How do I use my first row in my spreadsheet for my Dataframe column names instead of 0 1 2…etc?

Question

I want my dataframe to display the first row names as my dataframe column name instead of numbering from 0 etc. How do I do this?

I tried using pandas and openpyxl modules to turn my Excel spreadsheet into a dataframe.

import pandas as pd
from openpyxl import load_workbook
from openpyxl.utils.dataframe import dataframe_to_rows

wb = load_workbook(filename='Budget1.xlsx')
print(wb.sheetnames)
sheet_ranges=wb['May 2019']
print(sheet_ranges['A3'].value)

ws=wb['May 2019']
df=pd.DataFrame(ws.values)
print(df) # This displays my dataframe.

I expect my column titles of my dataframe to display Date, Description, and Amount instead of 0, 1, 2.

Asked By: Nick

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Source

Answer 1

you can reset the columns to be the first row of your dataframe:

df.columns = df.iloc[0, :]
df.drop(df.index[0], inplace=True)
df

Answered By: Gustavo Gradvohl

Answer 2

After reading data dataframe using pandas you can separate first row then use that as column name:

columnNames = df.iloc[0] 
df = df[1:] 
df.columns = columnNames

Or, you can directly read using pandas that will set first row as column name:

excelDF = pd.ExcelFile('Budget1.xlsx')
df1 = pd.read_excel(excelDF, 'SheetNameThatYouWantTORead')
print(df1.columns)

Answered By: SM Abu Taher Asif

Answer 3

import pandas as pd

data = pd.read_excel("filename.xlsx", sheetname=’xyz’, header=0, skiprows=[0])

header=0 will read first row as header while skiprows will let you skip first row as data

Answered By: Neeraj Yadav

How do I use my first row in my spreadsheet for my Dataframe column names instead of 0 1 2…etc?

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