Pandas class IntervalDtype() in Python

The Pandas class IntervalDtype() used to create an ExtensionDtype for Interval data. It is not an actual numpy dtype rather it is a duck type.

Syntax

 1 class pandas.IntervalDtype(subtype = None, closed = None)

subtype : It can be string or np.dtype of the Interval bounds.

IntervalDtype() object

 1 import pandas as pd
 2 
 3 idtype = pd.IntervalDtype(subtype = 'int64', closed = 'both')
 4 
 5 print('The extension dtype for Interval data :')
 6 print(idtype)

In the above example, an extension dtype is created by passing a subtype and closed. The result is assign to the variable that will be printed on console.

Output

 1 The extension dtype for Interval data :
 2 interval[int64, both]

Example 2 with close neither

 1 import pandas as pd
 2 
 3 idtype = pd.IntervalDtype(subtype = 'int64', closed = 'neither')
 4 
 5 print('The extension dtype for Interval data :')
 6 print(idtype)

In the above example, an extension dtype is created by passing a subtype and closed as neither. The result is assign to the variable that will be print.

Output

 1 The extension dtype for Interval data :
 2 interval[int64, neither]

Example 3 with close left

 1 import pandas as pd
 2 
 3 idtype = pd.IntervalDtype(subtype = 'int64', closed = 'left')
 4 
 5 print('The extension dtype for Interval data :')
 6 print(idtype)

In the above example, an extension dtype is created by passing a subtype and closed as left. The result is assign to the variable that will be print.

Output

 1 The extension dtype for Interval data :
 2 interval[int64, left]

Example 4 with right

 1 import pandas as pd
 2 
 3 idtype = pd.IntervalDtype(subtype = 'int64', closed = 'right')
 4 
 5 print('The extension dtype for Interval data :')
 6 print(idtype)

In the above example, an extension dtype is created by passing a subtype and closed as right. The result is assign to the variable that will be print.

Output

 1 The extension dtype for Interval data :
 2 interval[int64, right]

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