如何修复:类型错误:没有数字数据可绘制
在本文中，我们将修复错误:类型错误:没有要绘制的数字数据
此错误发生的情况:
Python 3
# importing pandas
import pandas as pd
# importing numpy
import numpy as np
import matplotlib.pyplot as plt
petal_length = ['3.3', '3.5', '4.0', '4.5',
'4.6', '5.0', '5.5', '6.0',
'6.5', '7.0']
petal_width = ['3.6', '3.8', '4.4', '6.6',
'6.8', '7.0', '7.5', '8.0',
'8.5', '8.9']
df = pd.DataFrame({'petal_length(cm)': petal_length,
'petal_width(cm)': petal_width})
df.plot(x='petal_length(cm)', y='petal_width(cm)')
plt.show()
输出:
TypeError: no numeric data to plot
错误原因:
当我们绘制的数据类型不同于此错误引发的数字数据时，只能对数字数据进行绘制。要知道数据类型是否是数字，我们可以使用函数 dtypes() 来知道。
print(df.dtypes)
我们用来绘图的数据必须是数字。
修复错误:
可以通过将要绘制的数据转换为数字数据来修复此错误。要将数据转换为数字数据，我们可以使用函数 astype()或 to_numeric()。
方法一:使用 作为 功能
语法:
df['column_name']= df['column_name'].astype(data_type)
其中，df 是输入数据帧
示例:
Python 3
# importing pandas
import pandas as pd
# importing numpy
import numpy as np
# importing matplotlib.pyplot
import matplotlib.pyplot as plt
petal_length = ['3.3', '3.5', '4.0', '4.5',
'4.6', '5.0', '5.5', '6.0',
'6.5', '7.0']
petal_width = ['3.6', '3.8', '4.4', '6.6',
'6.8', '7.0', '7.5', '8.0',
'8.5', '8.9']
df = pd.DataFrame({'petal_length(cm)': petal_length,
'petal_width(cm)': petal_width})
df['petal_length(cm)'] = df['petal_length(cm)'].astype(float)
df['petal_width(cm)'] = df['petal_width(cm)'].astype(float)
df.plot(x='petal_length(cm)', y='petal_width(cm)')
plt.show()
输出:
方法二:使用 至 _numeric() 功能
语法:
df['column_name'] = pd.to_numeric(df['column_name'])
其中 df 是输入数据帧
例:
Python 3
# importing pandas
import pandas as pd
# importing numpy
import numpy as np
# importing matplotlib.pyplot
import matplotlib.pyplot as plt
petal_length = ['3.3', '3.5', '4.0', '4.5',
'4.6', '5.0', '5.5', '6.0',
'6.5', '7.0']
petal_width = ['3.6', '3.8', '4.4', '6.6',
'6.8', '7.0', '7.5', '8.0',
'8.5', '8.9']
df = pd.DataFrame({'petal_length(cm)': petal_length,
'petal_width(cm)': petal_width})
# Using to_numeric() function
df['petal_length(cm)'] = pd.to_numeric(df['petal_length(cm)'])
df['petal_width(cm)'] = pd.to_numeric(df['petal_width(cm)'])
df.plot(x='petal_length(cm)', y='petal_width(cm)')
plt.show()
输出:
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