使用 pandas 的箱线图
Box plot using pandas
正在尝试为 pandas 数据框绘制箱线图,但 x 轴列名称似乎不清晰。
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'])
下面是输出
如何解决此问题以使 x 轴列显示清晰
我想你需要参数 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)
样本:
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)
另一种选择是将方框的方向设为水平。
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)
正在尝试为 pandas 数据框绘制箱线图,但 x 轴列名称似乎不清晰。
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'])
下面是输出
如何解决此问题以使 x 轴列显示清晰
我想你需要参数 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)
样本:
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)
另一种选择是将方框的方向设为水平。
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)