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Function visualize

dask/diagnostics/profile_visualize.py:67–136  ·  view source on GitHub ↗

Visualize the results of profiling in a bokeh plot. If multiple profilers are passed in, the plots are stacked vertically. Parameters ---------- profilers : profiler or list Profiler or list of profilers. filename : string, optional Name of the plot output file.

(
    profilers, filename="profile.html", show=True, save=None, mode=None, **kwargs
)

Source from the content-addressed store, hash-verified

65
66
67def visualize(
68 profilers, filename="profile.html", show=True, save=None, mode=None, **kwargs
69):
70 """Visualize the results of profiling in a bokeh plot.
71
72 If multiple profilers are passed in, the plots are stacked vertically.
73
74 Parameters
75 ----------
76 profilers : profiler or list
77 Profiler or list of profilers.
78 filename : string, optional
79 Name of the plot output file.
80 show : boolean, optional
81 If True (default), the plot is opened in a browser.
82 save : boolean, optional
83 If True (default when not in notebook), the plot is saved to disk.
84 mode : str, optional
85 Mode passed to bokeh.output_file()
86 **kwargs
87 Other keyword arguments, passed to bokeh.figure. These will override
88 all defaults set by visualize.
89
90 Returns
91 -------
92 The completed bokeh plot object.
93 """
94 bp = import_required("bokeh.plotting", _BOKEH_MISSING_MSG)
95 from bokeh.io import state
96
97 if "file_path" in kwargs:
98 warnings.warn(
99 "The file_path keyword argument is deprecated "
100 "and will be removed in a future release. "
101 "Please use filename instead.",
102 category=FutureWarning,
103 stacklevel=2,
104 )
105 filename = kwargs.pop("file_path")
106
107 if save is None:
108 save = not state.curstate().notebook
109
110 if not isinstance(profilers, list):
111 profilers = [profilers]
112 figs = [prof._plot(**kwargs) for prof in profilers]
113 # Stack the plots
114 if len(figs) == 1:
115 p = figs[0]
116 else:
117 top = figs[0]
118 for f in figs[1:]:
119 f.x_range = top.x_range
120 f.title = None
121 f.min_border_top = 20
122 f.height -= 30
123 for f in figs[:-1]:
124 f.xaxis.axis_label = None

Callers 4

visualizeMethod · 0.90
visualizeMethod · 0.90
visualizeMethod · 0.90
test_plot_multipleFunction · 0.90

Calls 3

import_requiredFunction · 0.90
popMethod · 0.80
_plotMethod · 0.45

Tested by 1

test_plot_multipleFunction · 0.72

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