Display True for Infinite Values in a Pandas DataFrame

Use the isin() method to display True for infinite values. At first, let us import the required libraries with their respective aliases −

import pandas as pd
import numpy as np

Create a dictionary of list. We have set the infinity values using the Numpy np.inf −

d = { "Reg_Price": [7000.5057, np.inf, 5000, np.inf, 9000.75768, 6000, 900, np.inf] }

Creating DataFrame from the above dictionary of list −

dataFrame = pd.DataFrame(d)

Display True for infinite values −

res = dataFrame.isin([np.inf, -np.inf])

Example

Following is the code −

import pandas as pd
import numpy as np

# dictionary of list
d = { "Reg_Price": [7000.5057, np.inf, 5000, np.inf, 9000.75768, 6000, 900, np.inf] }

# creating dataframe from the above dictionary of list
dataFrame = pd.DataFrame(d)
print"DataFrame...\n",dataFrame

# checking for infinite values and displaying the count
count = np.isinf(dataFrame).values.sum()
print"\nInfinity values count...\n ",count

# Displaying TRUE for infinite values
res = dataFrame.isin([np.inf, -np.inf])
print"\n Updated DataFrame...\n",res

Output

This will produce the following output −

DataFrame...
      Reg_Price
0   7000.505700
1           inf
2   5000.000000
3           inf
4   9000.757680
5   6000.000000
6    900.000000
7           inf

Infinity values count...
   3

Updated DataFrame...
   Reg_Price
0      False
1       True
2      False
3       True
4      False
5      False
6      False
7       True