.reshape() method rearranges the data in an
ndarray into a new shape. The new shape must be compatible with the old one, though an index of
-1 can be used to infer one dimension.
newshape can be an integer or a
tuple representing the size of the new array. If a dimension is
-1, that dimension will be inferred from the size of the original array.
Unlike the built-in NumPy function
.reshape(), dimensions for this method can also be passed as separate arguments: i.e.
array.reshape(2,3) is the same as
If possible, the
ndarray returned will be a view of the original
The following example creates an
ndarray then uses
.reshape() to change its dimensions.
import numpy as npnd1 = np.array([[1,2,3],[4,5,6]])print(nd1)print(nd1.reshape(3,2))print(nd1.reshape((-1,1)))
This produces the following output:
[[1 2 3][4 5 6]][[1 2][3 4][5 6]][]
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