pandas,read_excel, usecols with list input generating an empty dataframe

Question

Actually i want to read only a specific column from excel into python dataframe my code is

import pandas as pd
file = pd.read_excel("3_Plants sorted on PLF age cost.xlsx",sheet_name="Age>25",index_col="Developer",usecols="Name of Project")

but i am getting an empty dataframe as output, however when i use

import pandas as pd
file = pd.read_excel("3_Plants sorted on PLF age cost.xlsx",sheet_name="Age>25",index_col="Developer",usecols=2)

I get the desired result,

As i have to do it for many files using a loop and location of the columns keeps on changing so i have to go by its name and not location.

Further i cant load full file in dataframe and use df["column_name"] as size of my excel file is too large (150 MB) and this will make my process very slow and sometime gives memory error.

Thanks in advance.

Answer 1

As mentioned by Tomas Farias, usecols doesn't take cell values. A possible approach is to read few rows and find the location of the column and then read the file second time.

import pandas as pd
col = pd.read_excel("3_Plants sorted on PLF age cost.xlsx",sheet_name="Age>25", nrows=2).columns
k=col.get_loc('Name of Project')+1
file = pd.read_excel("3_Plants sorted on PLF age cost.xlsx", sheet_name="Age>25", index_col="Developer", usecols=k)

Answer 2

您可以将 .xlsx 文件保存/转换为 .csv，然后使用： pd.read_csv('filename.csv', usecols=[])