模块"熊猫"没有属性"fillna"

Question

import numpy as np 
import pandas as pd
class DataProcessing:
def __init__(self, df=None, file=None, duplicates=None, uninformative=None, mhealth_dataset=None):
self.df = df
self.file = file
self.duplicates = duplicates
self.uninformative = uninformative
self.mhealth_dataset = mhealth_dataset
def data(self):
arrays = [np.loadtxt(self.file, dtype=str, delimiter="/t")]
matrices = np.concatenate(arrays)
self.df = np.array(list(matrices)).reshape(len(arrays), 2)
return self.df
def data_cleaning(self):
# Drop and impute missing values
df = pd.fillna(statistics.mean(self.df), inplace=True)
return df
dp = DataProcessing()
dc = dp.data_cleaning()

追溯错误：

Traceback(上次调用(：文件"C： \Users\User\PycharmProjects\algorithms \project_kmeans.py"；，线46，在里面dc＝dp.data_cleaning((文件"C： \Users\User\PycharmProjects\algorithms \project_kmeans.py"；，线26，在数据清理中df＝pd.fillna(statistics.mean(self.df(，inplace＝True(File"；C： \Users\User\PycharmProjects\algoriths\venv\lib\site-packages\pandas_init_.py"，第244行，在getattr中引发AttributeError(f"模块"pandas"没有属性"｛name｝"(AttributeError：模块"pancas"没有特性"fillna">

Answer 1

fillna()是pandas DataFrame或Series上的一个方法，您可能需要更改data_cleaning((实现，如下所示：

def data_cleaning(self):
# Drop and impute missing values
df = statistics.mean(self.df.fillna(...))
return df

并指定用于在数据帧中填充na的值或方法。