Data Structure
Networking
RDBMS
Operating System
Java
MS Excel
iOS
HTML
CSS
Android
Python
C Programming
C++
C#
MongoDB
MySQL
Javascript
PHP
To return a masked array containing the same data, but with a new shape, use the ma.MaskedArray.reshape() method in Numpy. Give a new shape to the array without changing its data. The new shape should be compatible with the original shape. If an integer is supplied, then the result will be a 1-D array of that length.The order determines whether the array data should be viewed as in C (row-major) or FORTRAN (column-major) order. Returns a masked array containing the same data, but with a new shape. The result is a view on the original array; if this is not ... Read More
To return a 1D version of self as a view, use the ma.MaskedArray.ravel() method in Numpy. The order is set using the "order" parameter, to read the elements using the index order. The ‘K’ means to read the elements in the order they occur in memory, except for reversing the data when strides are negative.The elements of a are read using this index order. ‘C’ means to index the elements in C-like order, with the last axis index changing fastest, back to the first axis index changing slowest. ‘F’ means to index the elements in Fortran-like index order, with the ... Read More
To return a 1D version of self as a view, use the ma.MaskedArray.ravel() method in Numpy. The order is set using the "order" parameter, to read the elements using the index order. The ‘F’ means to index the elements in Fortran-like index order.The elements of a are read using this index order. ‘C’ means to index the elements in C-like order, with the last axis index changing fastest, back to the first axis index changing slowest. ‘F’ means to index the elements in Fortran-like index order, with the first index changing fastest, and the last index changing slowest.The ‘C’ and ... Read More
To return a 1D version of self as a view, use the ma.MaskedArray.ravel() method in Numpy. The order is set using the "order" parameter, to read the elements using the index order. The‘C’ means to index the elements in C-like order, with the last axis index changing fastest, back to the first axis index changing slowest.The elements of a are read using this index order. ‘C’ means to index the elements in C-like order, with the last axis index changing fastest, back to the first axis index changing slowest. ‘F’ means to index the elements in Fortran-like index order, with ... Read More
To return a 1D version of self as a view in Python, use the ma.MaskedArray.ravel() method in Numpy.The elements of a are read using this index order. ‘C’ means to index the elements in C-like order, with the last axis index changing fastest, back to the first axis index changing slowest. ‘F’ means to index the elements in Fortran-like index order, with the first index changing fastest, and the last index changing slowest.The ‘C’ and ‘F’ options take no account of the memory layout of the underlying array, and only refer to the order of axis indexing. ‘A’ means to ... Read More
To return a copy of the array collapsed into one dimension, use the ma.MaskedArray.flatten() method in Numpy. The "order" parameter is used to flatter in order. The ‘K’ order means to flatten in the order the elements occur in memory. The order ‘C’ means to flatten in row-major (C-style) order. ‘F’ means to flatten in column-major (Fortran- style) order. ‘A’ means to flatten in column-major order if a is Fortran contiguous in memory, row-major order otherwise. ‘K’ means to flatten a in the order the elements occur in memory. The default is ‘C’.A masked array is the combination of a ... Read More
To return a copy of the array collapsed into one dimension, use the ma.MaskedArray.flatten() method in Numpy. The "order" parameter is used to flatter in order. The ‘F’ order means to flatten in column-major (Fortan-style) order.The order ‘C’ means to flatten in row-major (C-style) order. ‘F’ means to flatten in column-major (Fortran- style) order. ‘A’ means to flatten in column-major order if a is Fortran contiguous in memory, row-major order otherwise. ‘K’ means to flatten a in the order the elements occur in memory. The default is ‘C’.A masked array is the combination of a standard numpy.ndarray and a mask. ... Read More
To return a copy of the array collapsed into one dimension, use the ma.MaskedArray.flatten() method in Numpy. The "order" parameter is used to flatter in order. The ‘C’ order means to flatten in row-major (C-style) order.The order ‘C’ means to flatten in row-major (C-style) order. ‘F’ means to flatten in column-major (Fortran- style) order. ‘A’ means to flatten in column-major order if a is Fortran contiguous in memory, row-major order otherwise. ‘K’ means to flatten a in the order the elements occur in memory. The default is ‘C’.A masked array is the combination of a standard numpy.ndarray and a mask. ... Read More
To return a copy of the array collapsed into one dimension, use the ma.MaskedArray.flatten() method in Numpy.The order ‘C’ means to flatten in row-major (C-style) order. ‘F’ means to flatten in column-major (Fortran- style) order. ‘A’ means to flatten in column-major order if a is Fortran contiguous in memory, row-major order otherwise. ‘K’ means to flatten a in the order the elements occur in memory. The default is ‘C’.A masked array is the combination of a standard numpy.ndarray and a mask. A mask is either nomask, indicating that no value of the associated array is invalid, or an array of ... Read More
To return each element rounded, use the ma.MaskedArray.around() method in Python Numpy. The decimals parameter are the number of decimal places to round to (default: 0). If decimals is negative, it specifies the number of positions to the left of the decimal point.The out parameter is an alternative output array in which to place the result. It must have the same shape as the expected output, but the type of the output values will be cast if necessary. See Output type determination for more details.The around() method returns an array of the same type as a, containing the rounded values. ... Read More