How to fill NA values in first row of the column on basis of another column

Question

I have a csv file where in one of the column i need to fill NA values on the basis of data which is available above in same column.For example lets say if lets say column data is like this chrome,NA,NA,Explorer,NA I want it to be chrome,chrome,chrome,Explorer,Explorer and i am able to achieve this but now i have another problem lets say the column data is like this NA,NA,chrome,Explorer,NA I get output as NA,NA,chrome,Explorer,Explorer(here NA in first row Output Section I want to replace by another column data in same row)

In order to fill missing values on the basis of data from same column i used this code-

filling a missing value with previous ones

data["Application Name"].fillna(method ='pad', inplace = True)
data.iloc[:,4].fillna(method ='pad', inplace = True)
data.head()

Here is the Input csv Data-

Sequence Number Action Name Title   Recorder Type   Application Name
1   1   ANT Logger      
2   5       Chrome Recorder 
3   5       Chrome Recorder Chrome
4   5       Chrome Recorder Chrome
5   5       Chrome Recorder Chrome
6   6   xyz Chrome Recorder Chrome
7   7       Chrome Recorder Chrome

In the above example Apllication name in First row is missing and there even we can't use fillna because it is the first row of csv so i want to use title
data to be used in Apllication name column which basically means i want output like this-

Action Name Title   Recorder Type   Application Name
1   ANT Logger      ANT Logger
5       Chrome Recorder ANT Logger
5       Chrome Recorder Chrome
5       Chrome Recorder Chrome
5       Chrome Recorder Chrome
6   xyz Chrome Recorder Chrome
7       Chrome Recorder Chrome

Answer 1

you can use backward and forward fill using rows:

df = df.ffill(axis ='rows').bfill(axis ='rows')