# importing pandas module
import pandas as pd
 
# importing regex module
import re
   
# 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"].gt(other)

# importing pandas module
import pandas as pd
 
# importing numpy module
import numpy as np
 
# creating series 1
series1 = pd.Series([24, 19, 2, 33, 49, 7, np.nan, 10, np.nan])
 
# creating series 2
series2 = pd.Series([16, np.nan, 2, 23, 5, 40, np.nan, 0, 9])
 
# setting null replacement value
na_replace = 5
 
# calling and storing result
result = series1.gt(series2, fill_value = na_replace)
 
# display
result

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