Check and Display Row Index with Infinity in Python Pandas

To check and display row index, use the isinf() with any(). 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)

Getting row index with infinity values −

indexNum = dataFrame.index[np.isinf(dataFrame).any(1)]

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

# getting row index with infinity values
indexNum = dataFrame.index[np.isinf(dataFrame).any(1)]
print"\nDisplay row indexes with infinite values...\n ",indexNum

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

Display row indexes with infinite values...
   Int64Index([1, 3, 7], dtype='int64')