python - assigning arrays from CSV with pandas module -

python - assigning arrays from CSV with pandas module -

if have file of 100+ columns, how can create each column array, referenced column header, without having header1 = [1,2,3], header2 = ['a','b','c'] , , on..?

here have far, headers list of header names:

import pandas pd info = [] df = pd.read_csv('outtest.csv') in headers: data.append(getattr(df, i).values)

i want each element of array headers variable name of corresponding info array in info (they in order). somehow want 1 line next line can say, example, test = headername1*headername2.

import pandas pd

if headers in csv file, can use:

df = pd.read_csv('outtest.csv')

if headers not nowadays in csv file:

headers = ['list', 'of', 'headers'] df = pd.read_csv('outtest.csv', header=none, names=headers)

assuming headername1 , headername2 constants:

test = df.headername1 * df.headername2

or

test = df['headername1'] * df['headername2']

assuming variable:

test = df[headername1] * df[headername2]

by default form of access returns pd.series, interoperable numpy. can fetch values explicitly using .values:

df[headername1].values

but seem know this.

python python-2.7 csv pandas