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How To Read Pivot Table From Excel Document In Python Pandas?

I have one excel document which contains sport column, in which sports name and sports persons names are available. If I clicked on sports name sports persons names are disappears

Solution 1:

pandas.pivot_table is there to support data analysis and helps you to create pivot tables similar to excel, not to read excel pivot tables.

Create a spreadsheet-style pivot table as a DataFrame. The levels in the pivot table will be stored in MultiIndex objects (hierarchical indexes) on the index and columns of the result DataFrame

Example from Documentation

>>> df
   A   B   C      D
0  foo one small  1
1  foo one large  2
2  foo one large  2
3  foo two small  3
4  foo two small  3
5  bar one large  4
6  bar one small  5
7  bar two small  6
8  bar two large  7


>>> table = pivot_table(df, values='D', index=['A', 'B'],
...                     columns=['C'], aggfunc=np.sum)
>>> table
          small  large
foo  one  1      4
     two  6      NaN
bar  one  5      4
     two  6      7

Now to help you on the problem, I created a sample data set and a pivot table.

Then read the excel sheet into pandas dataframe. This dataframe contains nans to be replaced using df.fillna(method='ffill')

enter image description here

df = pd.read_excel(pviotfile,skiprows=12,header=0)
df=df.fillna(method='ffill')
print (df)

output

       Sports     Name  Address  Age
0  basketball  Abhijit  129 ABC   20
1  basketball   Rajesh  128 ABC   20
2     Cricket   Mahesh  123 ABC   20
3     Cricket   Ramesh  126 ABC   20
4     Cricket   Suresh  124 ABC   20
5    Football   Riyash  125 ABC   20
6    Football    suraj  127 ABC   20

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