hawc_hal.healpix_handling.gnomonic_projection - Code Metrics - Inspection of "Merge pull request #4 from ColasRi/hawc_response_f..." - giacomov/hawc_hal - Measure and Improve Code Quality continuously with Scrutinizer

Passed

Push — master ( 20ef60...3972dc )

by Giacomo

created 2018-07-12 23:47 UTC

hawc_hal.healpix_handling.gnomonic_projection A

↳ Parent: Project

Complexity

Total Complexity

Size/Duplication

Total Lines	73
Duplicated Lines	0 %

Importance

Changes

Metric	Value
wmc	4
eloc	40
dl	0
loc	73
rs	10
c	0
b	0
f	0

1 Function

Rating	Name	Duplication	Size	Complexity
A	get_gnomonic_projection()	0	67	4

import numpy as np
class SomeClass:
    def some_method(self):
        """Do x and return foo."""
from healpy import projaxes as PA

import matplotlib.pyplot as plt



def get_gnomonic_projection(figure, hpx_map, **kwargs):
    """
    Returns an array containing the Gnomonic projection of the provided Healpix map.

    This is equivalent to hp.gnomview of Healpy BUT the projected array is NOT plotted in the figure, so you can
    plot it later on.

    :param figure: a matplotlib Figure
    :param hpx_map: the healpix map
    :param **kwargs: keywords accepted by hp.gnomview
    :return: the array containing the projection.
    """

    defaults = {'coord': 'C',
                'rot': None,
                'format': '%g',
                'flip': 'astro',
                'xsize': 200,
                'ysize': None,
                'reso': 1.5,
                'nest': False,
                'min': None,
                'max': None,
                'cmap': None,
                'norm': None}

    for key, default_value in defaults.items():

        if key not in kwargs:

            kwargs[key] = default_value

    ## Colas, 2018-07-11: The following fails for really tall figures,
    ## as happens with 2D binning. Top ends up negative, probably matplotlib bug.
    ## So hard code extent instead. Keep the code for now if we want to fix it.
    # left, bottom, right, top = np.array(plt.gca().get_position()).ravel()
    # extent = (left, bottom, right - left, top - bottom)
    # margins = (0.01, 0.0, 0.0, 0.02)
    # extent = (extent[0] + margins[0],
    #           extent[1] + margins[1],
    #           extent[2] - margins[2] - margins[0],
    #           extent[3] - margins[3] - margins[1])
    extent = (0.05, 0.05, 0.9, 0.9)

    ax = PA.HpxGnomonicAxes(figure, extent,

                            coord=kwargs['coord'],
                            rot=kwargs['rot'],
                            format=kwargs['format'],
                            flipconv=kwargs['flip'])

    # Suppress warnings about nans
    with np.warnings.catch_warnings():

        np.warnings.filterwarnings('ignore')

        img = ax.projmap(hpx_map,
                         nest=kwargs['nest'],
                         coord=kwargs['coord'],
                         vmin=kwargs['min'],
                         vmax=kwargs['max'],
                         xsize=kwargs['xsize'],
                         ysize=kwargs['ysize'],
                         reso=kwargs['reso'],
                         cmap=kwargs['cmap'],
                         norm=kwargs['norm'])

    return img


1			import numpy as np
			0 ignored issues – show Coding Style introduced 2018-06-02 00:48 UTC by Report Bug Copy Issue Report This module should have a docstring. The coding style of this project requires that you add a docstring to this code element. Below, you find an example for methods: class SomeClass: def some_method(self): """Do x and return foo.""" If you would like to know more about docstrings, we recommend to read PEP-257: Docstring Conventions. Loading history... introduced 2018-06-02 00:48 UTC by Report Bug Copy Issue Report Unable to import 'numpy' Loading history...
2			from healpy import projaxes as PA
			0 ignored issues – show introduced 2018-06-02 00:48 UTC by Report Bug Copy Issue Report Unable to import 'healpy' Loading history...
3			import matplotlib.pyplot as plt
			0 ignored issues – show introduced 2018-06-02 00:48 UTC by Report Bug Copy Issue Report Unable to import 'matplotlib.pyplot' Loading history... Unused Code introduced 2018-07-12 02:41 UTC by Report Bug Copy Issue Report Unused matplotlib.pyplot imported as plt Loading history...
4
5
6			def get_gnomonic_projection(figure, hpx_map, **kwargs):
7			"""
8			Returns an array containing the Gnomonic projection of the provided Healpix map.
9
10			This is equivalent to hp.gnomview of Healpy BUT the projected array is NOT plotted in the figure, so you can
11			plot it later on.
12
13			:param figure: a matplotlib Figure
14			:param hpx_map: the healpix map
15			:param **kwargs: keywords accepted by hp.gnomview
16			:return: the array containing the projection.
17			"""
18
19			defaults = {'coord': 'C',
20			'rot': None,
21			'format': '%g',
22			'flip': 'astro',
23			'xsize': 200,
24			'ysize': None,
25			'reso': 1.5,
26			'nest': False,
27			'min': None,
28			'max': None,
29			'cmap': None,
30			'norm': None}
31
32			for key, default_value in defaults.items():
33
34			if key not in kwargs:
35
36			kwargs[key] = default_value
37
38			## Colas, 2018-07-11: The following fails for really tall figures,
39			## as happens with 2D binning. Top ends up negative, probably matplotlib bug.
40			## So hard code extent instead. Keep the code for now if we want to fix it.
41			# left, bottom, right, top = np.array(plt.gca().get_position()).ravel()
42			# extent = (left, bottom, right - left, top - bottom)
43			# margins = (0.01, 0.0, 0.0, 0.02)
44			# extent = (extent[0] + margins[0],
45			# extent[1] + margins[1],
46			# extent[2] - margins[2] - margins[0],
47			# extent[3] - margins[3] - margins[1])
48			extent = (0.05, 0.05, 0.9, 0.9)
49
50			ax = PA.HpxGnomonicAxes(figure, extent,
			0 ignored issues – show Coding Style Naming introduced 2018-07-11 05:54 UTC by Report Bug Copy Issue Report Variable name "ax" doesn't conform to snake_case naming style ('(([a-z_][a-z0-9_]2,30)\|(_[a-z0-9_]*)\|(__[a-z][a-z0-9_]+__))$' pattern) This check looks for invalid names for a range of different identifiers. You can set regular expressions to which the identifiers must conform if the defaults do not match your requirements. If your project includes a Pylint configuration file, the settings contained in that file take precedence. To find out more about Pylint, please refer to their site. Loading history...
51			coord=kwargs['coord'],
52			rot=kwargs['rot'],
53			format=kwargs['format'],
54			flipconv=kwargs['flip'])
55
56			# Suppress warnings about nans
57			with np.warnings.catch_warnings():
58
59			np.warnings.filterwarnings('ignore')
60
61			img = ax.projmap(hpx_map,
62			nest=kwargs['nest'],
63			coord=kwargs['coord'],
64			vmin=kwargs['min'],
65			vmax=kwargs['max'],
66			xsize=kwargs['xsize'],
67			ysize=kwargs['ysize'],
68			reso=kwargs['reso'],
69			cmap=kwargs['cmap'],
70			norm=kwargs['norm'])
71
72			return img
73

giacomov / hawc_hal

Push — master ( 20ef60...3972dc )

hawc_hal.healpix_handling.gnomonic_projection A

Complexity

Size/Duplication

Importance

1 Function

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