使用 Pandas 绘制箱线图

Question

尝试为pandas数据框绘制箱线图，但x轴列名似乎不太清晰。

import matplotlib.pyplot as plt
pd.set_option('display.mpl_style', 'default')
fig, ax1 = plt.subplots()
%matplotlib inline
df.boxplot(column = ['avg_dist','avg_rating_by_driver','avg_rating_of_driver','avg_surge','surge_pct','trips_in_first_30_days','weekday_pct'])

以下是输出结果 如何修复这个问题，使x轴列显示清晰。

- optimus_prime

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也许参数 rot 可以帮助。 - jezrael

Answer 1

我认为你需要参数rot:

cols = ['avg_dist','avg_rating_by_driver','avg_rating_of_driver',
        'avg_surge','surge_pct','trips_in_first_30_days','weekday_pct']

df.boxplot(column=cols, rot=90)

示例：

np.random.seed(100)
cols = ['avg_dist','avg_rating_by_driver','avg_rating_of_driver',
        'avg_surge','surge_pct','trips_in_first_30_days','weekday_pct']
df = pd.DataFrame(np.random.rand(10, 7), columns=cols)
df.boxplot(column=cols, rot=90)

- jezrael

Answer 2

另一种选择是将您的框的方向设置为水平方向。

np.random.seed(100)
cols = ['avg_dist','avg_rating_by_driver','avg_rating_of_driver',
        'avg_surge','surge_pct','trips_in_first_30_days','weekday_pct']
df = pd.DataFrame(np.random.rand(10, 7), columns=cols)
df.boxplot(column=cols, vert=False)

- piRSquared