How I can write following function in more pandas way:

     def calculate_df_columns_mean(self, df):means = {}for column in df.columns.columns.tolist():cleaned_data = self.remove_outliers(df[column].tolist())means[column] = np.mean(cleaned_data)return means

Thanks for help.

Use dataFrame.apply(func, axis=0):

# axis=0 means apply to columns; axis=1 to rows
df.apply(numpy.sum, axis=0) # equiv to df.sum(0)