Question

我试图将多个条形图绘制为子图，但 y 轴不断获得科学记数法值。我运行的初始代码是：

from matplotlib import pyplot as plt
fig, axes = plt.subplots(7,3,figsize = (25, 40)) # axes is a numpy array of pyplot Axes
axes = iter(axes.ravel())  
cat_columns=['Source','Side','State','Timezone',
       'Amenity', 'Bump', 'Crossing', 'Give_Way',
       'Junction', 'No_Exit', 'Railway', 'Roundabout', 'Station', 'Stop',
       'Traffic_Calming', 'Traffic_Signal', 'Turning_Loop', 'Sunrise_Sunset',
       'Civil_Twilight', 'Nautical_Twilight', 'Astronomical_Twilight']
for col in cat_columns: 
    ax = df[col].value_counts().plot(kind='bar',label = col, ax=axes.__next__())

输出如下所示：

enter image description here

fig, axes = plt.subplots(7,3,figsize = (25, 40)) # axes is a numpy array of pyplot Axes
axes = iter(axes.ravel())  
cat_columns=['Source','Side','State','Timezone',
       'Amenity', 'Bump', 'Crossing', 'Give_Way',
       'Junction', 'No_Exit', 'Railway', 'Roundabout', 'Station', 'Stop',
       'Traffic_Calming', 'Traffic_Signal', 'Turning_Loop', 'Sunrise_Sunset',
       'Civil_Twilight', 'Nautical_Twilight', 'Astronomical_Twilight']
for col in cat_columns: 
    ax = df[col].value_counts().plot(kind='bar',label = col, ax=axes.__next__())
    ax.ticklabel_format(useOffset=False, style='plain')

使用此行后 ax.ticklabel_format(useOffset=False, style='plain') 我收到如下错误：

enter image description here

请指导我解决这个错误。

Answer 1

您可以通过创建自定义 ScalarFormatter 对象并关闭科学记数法来关闭此功能。有关更多详细信息，请参阅 matplotlib 文档页面 on tick formatters 和 on ScalarFormatter。

# additional import statement at the top
from matplotlib import pyplot as plt
from matplotlib import ticker

# additional code for every axis
formatter = ticker.ScalarFormatter()
formatter.set_scientific(False)
ax.yaxis.set_major_formatter(formatter)

绘制多个条形图时以科学记数法表示的 Y 轴标签

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