diff --git a/src/sage/misc/persist.pyx b/src/sage/misc/persist.pyx index 3ac5f1cc2b0..cb1f327c199 100644 --- a/src/sage/misc/persist.pyx +++ b/src/sage/misc/persist.pyx @@ -157,7 +157,7 @@ def load(*filename, compress=True, verbose=True, **kwargs): ....: _ = f.write(code) sage: load(t) sage: hello - + """ import sage.repl.load if len(filename) != 1: diff --git a/src/sage/plot/complex_plot.pyx b/src/sage/plot/complex_plot.pyx index 6f0aeab87ae..b77c69b2f77 100644 --- a/src/sage/plot/complex_plot.pyx +++ b/src/sage/plot/complex_plot.pyx @@ -461,6 +461,8 @@ def complex_to_rgb(z_values, contoured=False, tiled=False, rgb[i, j, 2] = b sig_off() + nan_indices = np.isnan(rgb).any(-1) # Mask for undefined points + rgb[nan_indices] = 1 # Make nan_indices white return rgb diff --git a/src/sage/plot/histogram.py b/src/sage/plot/histogram.py index 3bc2b76b58e..388c2d1391d 100644 --- a/src/sage/plot/histogram.py +++ b/src/sage/plot/histogram.py @@ -87,13 +87,8 @@ class Histogram(GraphicPrimitive): TESTS:: - sage: h = histogram([10,3,5], normed=True)[0] - doctest:warning...: - DeprecationWarning: the 'normed' option is deprecated. Use 'density' instead. - See https://trac.sagemath.org/25260 for details. + sage: h = histogram([10,3,5], density=True)[0] sage: h.get_minmax_data() - doctest:warning ... - ...VisibleDeprecationWarning: Passing `normed=True` on non-uniform bins has always been broken, and computes neither the probability density function nor the probability mass function. The result is only correct if the bins are uniform, when density=True will produce the same result anyway. The argument will be removed in a future version of numpy. {'xmax': 10.0, 'xmin': 3.0, 'ymax': 0.476190476190..., 'ymin': 0} """ import numpy diff --git a/src/sage/repl/ipython_extension.py b/src/sage/repl/ipython_extension.py index 798671aab42..cad6a47ca8b 100644 --- a/src/sage/repl/ipython_extension.py +++ b/src/sage/repl/ipython_extension.py @@ -405,7 +405,7 @@ class SageMagics(Magics): ....: C END FILE FIB1.F ....: ''') sage: fib - + sage: from numpy import array sage: a = array(range(10), dtype=float) sage: fib(a, 10)