How to unmerge multiple cells and transpose each value into a new column in Pandas dataframe from excel file

0 votes

It contains four to five merged blank cells. They must be formatted so that a column is formed for each merged cell.

Please find the link for the Sample file and also the output required below

Link: https://docs.google.com/spreadsheets/d/1fkG9YT9YGg9eXYz6yTkl7AMeuXwmNYQ44oXgA8ByMPk/edit?usp=sharing

Code so far:

dfs = pd.read_excel('/Users/john/Desktop/Internal/Raw Files/Med/TVS/sample.xlsx',sheet_name=None, header=[0,4], index_col=[0,1])

df_2 = (pd.concat([df.stack(0).assign(name=n) for n,df in dfs.items()])
          .rename_axis(index=['Date','WK','Brand','A_B','Foo_Foos','Cur','Units'], columns=None)
          .reset_index())

How do I create multiple columns in the above code? Right now i'm getting the below error:

ValueError: Length of names must match number of levels in MultiIndex.
Jan 8 in Others by Kithuzzz
• 28,700 points
108 views

1 answer to this question.

0 votes

Try this:

df = pd.read_excel("Sample_File.xlsx", header=[0,1,2,3,4,5], index_col = [0,1])
df.stack(level=[0,1,2,3,4])
answered Jan 8 by narikkadan
• 53,160 points

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