I'm trying to use pandas read_excel to work with a file. The file has two columns of headers so I'm trying to use the multiIndex feature apart of the header keyword argument.
import pandas as pd, os
"""data in 2015 MOR Folder"""
filename = 'MOR-JANUARY 2015.xlsx'
print(os.path.isfile(filename))
df1 = pd.read_excel(filename, header=[0,1], sheetname='MOR')
print(df1)
the error I get is ValueError: Length of new names must be 1, got 2. The file is in this google drive folder https://drive.google.com/drive/folders/0B0ynKIVAlSgidFFySWJoeFByMDQ?usp=sharing I'm trying to follow the solution posted here Read excel sheet with multiple header using Pandas
I could be mistaken but I don't think pandas handles parsing excel rows where there are merged cells. So in that first row, the merged cells get parsed as mostly empty cells. You'd need them nicely repeated to act correctly. This is what motivates the ffill
below. If you could control the Excel workbook ahead of time and you might be able to use the code you have.
my solution
It's not pretty, but it'll get it done.
filename = 'MOR-JANUARY 2015.xlsx'
df1 = pd.read_excel(filename, sheetname='MOR', header=None)
vals = df1.values
mux = pd.MultiIndex.from_arrays(df1.ffill(1).values[:2, 1:], names=[None, 'DATE'])
df1 = pd.DataFrame(df1.values[2:, 1:], df1.values[2:, 0], mux)
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With