I have a flat file which has format something like below,
Country{Year{Working_Days_Month1{Working_Days_Month2...{Working_Days_Month12
IND{2019{111110011111001111100111110011{111110011111001111100111110011....{111110011111001111100111110011
I need to transform the above data to a table or json as below with following columns,
Column 1 - Country
Column 2 - Year
Column 3 - Month{1-12)
Column 4 - Days (1-31)
Column 5 - Working Days of Particular Month ( 1 or 0 based on number of days present in flat file)
You can try to use read_csv
from pandas.
import pandas as pd
df = pd.read_csv("/path/to/file", sep="{")
You can use names
keyword argument in read_csv
to give the column names as well.
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