Select series of columns

# Import pandas package
import pandas as pd
  
# Define a dictionary containing employee data
data = {'Name':['Jai', 'Princi', 'Gaurav', 'Anuj'],
        'Age':[27, 24, 22, 32],
        'Address':['Delhi', 'Kanpur', 'Allahabad', 'Kannauj'],
        'Qualification':['Msc', 'MA', 'MCA', 'Phd']}
  
# Convert the dictionary into DataFrame 
df = pd.DataFrame(data)
  
# Remember that Python does not
# slice inclusive of the ending index.
# select all rows 
# select first two column
df.iloc[:, 0:2]

Source: geeksforgeeks.org

Select series of columns

# Import pandas package
import pandas as pd
  
# Define a dictionary containing employee data
data = {'Name':['Jai', 'Princi', 'Gaurav', 'Anuj'],
        'Age':[27, 24, 22, 32],
        'Address':['Delhi', 'Kanpur', 'Allahabad', 'Kannauj'],
        'Qualification':['Msc', 'MA', 'MCA', 'Phd']}
  
# Convert the dictionary into DataFrame 
df = pd.DataFrame(data)
  
# select all rows 
# and second to fourth column
df[df.columns[1:4]]

Source: geeksforgeeks.org

Select series of columns

# Import pandas package
import pandas as pd
  
# Define a dictionary containing employee data
data = {'Name':['Jai', 'Princi', 'Gaurav', 'Anuj'],
        'Age':[27, 24, 22, 32],
        'Address':['Delhi', 'Kanpur', 'Allahabad', 'Kannauj'],
        'Qualification':['Msc', 'MA', 'MCA', 'Phd']}
  
# Convert the dictionary into DataFrame 
df = pd.DataFrame(data)
  
# select two rows and 
# column "name" to "Address"
# Means total three columns
df.loc[0:1, 'Name':'Address']

Source: geeksforgeeks.org

Select series of columns

# Import pandas package
import pandas as pd
  
# Define a dictionary containing employee data
data = {'Name':['Jai', 'Princi', 'Gaurav', 'Anuj'],
        'Age':[27, 24, 22, 32],
        'Address':['Delhi', 'Kanpur', 'Allahabad', 'Kannauj'],
        'Qualification':['Msc', 'MA', 'MCA', 'Phd']}
  
# Convert the dictionary into DataFrame 
df = pd.DataFrame(data)
  
# iloc[row slicing, column slicing]
df.iloc [0:2, 1:3]

Source: geeksforgeeks.org

Similar codes

15 votes352 views6 answers
Infinity in python
Python
8 votes321 views2 answers
Determinant of matrix in python
Python
16 votes346 views2 answers
Choice random python
Python
1 vote317 views1 answer
Graphics in python in repl
Python
0 vote360 views1 answer
Save dictionary to file numpy
Python
0 vote373 views2 answers
Set operators
Python
9 votes360 views2 answers
Splitting a number into digits python
Python
1 vote344 views2 answers
Python turn off garbage collection
Python
0 vote338 views1 answer
Openpyxl add worksheet
Python
0 vote335 views1 answer
Df = df.apply(lambda x: np.square(x) if x.name in [ 'a', 'e', 'g'] else x, axis=1)
Python