25192257180

Committed 30 Apr 2026 10:22PM UTC coverage: 99.65% (-0.4%) from 100.0%

Build # 25192257180

Build Type

Pull #603

github

Committed by

web-flow

Commit Message

Merge 017cf7832 into 270e9a549

Pull Request Pull Request #603: issue/591/triaxiality: Build scripts in examples/triaxiality [version:1.18.0]

Coverage Stats

194 of 194 new or added lines in 7 files covered. (100.0%)

9 existing lines in 1 file now uncovered.

2561 of 2570 relevant lines covered (99.65%)

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43.75

/clmm/utils/plotting.py

"""A collection of scripts that can be used to plot the various quantities that CLMM models."""

# Set mpl backend run plots on github actions
import os

import matplotlib as mpl

# pylint: disable=wrong-import-position
if os.environ.get("DISPLAY", "") == "test":
    print("no display found. Using non-interactive Agg backend")
    mpl.use("Agg")
import matplotlib.pyplot as plt


def plot_profiles(
    rbins,
    tangential_component,
    tangential_component_error,
    cross_component,
    cross_component_error,
    r_units=None,
    xscale="linear",
    yscale="linear",
    tangential_component_label="Tangential component",
    cross_component_label="Cross component",
):
    """Plot shear profiles

    Parameters
    ----------
    rbins: array_like
        The centers of the radial bins that was used to compute the shears.
    tangential_component: array_like
        The tangential component at the radii of `rbins`
    tangential_component_error: array_like
        The uncertainty in the tangential component
    cross_component: array_like
        The cross component at the radii of `rbins`
    cross_component_error: array_like
        The uncertainty in the cross component
    r_units: str
        Units of `rbins` for x-axis label
    xscale:
        matplotlib.pyplot.xscale parameter to set x-axis scale (e.g. to logarithmic axis)
    yscale:
        matplotlib.pyplot.yscale parameter to set y-axis scale (e.g. to logarithmic axis)

    Returns
    -------
    fig:
        The matplotlib figure object that has been plotted to.
    axes:
        The matplotlib axes object that has been plotted to.
    """
    # Plot the tangential shears
    fig, axes = plt.subplots()
    axes.errorbar(
        rbins,
        tangential_component,
        yerr=tangential_component_error,
        fmt="bo-",
        label=tangential_component_label,
        lw=0.2,
        markersize=1.5,
        elinewidth=0.5,
        capthick=3,
    )
    # Plot the cross shears
    axes.errorbar(
        rbins,
        cross_component,
        yerr=cross_component_error,
        fmt="ro-",
        label=cross_component_label,
        lw=0.2,
        markersize=1.5,
        elinewidth=0.5,
        capthick=3,
    )
    # format
    axes.set_xscale(xscale)
    axes.set_yscale(yscale)
    axes.legend()
    axes.set_xlabel(f"Radius [{r_units}]")
    axes.set_ylabel(rf"{tangential_component_label} | {cross_component_label}")

    return fig, axes

1	"""A collection of scripts that can be used to plot the various quantities that CLMM models."""
2
3	# Set mpl backend run plots on github actions
4	import os	1✔
5
6	import matplotlib as mpl	1✔
7
8	# pylint: disable=wrong-import-position
9	if os.environ.get("DISPLAY", "") == "test":	1✔
10	print("no display found. Using non-interactive Agg backend")	1✔
11	mpl.use("Agg")	1✔
12	import matplotlib.pyplot as plt	1✔
13
14
15	def plot_profiles(	1✔
16	rbins,
17	tangential_component,
18	tangential_component_error,
19	cross_component,
20	cross_component_error,
21	r_units=None,
22	xscale="linear",
23	yscale="linear",
24	tangential_component_label="Tangential component",
25	cross_component_label="Cross component",
26	):
27	"""Plot shear profiles
28
29	Parameters
30	----------
31	rbins: array_like
32	The centers of the radial bins that was used to compute the shears.
33	tangential_component: array_like
34	The tangential component at the radii of `rbins`
35	tangential_component_error: array_like
36	The uncertainty in the tangential component
37	cross_component: array_like
38	The cross component at the radii of `rbins`
39	cross_component_error: array_like
40	The uncertainty in the cross component
41	r_units: str
42	Units of `rbins` for x-axis label
43	xscale:
44	matplotlib.pyplot.xscale parameter to set x-axis scale (e.g. to logarithmic axis)
45	yscale:
46	matplotlib.pyplot.yscale parameter to set y-axis scale (e.g. to logarithmic axis)
47
48	Returns
49	-------
50	fig:
51	The matplotlib figure object that has been plotted to.
52	axes:
53	The matplotlib axes object that has been plotted to.
54	"""
55	# Plot the tangential shears
UNCOV 56	fig, axes = plt.subplots()	×
UNCOV 57	axes.errorbar(	×
58	rbins,
59	tangential_component,
60	yerr=tangential_component_error,
61	fmt="bo-",
62	label=tangential_component_label,
63	lw=0.2,
64	markersize=1.5,
65	elinewidth=0.5,
66	capthick=3,
67	)
68	# Plot the cross shears
UNCOV 69	axes.errorbar(	×
70	rbins,
71	cross_component,
72	yerr=cross_component_error,
73	fmt="ro-",
74	label=cross_component_label,
75	lw=0.2,
76	markersize=1.5,
77	elinewidth=0.5,
78	capthick=3,
79	)
80	# format
UNCOV 81	axes.set_xscale(xscale)	×
UNCOV 82	axes.set_yscale(yscale)	×
UNCOV 83	axes.legend()	×
UNCOV 84	axes.set_xlabel(f"Radius [{r_units}]")	×
UNCOV 85	axes.set_ylabel(rf"{tangential_component_label} \| {cross_component_label}")	×
86
UNCOV 87	return fig, axes	×

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