snippet of the dataframe is as follows. but actual dataset is 200000 x 130.

```
ID 1-jan 2-jan 3-jan 4-jan 
1.  4      5    7    8     
2.  2      0    1    9     
3.  5      8    0    1     
4.  3      4    0    0   

```

I am trying to compute Mean Absolute Deviation for each row value like this.

```
ID 1-jan 2-jan 3-jan 4-jan mean
1.    4      5    7    8   12.5 
1_MAD 8.5   7.5 5.5  4.5
2.    2      0    1    9    6  
2_MAD.4      6    5    3
.
. 

```

I tried this,

```
new_df = pd.DataFrame()
for rows in (df['ID']):
    new_df[str(rows) + '_mad'] = mad(df3.loc[row_value][1:])
    new_df.T

```

where `mad` is a function that compares the mean to each value.

But, this is very time consuming since i have a large dataset and i need to do in a quickest way possible.