To check if the Pandas Index holds Interval objects, use the index.is_interval() method in Pandas.
At first, import the required libraries -
import pandas as pd
Create Interval objects −
interval1 = pd.Interval(10, 30) interval2 = pd.Interval(30, 50)
Display the intervals −
print("Interval1...\n",interval1) print("Interval2...\n",interval2)
Creating Pandas index with Interval object1 and 2 −
index = pd.Index([interval1,interval2])
Check whether index values has only interval objects −
print("\nDoes Index consists of Interval objects?\n", index.is_interval())
Example
Following is the code −
import pandas as pd # create Interval objects interval1 = pd.Interval(10, 30) interval2 = pd.Interval(30, 50) # display the intervals print("Interval1...\n",interval1) print("Interval2...\n",interval2) # Creating Pandas index with Interval object1 and 2 index = pd.Index([interval1,interval2]) # Display the Pandas index print("\nPandas Index...\n",index) # Return the dtype of the data print("\nThe dtype object...\n",index.dtype) # check whether index values has only ints print("\nDoes Index consists of Interval objects?\n", index.is_interval())
Output
This will produce the following output −
Interval1... (10, 30] Interval2... (30, 50] Pandas Index... IntervalIndex([(10, 30], (30, 50]], dtype='interval[int64, right]') The dtype object... interval[int64, right] Does Index consists of Interval objects? True