Pandas read_csv 错误地命名列

Question

I am trying to import a Leukemia gene expression data set found at https://www.kaggle.com/brunogrisci/leukemia-gene-expression-cumida . This data set has a lot of columns (22285) and the columns imported towards the end have an incorrect name. For example the last column named AFFX-r2-P1-cre-3_at is actually called 217005_at in the csv file. The image below shows my juypter notebook cells. I am not sure why it is being formatted this way? Any help would be greatly appreciated.

Answer 1

Evidently the CSV file has column names that start with 'AFFX-r2-P1' -- it's not a pandas issue. Using the built-in csv package shows:

import csv
from pathlib import Path

data_file = Path('../../../Downloads/Leukemia_GSE9476.csv')

with open(data_file, 'rt') as lines:
    csv_file = csv.reader(lines)
    fields = next(csv_file)
#
[
    (field_number, field)
    for field_number, field in enumerate(fields)
    if field.startswith('AFFX-r2-P1')
]

The output is:

[(22277, 'AFFX-r2-P1-cre-3_at'), (22278, 'AFFX-r2-P1-cre-5_at')]