当绘制多个条形图时，科学记数法中的Y轴标签

Question

我试图将多个条形图绘制为子图，但y轴一直在获取科学符号值。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') 

在使用这一行ax.ticklabel_格式（usecoffset=False，style='plain'）之后，我得到了如下错误：

enter image description here

请告诉我这个错误

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，请参见matplotlib文档页面on tick formatters和on ^{}

# 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)