subplots(1, len(df.columns))

fig.suptitle("Would you prefer to work from home?", fontsize=18)

logging.debug("fig.axes: {}".format(fig.axes))

for i, ax in enumerate(fig.axes):

col = df.ix[:, i]

ax = fig.axes[i]

pcnt_col = col / col.sum() * 100

ax.set_title("{} (n={})".format(pcnt_col.name, col.sum()))

ax.pie(pcnt_col.values, labels=pcnt_col.index,

autopct="%1.1f%%", startangle=90)

ax.axis("equal")

plt.legend(loc="lower right", title="Answer", fancybox=True,

ncol=1, shadow=True)

plt.subplots_adjust(top=0.55)

plt.show()

標簽：python,matplotlib

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