Need help filling in blanks on a pandas Dataframe

Question

I have a dataframe that contains Names and associated numbers. The issue is that the values don't associate with the Names. Here is an example below:

All the values should be associated with the name that starts before the values start appearing. The result should look something like this:

I am struggling to come up with the logic that would get this done and any help would be appreciated. I can figure out how to remove the blank values on my own shown in the second example.

Thanks!

Answer 1

import pandas as pd
import numpy as np

If your 'Name' column don't contains NaN's(it contains '' or ' ' ) then make use of replace() method(If it contains NaN's then Ignore this step):

df['Name']=df['Name'].replace('',np.nan,regex=True)
df['Name']=df['Name'].replace(' ',np.nan,regex=True)

Just use ffill() method:

df['Name']=df['Name'].ffill()

OR

you can also do this by fillna() method:

df['Name']=df['Name'].fillna(method='ffill')

Now if you print df you will get your desired output