How to skip header and footer data in pandas dataframe?

Question

I have first 15 rows of a excel file as \"Header data\". and after 235 rows, \"Footer data\". I need to read data in between these header and footer da

Answer 1

You are interested in data from row 15 to row 235.

You can try this:

import pandas as pd

df = pd.read_excel(somefile.xls)

df = df[15:236] #we have to include row 235

Answer 2

So to summarize. Header location is 15 from the top and Footer location is Y from the bottom. Here's how you import the correct values:

import pandas as pd
df=pd.read_excel("File.xls",header=15,skipfooter=_Y_)

Do ensure that your columnar data isn't being excluded!

Answer 3

You can also do this after loading the file:

df=df[(df.index>15)&(df.index<236)]
df.index-=16

Answer 4

Demo:

xl = pd.ExcelFile(filepath)

# parsing first (index: 0) sheet
total_rows = xl.book.sheet_by_index(0).nrows

skiprows = 15
nrows = 235 - 15

# calc number of footer rows
# (-1) - for the header row
skipfooter = total_rows - nrows - skiprows - 1

df = xl.parse(0, skiprows=skiprows, skipfooter=skipfooter)