SHAPE OF ARRAY IN NUMPY

This video is about Shape of array in numpy and
how to create a 2 D array in numpy
Tuple of array dimensions.

The shape property is usually used to get the current shape of an array, but may also be used to reshape the array in-place by assigning a tuple of array dimensions to it. As with numpy.reshape, one of the new shape dimensions can be -1, in which case its value is inferred from the size of the array and the remaining dimensions. Reshaping an array in-place will fail if a copy is required.






Disclaimer
Copyright Disclaimer under Section 107 of the copyright act 1976, allowance is made for fair use for purposes such as criticism, comment, news reporting, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favour of fair use https://www.instagram.com/jagadeeshkumarbalaga

Тэги:

#numpy_in_python #python_for_beginners #scipy_python_tutorial #learn_numpy_in_one_video #basics #linear_algebra #eigenvalues #Vector #matrix #Tensor #jagadeesh_kumar_bala #numerical_python #lists_in_python #python_programming #code #array_method #linear_regression_machine_learning #machine_learning_tutorial #data_science_course #data_science_basics_for_beginners #statistics #covariance_and_correlation #determinants_class_12 #information_practices_class_12 #numpy_tutorial #numpy #python

Скачать видео