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Original file line number | Diff line number | Diff line change |
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""" | ||
grd2cpt - Create a CPT from a grid file. | ||
""" | ||
|
||
from pygmt.clib import Session | ||
from pygmt.exceptions import GMTInvalidInput | ||
from pygmt.helpers import ( | ||
build_arg_string, | ||
data_kind, | ||
dummy_context, | ||
fmt_docstring, | ||
kwargs_to_strings, | ||
use_alias, | ||
) | ||
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||
|
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@fmt_docstring | ||
@use_alias( | ||
A="transparency", | ||
C="cmap", | ||
D="background", | ||
F="color_model", | ||
E="nlevels", | ||
G="truncate", | ||
H="output", | ||
I="reverse", | ||
L="limit", | ||
M="overrule_bg", | ||
N="no_bg", | ||
Q="log", | ||
R="region", | ||
T="series", | ||
V="verbose", | ||
W="categorical", | ||
Ww="cyclic", | ||
Z="continuous", | ||
) | ||
@kwargs_to_strings(G="sequence", L="sequence", R="sequence", T="sequence") | ||
def grd2cpt(grid, **kwargs): | ||
r""" | ||
Make GMT color palette tables from a grid file. | ||
|
||
This is a module that will help you make static color palette tables | ||
(CPTs). By default, the CPT will simply be saved to the current session, | ||
but you can use ``output`` to save it to a file. The CPT is based on an | ||
existing dynamic master CPT of your choice, and the mapping from data value | ||
to colors is through the data's cumulative distribution function (CDF), so | ||
that the colors are histogram equalized. Thus if the grid(s) and the | ||
resulting CPT are used in :meth:`pygmt.Figure.grdimage` with a linear | ||
projection, the colors will be uniformly distributed in area on the plot. | ||
Let z be the data values in the grid. Define CDF(Z) = (# of z < Z) / (# of | ||
z in grid). (NaNs are ignored). These z-values are then normalized to the | ||
master CPT and colors are sampled at the desired intervals. | ||
|
||
The CPT includes three additional colors beyond the range of z-values. | ||
These are the background color (B) assigned to values lower than the lowest | ||
*z*-value, the foreground color (F) assigned to values higher than the | ||
highest *z*-value, and the NaN color (N) painted wherever values are | ||
undefined. For color tables beyond the standard GMT offerings, visit | ||
`cpt-city <http://soliton.vm.bytemark.co.uk/pub/cpt-city/>`_ and | ||
`Scientific Colour-Maps <http://www.fabiocrameri.ch/colourmaps.php>`_. | ||
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||
If the master CPT includes B, F, and N entries, these will be copied into | ||
the new master file. If not, the parameters :gmt-term:`COLOR_BACKGROUND`, | ||
:gmt-term:`COLOR_FOREGROUND`, and :gmt-term:`COLOR_NAN` from the | ||
:gmt-docs:`gmt.conf <gmt.conf>` file or the command line will be used. This | ||
default behavior can be overruled using the options ``background``, | ||
``overrule_bg`` or ``no_bg``. | ||
|
||
The color model (RGB, HSV or CMYK) of the palette created by | ||
:meth:`pygmt.grd2cpt` will be the same as specified in the header of the | ||
master CPT. When there is no :gmt-term:`COLOR_MODEL` entry in the master | ||
CPT, the :gmt-term:`COLOR_MODEL` specified in the | ||
:gmt-docs:`gmt.conf <gmt.conf>` file or the ``color_model`` option will be | ||
used. | ||
|
||
Full option list at :gmt-docs:`grd2cpt.html` | ||
|
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{aliases} | ||
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Parameters | ||
---------- | ||
grid : str or xarray.DataArray | ||
The file name of the input grid or the grid loaded as a DataArray. | ||
transparency : int or float or str | ||
Sets a constant level of transparency (0-100) for all color slices. | ||
Append **+a** to also affect the fore-, back-, and nan-colors | ||
[Default is no transparency, i.e., 0 (opaque)]. | ||
cmap : str | ||
Selects the master color palette table (CPT) to use in the | ||
interpolation. Full list of built-in color palette tables can be found | ||
at :gmt-docs:`cookbook/cpts.html#built-in-color-palette-tables-cpt`. | ||
background : bool or str | ||
Select the back- and foreground colors to match the colors for lowest | ||
and highest *z*-values in the output CPT [Default (``background=True`` | ||
or ``background='o'``) uses the colors specified in the master file, or | ||
those defined by the parameters :gmt-term:`COLOR_BACKGROUND`, | ||
:gmt-term:`COLOR_FOREGROUND`, and :gmt-term:`COLOR_NAN`]. Use | ||
``background='i'`` to match the colors for the lowest and highest | ||
values in the input (instead of the output) CPT. | ||
color_model : | ||
[**R**\|\ **r**\|\ **h**\|\ **c**][**+c**\ [*label*]]. | ||
Force output CPT to be written with r/g/b codes, gray-scale values or | ||
color name (**R**, default) or r/g/b codes only (**r**), or h-s-v codes | ||
(**h**), or c/m/y/k codes (**c**). Optionally or alternatively, append | ||
**+c** to write discrete palettes in categorical format. If *label* is | ||
appended then we create labels for each category to be used when the | ||
CPT is plotted. The *label* may be a comma-separated list of category | ||
names (you can skip a category by not giving a name), or give | ||
*start*\[-], where we automatically build monotonically increasing | ||
labels from *start* (a single letter or an integer). Append ``-`` to | ||
build ranges *start*-*start+1* instead. | ||
nlevels : bool or int or str | ||
Set to ``True`` to create a linear color table by using the grid | ||
z-range as the new limits in the CPT. Alternatively, set *nlevels* | ||
to resample the color table into *nlevels* equidistant slices. | ||
series : list or str | ||
[*min/max/inc*\ [**+b**\|\ **l**\|\ **n**\]|\ *file*\|\ *list*\]. | ||
Defines the range of the new CPT by giving the lowest and highest | ||
z-value (and optionally an interval). If this is not given, the | ||
existing range in the master CPT will be used intact. The values | ||
produced defines the color slice boundaries. If **+n** is used it | ||
refers to the number of such boundaries and not the number of slices. | ||
For details on array creation, see | ||
:gmt-docs:`makecpt.html#generate-1d-array`. | ||
truncate : list or str | ||
*zlo/zhi*. | ||
Truncate the incoming CPT so that the lowest and highest z-levels are | ||
to *zlo* and *zhi*. If one of these equal NaN then we leave that end of | ||
the CPT alone. The truncation takes place before any resampling. See | ||
also :gmt-docs:`cookbook/features.html#manipulating-cpts`. | ||
output : str | ||
Optional argument to set the file name with extension .cpt to store | ||
the generated CPT file. If not given or False (default), saves the CPT | ||
as the session current CPT. | ||
reverse : str | ||
Set this to True or c [Default] to reverse the sense of color | ||
progression in the master CPT. Set this to z to reverse the sign of | ||
z-values in the color table. Note that this change of z-direction | ||
happens before *truncate* and *series* values are used so the latter | ||
must be compatible with the changed *z*-range. See also | ||
:gmt-docs:`cookbook/features.html#manipulating-cpts`. | ||
overrule_bg : str | ||
Overrule background, foreground, and NaN colors specified in the master | ||
CPT with the values of the parameters :gmt-term:`COLOR_BACKGROUND`, | ||
:gmt-term:`COLOR_FOREGROUND`, and :gmt-term:`COLOR_NAN` specified in | ||
the :gmt-docs:`gmt.conf <gmt.conf>` file or on the command line. When | ||
combined with ``background``, only :gmt-term:`COLOR_NAN` is considered. | ||
no_bg : bool | ||
Do not write out the background, foreground, and NaN-color fields | ||
[Default will write them, i.e. ``no_bg=False``]. | ||
log : bool | ||
For logarithmic interpolation scheme with input given as logarithms. | ||
Expects input z-values provided via ``series`` to be log10(*z*), | ||
assigns colors, and writes out *z*. | ||
continuous : bool | ||
Force a continuous CPT when building from a list of colors and a list | ||
of z-values [Default is None, i.e. discrete values]. | ||
categorical : bool | ||
Do not interpolate the input color table but pick the output colors | ||
starting at the beginning of the color table, until colors for all | ||
intervals are assigned. This is particularly useful in combination with | ||
a categorical color table, like ``cmap='categorical'``. | ||
cyclic : bool | ||
Produce a wrapped (cyclic) color table that endlessly repeats its | ||
range. Note that ``cyclic=True`` cannot be set together with | ||
``categorical=True``. | ||
{V} | ||
""" | ||
if "W" in kwargs and "Ww" in kwargs: | ||
raise GMTInvalidInput("Set only categorical or cyclic to True, not both.") | ||
kind = data_kind(grid) | ||
with Session() as lib: | ||
if kind == "file": | ||
file_context = dummy_context(grid) | ||
elif kind == "grid": | ||
file_context = lib.virtualfile_from_grid(grid) | ||
else: | ||
raise GMTInvalidInput(f"Unrecognized data type: {type(grid)}") | ||
with file_context as infile: | ||
if "H" not in kwargs.keys(): # if no output is set | ||
arg_str = " ".join([infile, build_arg_string(kwargs)]) | ||
elif "H" in kwargs.keys(): # if output is set | ||
outfile = kwargs.pop("H") | ||
if not outfile or not isinstance(outfile, str): | ||
raise GMTInvalidInput("'output' should be a proper file name.") | ||
arg_str = " ".join( | ||
[infile, build_arg_string(kwargs), f"-H > {outfile}"] | ||
) | ||
lib.call_module("grd2cpt", arg_str) |
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Original file line number | Diff line number | Diff line change |
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""" | ||
Tests for grd2cpt. | ||
""" | ||
import os | ||
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import pytest | ||
from pygmt import Figure | ||
from pygmt.datasets import load_earth_relief | ||
from pygmt.exceptions import GMTInvalidInput | ||
from pygmt.helpers import GMTTempFile | ||
from pygmt.helpers.testing import check_figures_equal | ||
from pygmt.src.grd2cpt import grd2cpt | ||
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@pytest.fixture(scope="module", name="grid") | ||
def fixture_grid(): | ||
""" | ||
Load the grid data from the sample earth_relief file. | ||
""" | ||
return load_earth_relief() | ||
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@check_figures_equal() | ||
def test_grd2cpt(grid): | ||
""" | ||
Test creating a CPT with grd2cpt to create a CPT based off a grid input and | ||
plot it with a color bar. | ||
""" | ||
fig_ref, fig_test = Figure(), Figure() | ||
# Use single-character arguments for the reference image | ||
fig_ref.basemap(B="a", J="W0/15c", R="d") | ||
grd2cpt(grid="@earth_relief_01d") | ||
fig_ref.colorbar(B="a2000") | ||
fig_test.basemap(frame="a", projection="W0/15c", region="d") | ||
grd2cpt(grid=grid) | ||
fig_test.colorbar(frame="a2000") | ||
return fig_ref, fig_test | ||
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def test_grd2cpt_blank_output(grid): | ||
""" | ||
Use incorrect setting by passing in blank file name to output parameter. | ||
""" | ||
with pytest.raises(GMTInvalidInput): | ||
grd2cpt(grid=grid, output="") | ||
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def test_grd2cpt_invalid_output(grid): | ||
""" | ||
Use incorrect setting by passing in invalid type to output parameter. | ||
""" | ||
with pytest.raises(GMTInvalidInput): | ||
grd2cpt(grid=grid, output=["some.cpt"]) | ||
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def test_grd2cpt_output_to_cpt_file(grid): | ||
""" | ||
Save the generated static color palette table to a .cpt file. | ||
""" | ||
with GMTTempFile(suffix=".cpt") as cptfile: | ||
grd2cpt(grid=grid, output=cptfile.name) | ||
assert os.path.getsize(cptfile.name) > 0 | ||
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def test_grd2cpt_unrecognized_data_type(): | ||
""" | ||
Test that an error will be raised if an invalid data type is passed to | ||
grid. | ||
""" | ||
with pytest.raises(GMTInvalidInput): | ||
grd2cpt(grid=0) | ||
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def test_grd2cpt_categorical_and_cyclic(grid): | ||
""" | ||
Use incorrect setting by setting both categorical and cyclic to True. | ||
""" | ||
with pytest.raises(GMTInvalidInput): | ||
grd2cpt(grid=grid, cmap="batlow", categorical=True, cyclic=True) |
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