Need help on pandas data frames filtering on a csv file

Question

Raw data gets generated daily We need to get success rate for current month on a daily basis & success rate of each cell by end of that month from Jan till current month.

Raw data has following columns:

Column Names    example values
BackupClient    an4lsbk0304.an.ppp.com
BackupDriver    NetBackup
BackupMaster    an4lsbk0300.an.ppp.com
BackupPolicyID  an.72699
BackupPolicyName    ancfsv02a_aggr1_ancfs02n02b_L_an_vlw_atom_001
Cell    an
LastFullResult  Failure
LastFullStartTime   4-10-19 
PolicyType  NFS
Status  Active
LastFullExitCode    96

Each column – “Cell” I need to find following result columns:

Oct Full ran, failed & not completed yet
Oct Full not ran
Oct full ran successful
Grand Total
Success rate for full ran in Oct
Success rate of full backup
Percentage of backup coverage

1. Oct Full ran, failed & not completed yet: Oct full ran, failed & not completed yet means – “LastFullStartTime” – contains current month date and non-empty && “LastFullResult” – Failed && “status code” – greater than 1

2. Oct Full not ran yet:

Oct Full not ran means – “LastFullStartTime” - empty or date older than current month

3. Oct full ran successful – Oct full ran successful means – “LastFullStartTime” – contains current month date && “LastFullResult” – success

4. Grand Total Grand Total means – Count of BackupPolicyID for each distinct cell; should be ideally equal to above 3 columns (1+2+3=4)

5. Success rate for full ran in Oct Success rate for full ran in Oct means – Above column1/(column1+column3) in percentage

6. Success rate of full backup Success rate of full backup means – Above column1/(column1+column2+ column3) in percentage

7. Percentage of backup coverage Percentage of backup coverage means – Above (column1+column3)/column4

code:

import pandas as pd
import os
RD = pd.read_csv("C:/Users/acharbha/Desktop/fullbackup_success/python/raw_Data_success_Rate.csv")
print(RD.info())