jupyter报错一直报错,显示 NameError: name 'CategoricalDtype' is not defined ,应该咋样改呀
#核密度估计峰峦图
import pandas as pd
import numpy as np
import joypy
import matplotlib.pyplot as plt
from matplotlib import cm
import seaborn as sns
plt.rc('font',family='Times New Roman')
sns.set_context("notebook", font_scale=1.5,
rc={'font.size': 12,
'axes.labelsize': 20, 'legend.fontsize':15,
'xtick.labelsize': 15,'ytick.labelsize': 15})
df = pd.read_csv("lincoln_weather.csv")
Categories=['January', 'February', 'March', 'April', 'May', 'June','July',
'August','September', 'October', 'November','December']
df['Month']=df['Month'].astype(CategoricalDtype(categories=Categories,ordered=True)) #-------报错行
fig, axes = joypy.joyplot(df, column=["Mean.Temperature..F."],
by="Month", ylim='own',colormap=cm.Spectral_r,#color='#FF8B19',
#hist=True,bins=30,
alpha= 0.9,figsize=(6,5))
plt.xlabel("Mean Temperature",{'size': 15 })
plt.ylabel("Month",{'size': 15 })
axes.set_axis_labels("Mean Temperature", "Month")
plt.show()
#fig.savefig('joyplot.pdf')
报错:
NameError Traceback (most recent call last)
d:\temp/ipykernel_45616/100926297.py in <module>
7 Categories=['January', 'February', 'March', 'April', 'May', 'June','July',
8 'August','September', 'October', 'November','December']
----> 9 df['Month']=df['Month'].astype(CategoricalDtype(categories=Categories,ordered=True))
10
11 fig, axes = joypy.joyplot(df, column=["Mean.Temperature..F."],
NameError: name 'CategoricalDtype' is not defined
pd.CategoricalDtype()
NameError: name 'CategoricalDtype' is not defined
名称错误:名称'CategoricalDtype'没有定义
这个CategoricalDtype 没有定义 jupyter无法正确识别 就报错了。
解决方案:定义CategoricalDtype
以上仅供参考,如有任何疑问,可以评论回复,看到即回。
希望对题主有所帮助!可以的话,点个采纳!