fill missing values in column pandas with mean
df.fillna(df.mean(), inplace=True)
fill missing values in column pandas with mean
df.fillna(df.mean(), inplace=True)
getting the number of missing values in pandas
cols_to_delete = df.columns[df.isnull().sum()/len(df) > .90]
df.drop(cols_to_delete, axis = 1, inplace = True)
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