[934]AttributeError: ‘Series‘ object has no attribute ‘sort‘

文章目录

• • AttributeError: 'Series' object has no attribute 'sort'
  • AttributeError: 'Series' object has no attribute 'reshape'
  • AttributeError:'DataFrame' object has no attribute 'sort'
  • AttributeError: module 'pandas' has no attribute 'rolling_mean'
  • python报错ImportError: [joblib] Attempting to do parallel computing without protecting

AttributeError: ‘Series’ object has no attribute ‘sort’

在对菜品盈利数据 进行帕累托分析时遇到以下问题： 原来是

data.sort(ascending = False)

结果报错

AttributeError: ‘Series’ object has no attribute ‘sort’

后来经查阅

Series.sort_index(ascending=True) 根据索引返回已排序的新对象

换成下面这样就可以了

data.sort_index(ascending = False)

参考：https://blog.csdn.net/welcome_yu/article/details/102492386

AttributeError: ‘Series’ object has no attribute ‘reshape’

当代码运行到下面位置时：

from sklearn.cluster import KMeans  # 引入KMeans

kmodel = KMeans(n_clusters=k, n_jobs=4)  # 建立模型，n_jobs是并行数，一般等于CPU数较好
kmodel.fit(data.reshape((len(data), 1)))  # 训练模型

报错：AttributeError: ‘Series’ object has no attribute ‘reshape’

出错的原因是Series没有reshape这个接口，而Series有values这个接口，

解决的办法是调用values接口，然后调用values中的reshape方法。

如下：

kmodel.fit(data.values.reshape((len(data), 1)))  # 训练模型

参考：https://blog.csdn.net/weixin_38664232/article/details/86760297

AttributeError:‘DataFrame’ object has no attribute ‘sort’

解决办法：将“sort”改为“sort_values”。

如：

c_df_sort=c_df.sort(columns=0,ascending=False)

改为：

c_df_sort=c_df.sort_values(0,ascending=False)

参考：https://blog.csdn.net/qq_34197944/article/details/102879943

AttributeError: module ‘pandas’ has no attribute ‘rolling_mean’

moving_avg = pd.rolling_mean(ts_log,12)

上面代码报错：AttributeError: module ‘pandas’ has no attribute ‘rolling_mean’

解决方法：

moving_avg = ts_log.rolling(12).mean()

参考：https://stackoom.com/question/3Pou4/%E6%A8%A1%E5%9D%97-pandas-%E6%B2%A1%E6%9C%89%E5%B1%9E%E6%80%A7-rolling-mean

python报错ImportError: [joblib] Attempting to do parallel computing without protecting

错误：

ImportError: [joblib] Attempting to do parallel computing without protecting your import on a system that does not support forking. To use parallel-computing in a script, you must protect your main loop using “if __name__ == '__main__'”. Please see the joblib documentation on Parallel for more information

解决方案：

if __name__=='__main__'://加入此行代码即可