# importing pandas module 
import pandas as pd 
  
# making data frame 
data = pd.read_csv("https://media.geeksforgeeks.org/wp-content/uploads/nba.csv") 
    
# removing null values to avoid errors 
data.dropna(inplace = True) 
  
# other series
other = data["Weight"]/10
  
# calling method and returning to new column
data["Age < Weight"]= data["Age"].lt(other)
  
# display
data

# importing pandas module 
import pandas as pd 
  
# importing numpy module
import numpy as np
  
# creating series 1
series1 = pd.Series([11, 21, 2, 43, 9, 27, np.nan, 110, np.nan])
  
# creating series 2
series2 = pd.Series([16, np.nan, 2, 23, 5, 40, np.nan, 0, 19])
  
# setting null replacement value
na_replace = 10
  
# calling and storing result
result = series1.lt(series2, fill_value = na_replace)
  
# display
result

0     True
1    False
2    False
3    False
4    False
5     True
6    False
7    False
8     True
dtype: bool