Matplotlib 子图标题、图标题格式

Question

我将如何格式化下面的饼图子图，以便在无花果标题和子图标题之间有更多的空白。 理想情况下，子图标题也应该更接近实际的饼图本身。

我似乎无法在文档中找到任何可能启用此功能的内容，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()

Answer 1

使用subplots_adjust将两者分开

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()