Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
Physics
Chemistry
Biology
Mathematics
English
Economics
Psychology
Social Studies
Fashion Studies
Legal Studies
- Selected Reading
- UPSC IAS Exams Notes
- Developer's Best Practices
- Questions and Answers
- Effective Resume Writing
- HR Interview Questions
- Computer Glossary
- Who is Who
Determine common type following standard coercion rules in Python
To determine common type following standard coercion rules, use the numpy.find_common_type() method in Python numpy. The 1st argument is a list of dtypes or dtype convertible objects representing arrays. The 2nd argument is A list of dtypes or dtype convertible objects representing scalars.
The find_common_type() method returns the common data type, which is the maximum of array_types ignoring scalar_types, unless the maximum of scalar_types is of a different kind (dtype.kind). If the kind is not understood, then None is returned.
Steps
At first, import the required library −
import numpy as np
Using the find_common_type() method in Numpy. Determine common type following standard coercion rules −
print("Result...",np.find_common_type([np.float32], [np.int64, np.float64]))
print("Result...",np.find_common_type([], [np.int64, np.float32, complex]))
print("Result...",np.find_common_type([np.float32], [np.int64, np.float64]))
print("Result...",np.find_common_type([np.float32], [complex]))
print("Result...",np.find_common_type([np.float64], [complex]))
print("Result...",np.find_common_type(['f4', 'i4'], ['c8']))
print("Result...",np.find_common_type([np.int64], [complex]))
print("Result...",np.find_common_type([np.int64], [np.float64]))Example
import numpy as np
# To determine common type following standard coercion rules, use the numpy.find_common_type() method in Python numpy
# The 1st argument is a list of dtypes or dtype convertible objects representing arrays.
# The 2nd argument is A list of dtypes or dtype convertible objects representing scalars.
print("Using the find_common_type() method in Numpy\n")
# Determine common type following standard coercion rules
print("Result...",np.find_common_type([np.float32], [np.int64, np.float64]))
print("Result...",np.find_common_type([], [np.int64, np.float32, complex]))
print("Result...",np.find_common_type([np.float32], [np.int64, np.float64]))
print("Result...",np.find_common_type([np.float32], [complex]))
print("Result...",np.find_common_type([np.float64], [complex]))
print("Result...",np.find_common_type(['f4', 'i4'], ['c8']))
print("Result...",np.find_common_type([np.int64], [complex]))
print("Result...",np.find_common_type([np.int64], [np.float64]))Output
Using the find_common_type() method in Numpy Result... float32 Result... complex128 Result... float32 Result... complex128 Result... complex128 Result... complex128 Result... complex128 Result... float64
Updated on: 24-Feb-2022
120 Views
Advertisements