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