select DF columns python
df = df.iloc[:,0:2]
df = df[['column1', 'column2']]select DF columns python
df = df.iloc[:,0:2]
df = df[['column1', 'column2']]how to pick out separate columns from the pandas dataframe object
df1 = df.iloc[:, 0:2] # If you want to do it by index. Remember that Python does not slice inclusive of the ending index.
df1 = df[['a', 'b']] ## if you want to do it b naepython select columns names from dataframe
# Import pandas package
import pandas as pd
# making data frame
data = pd.read_csv("nba.csv")
# iterating the columns
for col in data.columns:
print(col)select specific column names from dataframe
import pandas
data = pandas.DataFrame({'A' : ['X', 'Y'],
'B' : 1,
'C' : [2, 3]})
print data[['A', 'B']]
# Output A B
# 0 X 1
# 1 Y 1select subset of columns from dataframe
In [25]: titanic.iloc[9:25, 2:5]
Out[25]:
Pclass Name Sex
9 2 Nasser, Mrs. Nicholas (Adele Achem) female
10 3 Sandstrom, Miss. Marguerite Rut female
11 1 Bonnell, Miss. Elizabeth female
12 3 Saundercock, Mr. William Henry male
13 3 Andersson, Mr. Anders Johan male
.. ... ... ...
20 2 Fynney, Mr. Joseph J male
21 2 Beesley, Mr. Lawrence male
22 3 McGowan, Miss. Anna "Annie" female
23 1 Sloper, Mr. William Thompson male
24 3 Palsson, Miss. Torborg Danira female
[16 rows x 3 columns]Copyright © 2021 Codeinu
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