#copia de todo el dataset df_cleaned= df_categorized.copy() #sacamos filas con valores NaN para edad df_cleaned["Age"]=df_categorized.dropna(axis=1) -------------------------------------------------------------error--------------------------------------------------------------- ValueError Traceback (most recent call last) in () 3 #sacamos filas con valores NaN para edad 4 #df_cleaned=df_categorized.fillna(df_categorized.mean()) ----> 5 df_cleaned["Age"]=df_categorized.dropna(axis=1)

1 frames /usr/local/lib/python3.7/dist-packages/pandas/core/frame.py in _set_item_frame_value(self, key, value) 3727 len_cols = 1 if is_scalar(cols) else len(cols) 3728 if len_cols != len(value.columns): -> 3729 raise ValueError("Columns must be same length as key") 3730 3731 # align right-hand-side columns if self.columns

ValueError: Columns must be same length as key

#copia de todo el dataset df_cleaned= df_categorized.copy() #sacamos filas con valores NaN para edad df_cleaned["Age"]=df_categorized.dropna(axis=1) -------------------------------------------------------------error--------------------------------------------------------------- ValueError Traceback (most recent call last) in () 3 #sacamos filas con valores NaN para edad 4 #df_cleaned=df_categorized.fillna(df_categorized.mean()) ----> 5 df_cleaned["Age"]=df_categorized.dropna(axis=1)

1 frames /usr/local/lib/python3.7/dist-packages/pandas/core/frame.py in _set_item_frame_value(self, key, value) 3727 len_cols = 1 if is_scalar(cols) else len(cols) 3728 if len_cols != len(value.columns): -> 3729 raise ValueError("Columns must be same length as key") 3730 3731 # align right-hand-side columns if self.columns

ValueError: Columns must be same length as key

#copia de todo el dataset df_cleaned= df_categorized.copy() #sacamos filas con valores NaN para edad df_cleaned["Age"]=df_categorized.dropna(axis=1) -------------------------------------------------------------error--------------------------------------------------------------- ValueError Traceback (most recent call last) in () 3 #sacamos filas con valores NaN para edad 4 #df_cleaned=df_categorized.fillna(df_categorized.mean()) ----> 5 df_cleaned["Age"]=df_categorized.dropna(axis=1)

1 frames /usr/local/lib/python3.7/dist-packages/pandas/core/frame.py in _set_item_frame_value(self, key, value) 3727 len_cols = 1 if is_scalar(cols) else len(cols) 3728 if len_cols != len(value.columns): -> 3729 raise ValueError("Columns must be same length as key") 3730 3731 # align right-hand-side columns if self.columns

ValueError: Columns must be same length as key