Calculating max ,mean and min of a column in dataframe-CodePudding

Calculated the mean, max and mean of a column in dataframe as follows:

    g['MAX range'] = g['Current_range'].max()
    g['min range'] = g['Current_range'].min()
    g['mean'] = g['Current_range'].mean()

The output was as follows:

current_speed current_range maxrange minrange mean
10             25             190       25      74
20             40             190       25      74
20             41             190       25      74
80             190            190       25      74

i dont want to get repeated values in max range,min range,mean but only single values in those columns.

Expected output:

current_speed current_range maxrange minrange mean
10             25             190       25      74
20             40             
20             41             
80             190

How can i modify it?

CodePudding user response：

You can add it with .loc. Example for mean:

g.loc[g.index[0], 'mean'] = g['Current_range'].mean()

It will create column mean with mean value in the first row and NaN values for other rows.