Pandas is the most popular Python library that is used for data analysis. It provides highly optimized performance with back-end source code that is purely written in C or Python.
Here we will see how to generate random integers in the Pandas datagram. We will be using the numpy.random.randint()
method to generate random integers.
Example 1 : Generating random integers in Pandas Single Data frame column.
# importing pandas and numpy libraries import numpy as np import pandas as pd # generating 11 random integers from 5 to 35 data = np.random.randint( 5 , 35 , size = 11 ) df = pd.DataFrame(data, columns = [ 'random_numbers' ]) # displaying random integers in data frame print (df) |
Output :
Example 2 : Sorting a column in Pandas Single Data frame column.
# importing pandas and numpy libraries import numpy as np import pandas as pd # generating 7 random integers from 5 to 35 data = np.random.randint( 5 , 35 , size = 7 ) df = pd.DataFrame(data, columns = [ 'integers' ]) # displaying random integers in data frame print ( "Before Sorting :" ) print (df) # sorting the random integer values # using dataframe.sort_values() # and displaying them df.sort_values( "integers" , axis = 0 , ascending = True , inplace = True , na_position = 'last' ) print ( "After Sorting :" ) print (df) |
Output :
Example 3 : Generating random integers in Pandas Multiple Data frame column.
# importing pandas and numpy libraries import numpy as np import pandas as pd # generating 12X3 i.e 36 random integers from 5 to 40 data = np.random.randint( 5 , 40 , size = ( 12 , 3 )) df = pd.DataFrame(data, columns = [ 'random_no_1' , 'random_no_2' , 'random_no_3' ]) # displaying random integers in the dataframe print (df) |
Output :
Example 4 : Sorting random integers columns in Pandas Multiple Data frame column.
# importing pandas and numpy libraries import numpy as np import pandas as pd # generating 6x2 i.e 12 random integers # from 5 to 40 data = np.random.randint( 5 , 40 , size = ( 6 , 2 )) df = pd.DataFrame(data, columns = [ 'random_col_1' , 'random_col_2' ]) # displaying random integers in data frame print ( "Before Sorting :" ) print (df) # Sorting both Random integer column # First column 1 is sorted # then for every column 1, column 2 is sorted # in ascending order # using dataframe.sort_values() df.sort_values([ 'random_col_1' , 'random_col_2' ], axis = 0 , ascending = [ True , True ], inplace = True ) print ( "After Sorting :" ) print (df) |
Output :
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