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A problem with Pandas dataframe (Need help urgently)

asked 2020-06-17 11:28:08 +0100

Cyrille gravatar image

I have a huge Excel data basis. I want to use Pandas to read and manipulate it

This works

import pandas as pd
xlsx = pd.ExcelFile(r'c:\vinsdeloire\Chinonrougegpsga1.xlsx')
cr1=pd.read_excel(xlsx,sheet_name='Données indiv campagne')# sheet_name= est facultatif
cr2=pd.read_excel(xlsx,sheet_name='Données indiv année civile')
cr3=pd.read_excel(xlsx,sheet_name='pilotage GPS')

I can have the head simply


The the column names

for idx,column in enumerate(cr1.columns):

I can use the name of one column

cr1['Rotation stock en nb de mois campagne 2019-2020']

But what I do not understand is that until now a command like this one doesn't work


given this error

Location based indexing can only have [integer, integer slice (START point is INCLUDED, END point is EXCLUDED), listlike of integers, boolean array] types

I make certainly a mistake and I cannot give more than my code but I do not see my error. And unfrotunately its very urgent. I will remove this later.

Thanks by advance

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Could you please make the file Chinonrougegpsga1.xlsx accessible somewhere ?

tmonteil gravatar imagetmonteil ( 2020-06-17 11:55:02 +0100 )edit

Do you mean something like cr.iloc[9:29]? Read the doc :

FrédéricC gravatar imageFrédéricC ( 2020-06-17 13:04:25 +0100 )edit

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answered 2020-06-17 22:35:29 +0100

Sébastien gravatar image

updated 2020-06-17 22:36:28 +0100

I think it is because pandas does not like Sage integers, instead use raw integers which prevent them to be preparsed and turned into Sage integers:


Similar problem exists (or existed) with other python libraries as numpy, sympy, PIL, etc. The bug was fixed for some, but not with pandas.

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Asked: 2020-06-17 11:28:08 +0100

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Last updated: Jun 17 '20