Appendix C. NumPy Functions' References

This appendix contains a list of useful NumPy functions and their descriptions.

• numpy.apply_along_axis(func1d, axis, arr, *args): Applies the function func1d along an axis on 1D slices of arr.
• numpy.arange([start,] stop[, step,], dtype=None): Creates a NumPy array with evenly spaced values within a specified range.
• numpy.argsort(a, axis=-1, kind='quicksort', order=None): Returns the indices that would sort the input array.
• numpy.argmax(a, axis=None): Returns the indices of the maximum values along an axis.
• numpy.argmin(a, axis=None): Returns the indices of the minimum values along an axis.
• numpy.argwhere(a): Finds the indices of non-zero elements.
• numpy.array(object, dtype=None, copy=True, order=None, subok=False, ndmin=0): Creates a NumPy array from an array-like sequence, such as a Python list.
• numpy.testing.assert_allclose((actual, desired, rtol=1e-07, atol=0, err_msg='', verbose=True): Raises an error if two objects...