Check if Pandas DataFrame Contains Infinity

To check, use the isinf() method. To find the count of infinite values, use sum(). 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] }

Creating dataframe from the above dictionary of list

dataFrame = pd.DataFrame(d)

Checking for infinite values using isinf() and displaying the count

count = np.isinf(dataFrame).values.sum()

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] }

# 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...\n ",count

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

Infinity values...
   2