numpy.stack # numpy.stack(arrays, axis=0, out=None, *, dtype=None, casting='same_kind') [source] # Join a sequence of arrays along a new axis. The axis parameter specifies the index …

numpy.column_stack # numpy.column_stack(tup) [source] # Stack 1-D arrays as columns into a 2-D array. Take a sequence of 1-D arrays and stack them as columns to make a single 2-D …

numpy.vstack # numpy.vstack(tup, *, dtype=None, casting='same_kind') [source] # Stack arrays in sequence vertically (row wise). This is equivalent to concatenation along the first axis after 1-D …

numpy.hstack # numpy.hstack(tup, *, dtype=None, casting='same_kind') [source] # Stack arrays in sequence horizontally (column wise). This is equivalent to concatenation along the second …

numpy.dstack # numpy.dstack(tup) [source] # Stack arrays in sequence depth wise (along third axis). This is equivalent to concatenation along the third axis after 2-D arrays of shape (M,N) …

numpy.concatenate # numpy.concatenate((a1, a2, ...), axis=0, out=None, dtype=None, casting="same_kind") # Join a sequence of arrays along an existing axis. Parameters: a1, a2, …

Jan 31, 2021 · numpy.stack ¶ numpy.stack(arrays, axis=0, out=None) [source] ¶ Join a sequence of arrays along a new axis. The axis parameter specifies the index of the new axis in the …

numpy.stack # numpy.stack(arrays, axis=0, out=None, *, dtype=None, casting='same_kind') [source] # Join a sequence of arrays along a new axis. The axis parameter specifies the index …

Jun 10, 2017 · numpy.dstack ¶ numpy. dstack (tup) [source] ¶ Stack arrays in sequence depth wise (along third axis). Takes a sequence of arrays and stack them along the third axis to …

numpy.block # numpy.block(arrays) [source] # Assemble an nd-array from nested lists of blocks. Blocks in the innermost lists are concatenated (see concatenate) along the last dimension (-1), …