I need to copy data as a forward fill from Jan 2023 to Feb 2023 and March 2023 for SKU1, Location1 since data submissions are missing. For this: 1. need to create a continuous months for each sku, location combination 2. ffill for NA
expected result is shown in below image, the blue highlights are carried forward ensuring there is continuous monthly data
Thanks in Advance!
please refer to the below input data frame,
import pandas as pd# Sample datadata = {'submissionmonth': ['1/1/2023', '1/1/2023', '1/1/2023', '1/1/2023', '1/1/2023', '1/1/2023', '4/1/2023', '4/1/2023', '4/1/2023', '4/1/2023', '4/1/2023', '4/1/2023', '4/1/2023', '4/1/2023', '4/1/2023', '4/1/2023', '4/1/2023', '4/1/2023', '10/1/2023', '10/1/2023', '10/1/2023', '10/1/2023', '10/1/2023', '10/1/2023', '10/1/2023', '10/1/2023'],'sku': ['SKU1', 'SKU1', 'SKU1', 'SKU1', 'SKU1', 'SKU1', 'SKU1', 'SKU1', 'SKU1', 'SKU1', 'SKU1', 'SKU1', 'SKU2', 'SKU2', 'SKU2', 'SKU2', 'SKU2', 'SKU2', 'SKU2', 'SKU2', 'SKU2', 'SKU2', 'SKU2', 'SKU2', 'SKU2', 'SKU2'],'location': ['Location1', 'Location1', 'Location1', 'Location1', 'Location1', 'Location1', 'Location1', 'Location1', 'Location1', 'Location1', 'Location1', 'Location1', 'Location2', 'Location2', 'Location2', 'Location2', 'Location2', 'Location2', 'Location2', 'Location2', 'Location2', 'Location2', 'Location2', 'Location2', 'Location2', 'Location2'],'forecastmonth': ['1/1/2023', '2/1/2023', '3/1/2023', '4/1/2023', '5/1/2023', '6/1/2023', '4/1/2023', '5/1/2023', '6/1/2023', '7/1/2023', '8/1/2023', '9/1/2023', '4/1/2023', '5/1/2023', '6/1/2023', '7/1/2023', '8/1/2023', '9/1/2023', '11/1/2023', '12/1/2023', '1/1/2024', '2/1/2024', '3/1/2024', '4/1/2024', '4/1/2024', '4/1/2024'],'cost': [100, 100, 100, 100, 100, 100, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200, 200]}# Create DataFramedf = pd.DataFrame(data)# Convert to datetimedf['submissionmonth'] = pd.to_datetime(df['submissionmonth'], format='%m/%d/%Y')df['forecastmonth'] = pd.to_datetime(df['forecastmonth'], format='%m/%d/%Y')print(df.shape)print(df)i tried grouping and ffill, resulted in shape error