How to save averages from a dataframe, a new column containing the averages of this dataframe using pandas?

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Good evening, I'm having a problem trying to save average values of a df, in a single column. An example of how I wanted it to be was:

Dataframe

Inthisfirstpart,Ijustopenedmydataframeandtranspiredtogetthemean()valueswiththemean()function.

Maybe it's a bit of a beast doubt, but I'm really not able to put the mean values I got in that mean () function in a new column with those values. Can you do that? Right away, thank you !!

    
asked by anonymous 22.05.2018 / 01:28

1 answer

1

To put the average in the last column, you need to:

  • Transform first row into header

  • Perform the averaging on the vertical axis ( axis=0 )

  • Indicate that you want the calculation (of the mean) only with the numeric values, otherwise the labels (eg 'consumption1') will interfere with the calculation.

    Here's how to insert the 'media' column: 

    # Cria o DataFrame
df = pd.DataFrame({'cliente':[1,2,3],'consumo1':[10,11,45],'consumo2':[12,20,10],'consumo3':[13,45,18]})

# Transpõe
df_transp = df.T

# Saída
df_transp
           0   1   2
cliente    1   2   3
consumo1  10  11  45
consumo2  12  20  10
consumo3  13  45  18

# Seta o nome das colunas para os valores da primeira linha
df_transp.columns = df_transp.iloc[0]

# Define os dados começando a partir da segunda linha
df_transp = df_transp[1:]

# Saída
df_transp
cliente    1   2   3
consumo1  10  11  45
consumo2  12  20  10
consumo3  13  45  18

# AQUI => Cria a coluna 'media' com os valores 
# da média (apenas para valores numéricos) calculados 
# no eixo vertical (axis=0)
df_transp.loc[:,'media'] = df_transp.mean(numeric_only=True, axis=0).values

# Saída
df_transp
cliente    1   2   3      media
consumo1  10  11  45  11.666667
consumo2  12  20  10  25.333333
consumo3  13  45  18  24.333333
        
    • 22.05.2018 / 03:10
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