How to remove Initial rows in a dataframe in python - python-3.x

Question

I have 4 dataframes with weekly sales values for a year for 4 products. Some of the initial rows are 0 as no sales. there are some other 0 values as well in between the weeks.
I want to remove those initial 0 values, keeping the in between 0s.
For example
Week Sales(prod 1)
1 0
2 0
3 100
4 120
5 55
6 0
7 60.
Week Sales(prod 2)
1 0
2 0
3 0
4 120
5 0
6 30
7 60.
I want to remove row 1,2 from 1st table and 1,2,3 frm 2nd.

Answer 1

Few Assumption based on your example dataframe:
DataFrame is created using pandas
week always start with 1
will remove all the starting weeks only which are having 0 sales
Solution:
Python libraries Required
- pandas, more_itertools
Example DataFrame (df):
Week Sales
1 0
2 0
3 0
4 120
5 0
6 30
7 60
Python Code:
import pandas as pd
import more_itertools as mit
filter_col = 'Sales'
filter_val = 0
##function which returns the index to be removed
def return_initial_week_index_with_zero_sales(df,filter_col,filter_val):
index_wzs = [False]
if df[filter_col].iloc[1]==filter_val:
index_list = df[df[filter_col]==filter_val].index.tolist()
index_wzs = [list(group) for group in mit.consecutive_groups(index_list)]
else:
pass
return index_wzs[0]
##calling above function and removing index from the dataframe
df = df.set_index('Week')
weeks_to_be_removed = return_initial_week_index_with_zero_sales(df,filter_col,filter_val)
if weeks_to_be_removed:
print('Initial weeks with 0 sales are {}'.format(weeks_to_be_removed))
df = df.drop(index=weeks_to_be_removed)
else:
print('No initial week has 0 sales')
df.reset_index(inplace=True)
Result:df
Week Sales
4 120
5 55
6 0
7 60
I hope it helps, you can modify the function as per your requirement.