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Start your free trialMark Chesney
11,747 Pointsparameter specification for np.repeat()
Why does this code work?
import numpy as np
threes = np.repeat(3, 3)
But these all throw the same error?
threes = np.repeat(3, 3, dtype=np.uint8) # OK I expected this to fail
threes = np.repeat([3, 3], dtype=np.uint8)
threes = np.repeat((3, 3), dtype=np.uint8)
I ran ?threes
and still didn't figure it out.
Thanks!
1 Answer
Chris Freeman
Treehouse Moderator 68,454 PointsThe method np.repeat
does not take dtype
as an argument. From help(np.repeat)
:
repeat(a, repeats, axis=None)
Repeat elements of an array.
Parameters
----------
a : array_like
Input array.
repeats : int or array of ints
The number of repetitions for each element. `repeats` is broadcasted
to fit the shape of the given axis.
axis : int, optional
The axis along which to repeat values. By default, use the
flattened input array, and return a flat output array.
Returns
-------
repeated_array : ndarray
Output array which has the same shape as `a`, except along
the given axis.
So, your first 3 is being treated as an array-like object. Instead, insert the array type you wish:
>>> import numpy as np
>>> np.repeat(3, 3)
array([3, 3, 3])
>>> np.repeat([3], 3)
array([3, 3, 3])
>>> x = np.array(3, dtype=np.uint8)
>>> np.repeat(x, 3)
array([3, 3, 3], dtype=uint8)
Post back if you need more help. Good luck!!
Mark Chesney
11,747 PointsMark Chesney
11,747 PointsThank you so much Chris! Yes, in hindsight, the CLI returns this error:
I wonder how I'd missed that. My advice to everyone is to try to get plenty of sleep before coding :)