PYTHON

python - subset specific columns name in a dataframe

columns = ['b', 'c']
df1 = pd.DataFrame(df, columns=columns)

Selecting subset of columns with pandas

import pandas as pd

data = pd.read_excel (r'C:UsersRonDesktopProduct List.xlsx') 
df = pd.DataFrame(data, columns= ['Product'])
print (df)

Selecting subset of columns with pandas

import pandas as pd

data = pd.read_excel (r'C:UsersRonDesktopProduct List.xlsx') 
df = pd.DataFrame(data, columns= ['Product'])
print (df)

Selecting subset of columns with pandas

import pandas as pd

data = pd.read_excel (r'C:UsersRonDesktopProduct List.xlsx') 
df = pd.DataFrame(data, columns= ['Product'])
print (df)

Selecting subset of columns with pandas

import pandas as pd

data = pd.read_excel (r'C:UsersRonDesktopProduct List.xlsx') 
df = pd.DataFrame(data, columns= ['Product'])
print (df)

select 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]

pandas dataframe subset of columns

age_sex = titanic[["Age", "Sex"]]

In [9]: age_sex.head()
Out[9]: 
    Age     Sex
0  22.0    male
1  38.0  female
2  26.0  female
3  35.0  female
4  35.0    male