Make a row-wise Conditional Column

Question

I got this dataframe:

Df = pd.DataFrame({'TIPOIDPRESTADOR': ['CC', 'NI', 'CE', 'RS'],
                                'Levels': [0, 1, np.nan, np.nan]
                      })


| TIPOIDPRESTADOR | Levels   |
| --------        | -------- |
| CC              | 0        |
| NI              | 1        |
| CE              | NaN      |
| RS              | NaN      |

and a want to make a loop that given the maximun value of the column ‘Levels’ (in this case 1) if the netx row is nan, then pass the maximun value of the column plus 1 and so on

the desired output should be something like this:

Desired_Output = pd.DataFrame({'TIPOIDPRESTADOR': ['CC', 'NI', 'CE', 'RS'],
                                'Levels': [0, 1, 2, 3]
                      })

| TIPOIDPRESTADOR | Levels   |
| --------        | -------- |
| CC              | 0        |
| NI              | 1        |
| CE              | 2        |
| RS              | 3        |

i was trying to use iterrows like this


for row in Df.iterrows():
    Max_value = float(max(Df[["TIPOIDPRESTADOR"]))
    Df['TIPOIDPRESTADOR'] = np.where(Df["TIPOIDPRESTADOR"].isna()==True, Max_value+1,  Df["TIPOIDPRESTADOR"])
    Max_value = Max_value+1

but i’m getting something like this:

| TIPOIDPRESTADOR | Levels   |
| --------        | -------- |
| CC              | 0        |
| NI              | 1        |
| CE              | 2        |
| RS              | 2        |

i know that it’s a simple task but it’s really struggling me

I would greatly appreciate your help

Asked By: Juan Diego Torres

||

Source

Answer 1

You were performing operations on TIPOIDPRESTADOR column rather than on Levels (assume those were typos, otherwise you wouldn’t have got your result) and when using np.where() in a loop you probably have filled all NaN values in the first iteration and there has become nothing to update afterwards.

Try this:

for i, row in Df.iterrows():
    if pd.isna(row['Levels']) == True:
        Df.loc[i, 'Levels'] = Df['Levels'].max() + 1 
    else:
        pass
Df

Output:

    TIPOIDPRESTADOR Levels
0   CC              0.0
1   NI              1.0
2   CE              2.0
3   RS              3.0

Answered By: Nikita Shabankin

Make a row-wise Conditional Column

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