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@@ -412,7 +412,7 @@ <h1>Source code for dpnp.dpnp_iface_histograms</h1><div class="highlight"><pre> |
412 | 412 | <span class="sd"> -------</span> |
413 | 413 | <span class="sd"> out : dpnp.ndarray of ints</span> |
414 | 414 | <span class="sd"> The result of binning the input array.</span> |
415 | | -<span class="sd"> The length of `out` is equal to ``np.amax(x) + 1``.</span> |
| 415 | +<span class="sd"> The length of `out` is equal to ``dpnp.max(x) + 1``.</span> |
416 | 416 |
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417 | 417 | <span class="sd"> See Also</span> |
418 | 418 | <span class="sd"> --------</span> |
@@ -440,7 +440,7 @@ <h1>Source code for dpnp.dpnp_iface_histograms</h1><div class="highlight"><pre> |
440 | 440 | <span class="sd"> ...</span> |
441 | 441 | <span class="sd"> TypeError: x must be an integer array</span> |
442 | 442 |
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443 | | -<span class="sd"> A possible use of ``bincount`` is to perform sums over</span> |
| 443 | +<span class="sd"> A possible use of :obj:`dpnp.bincount` is to perform sums over</span> |
444 | 444 | <span class="sd"> variable-size chunks of an array, using the `weights` keyword.</span> |
445 | 445 |
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446 | 446 | <span class="sd"> >>> w = np.array([0.3, 0.5, 0.2, 0.7, 1., -0.6], dtype=np.float32) # weights</span> |
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