从 pandas.dataframe 中提取特定列

Question

I'm trying to use python to read my csv file extract specific columns to a pandas.dataframe and show that dataframe. However, I don't see the data frame, I receive Series([], dtype: object) as an output. Below is the code that I'm working with: My document consists of: product sub_product issue sub_issue consumer_complaint_narrative
company_public_response company state zipcode tags
consumer_consent_provided submitted_via date_sent_to_company
company_response_to_consumer timely_response consumer_disputed?
complaint_id

I want to extract : sub_product issue sub_issue consumer_complaint_narrative

import pandas as pd

df=pd.read_csv("C:\\....\\consumer_complaints.csv")
df=df.stack(level=0)
df2 = df.filter(regex='[B-F]')
df[df2]

Answer 1

import pandas as pd

input_file = "C:\\....\\consumer_complaints.csv"
dataset = pd.read_csv(input_file)
df = pd.DataFrame(dataset)
cols = [1,2,3,4]
df = df[df.columns[cols]]

Here specify your column numbers which you want to select. In dataframe, column start from index = 0

cols = []

You can select column by name wise also. Just use following line

df = df[["Column Name","Column Name2"]]

Answer 2

A simple way to achieve this would be as follows:

df = pd.read_csv("C:\\....\\consumer_complaints.csv")
df2 = df.loc[:,'B':'F']

Hope that helps.

Answer 3

This worked for me , using slicing:

df=pd.read_csv

df1=df[n1:n2]

Where $n1<n2# are both columns in the range, eg: if you want columns 3-5, use:

df1=df[3:5]

For the first column , use df1=df[0]

Though not sure how to select a discontinuous range of columns.