"""
Base class with plot generating commands.
Does not define any special non-GMT methods (savefig, show, etc).
"""
from .clib import Session
from .exceptions import GMTInvalidInput
from .helpers import (
build_arg_string,
dummy_context,
data_kind,
fmt_docstring,
use_alias,
kwargs_to_strings,
)
class BasePlotting:
"""
Base class for Figure and Subplot.
Defines the plot generating methods and a hook for subclasses to insert
special arguments (the _preprocess method).
"""
def _preprocess(self, **kwargs): # pylint: disable=no-self-use
"""
Make any changes to kwargs or required actions before plotting.
This method is run before all plotting commands and can be used to
insert special arguments into the kwargs or make any actions that are
required before ``call_module``.
For example, the :class:`gmt.Figure` needs this to tell the GMT modules
to plot to a specific figure.
This is a dummy method that does nothing.
Returns
-------
kwargs : dict
The same input kwargs dictionary.
Examples
--------
>>> base = BasePlotting()
>>> base._preprocess(resolution='low')
{'resolution': 'low'}
"""
return kwargs
@fmt_docstring
@use_alias(
R="region",
J="projection",
A="area_thresh",
B="frame",
D="resolution",
I="rivers",
N="borders",
W="shorelines",
G="land",
S="water",
)
@kwargs_to_strings(R="sequence")
def coast(self, **kwargs):
"""
Plot continents, shorelines, rivers, and borders on maps
Plots grayshaded, colored, or textured land-masses [or water-masses] on
maps and [optionally] draws coastlines, rivers, and political
boundaries. Alternatively, it can (1) issue clip paths that will
contain all land or all water areas, or (2) dump the data to an ASCII
table. The data files come in 5 different resolutions: (**f**)ull,
(**h**)igh, (**i**)ntermediate, (**l**)ow, and (**c**)rude. The full
resolution files amount to more than 55 Mb of data and provide great
detail; for maps of larger geographical extent it is more economical to
use one of the other resolutions. If the user selects to paint the
land-areas and does not specify fill of water-areas then the latter
will be transparent (i.e., earlier graphics drawn in those areas will
not be overwritten). Likewise, if the water-areas are painted and no
land fill is set then the land-areas will be transparent.
A map projection must be supplied.
{gmt_module_docs}
{aliases}
Parameters
----------
{J}
{R}
A : int, float, or str
``'min_area[/min_level/max_level][+ag|i|s|S][+r|l][+ppercent]'``
Features with an area smaller than min_area in km^2 or of
hierarchical level that is lower than min_level or higher than
max_level will not be plotted.
{B}
C : str
Set the shade, color, or pattern for lakes and river-lakes.
D : str
Selects the resolution of the data set to use ((f)ull, (h)igh,
(i)ntermediate, (l)ow, and (c)rude).
G : str
Select filling or clipping of “dry” areas.
I : str
``'river[/pen]'``
Draw rivers. Specify the type of rivers and [optionally] append pen
attributes.
N : str
``'border[/pen]'``
Draw political boundaries. Specify the type of boundary and
[optionally] append pen attributes
S : str
Select filling or clipping of “wet” areas.
{U}
W : str
``'[level/]pen'``
Draw shorelines [Default is no shorelines]. Append pen attributes.
"""
kwargs = self._preprocess(**kwargs)
with Session() as lib:
lib.call_module("coast", build_arg_string(kwargs))
@fmt_docstring
@use_alias(
A="annotation",
B="frame",
C="interval",
G="label_placement",
J="projection",
L="limit",
Q="cut",
R="region",
S="resample",
U="logo",
W="pen",
)
@kwargs_to_strings(R="sequence", L="sequence", A="sequence_plus")
def grdcontour(self, grid, **kwargs):
"""
Convert grids or images to contours and plot them on maps
Takes a grid file name or an xarray.DataArray object as input.
{gmt_module_docs}
{aliases}
Parameters
----------
grid : str or xarray.DataArray
The file name of the input grid or the grid loaded as a DataArray.
C : str or int
Specify the contour lines to generate.
- The filename of a `CPT` file where the color boundaries will
be used as contour levels.
- The filename of a 2 (or 3) column file containing the contour
levels (col 1), (C)ontour or (A)nnotate (col 2), and optional
angle (col 3)
- A fixed contour interval ``cont_int`` or a single contour with
``+[cont_int]``
A : str, int, or list
Specify or disable annotated contour levels, modifies annotated
contours specified in ``-C``.
- Specify a fixed annotation interval ``annot_int`` or a
single annotation level ``+[annot_int]``
- Disable all annotation with ``'-'``
- Optional label modifers can be specifed as a single string
``'[annot_int]+e'`` or with a list of options
``([annot_int], 'e', 'f10p', 'gred')``.
L : str or list of 2 ints
Do no draw contours below `low` or above `high`, specify as string
``'[low]/[high]'`` or list ``[low,high]``.
Q : string or int
Do not draw contours with less than `cut` number of points.
S : string or int
Resample smoothing factor.
{J}
{R}
{B}
{G}
{W}
"""
kwargs = self._preprocess(**kwargs)
kind = data_kind(grid, None, None)
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("Unrecognized data type: {}".format(type(grid)))
with file_context as fname:
arg_str = " ".join([fname, build_arg_string(kwargs)])
lib.call_module("grdcontour", arg_str)
@fmt_docstring
@use_alias(R="region", J="projection", W="pen", B="frame", I="shading", C="cmap")
@kwargs_to_strings(R="sequence")
def grdimage(self, grid, **kwargs):
"""
Project grids or images and plot them on maps.
Takes a grid file name or an xarray.DataArray object as input.
{gmt_module_docs}
{aliases}
Parameters
----------
grid : str or xarray.DataArray
The file name of the input grid or the grid loaded as a DataArray.
"""
kwargs = self._preprocess(**kwargs)
kind = data_kind(grid, None, None)
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("Unrecognized data type: {}".format(type(grid)))
with file_context as fname:
arg_str = " ".join([fname, build_arg_string(kwargs)])
lib.call_module("grdimage", arg_str)
@fmt_docstring
@use_alias(
R="region",
J="projection",
B="frame",
S="style",
G="color",
W="pen",
i="columns",
C="cmap",
)
@kwargs_to_strings(R="sequence", i="sequence_comma")
def plot(self, x=None, y=None, data=None, sizes=None, direction=None, **kwargs):
"""
Plot lines, polygons, and symbols on maps.
Used to be psxy.
Takes a matrix, (x,y) pairs, or a file name as input and plots lines,
polygons, or symbols at those locations on a map.
Must provide either *data* or *x* and *y*.
If providing data through *x* and *y*, *color* (G) can be a 1d array
that will be mapped to a colormap.
If a symbol is selected and no symbol size given, then psxy will
interpret the third column of the input data as symbol size. Symbols
whose size is <= 0 are skipped. If no symbols are specified then the
symbol code (see *S* below) must be present as last column in the
input. If *S* is not used, a line connecting the data points will be
drawn instead. To explicitly close polygons, use *L*. Select a fill
with *G*. If *G* is set, *W* will control whether the polygon outline
is drawn or not. If a symbol is selected, *G* and *W* determines the
fill and outline/no outline, respectively.
{gmt_module_docs}
{aliases}
Parameters
----------
x, y : 1d arrays
Arrays of x and y coordinates of the data points.
data : str or 2d array
Either a data file name or a 2d numpy array with the tabular data.
Use option *columns* (i) to choose which columns are x, y, color,
and size, respectively.
sizes : 1d array
The sizes of the data points in units specified in *style* (S).
Only valid if using *x* and *y*.
direction : list of two 1d arrays
If plotting vectors (using ``style='V'`` or ``style='v'``), then
should be a list of two 1d arrays with the vector directions. These
can be angle and length, azimuth and length, or x and y components,
depending on the style options chosen.
{J}
{R}
A : bool or str
``'[m|p|x|y]'``
By default, geographic line segments are drawn as great circle
arcs. To draw them as straight lines, use *A*.
{B}
{CPT}
D : str
``'dx/dy'``: Offset the plot symbol or line locations by the given
amounts dx/dy.
E : bool or str
``'[x|y|X|Y][+a][+cl|f][+n][+wcap][+ppen]'``.
Draw symmetrical error bars.
{G}
S : str
Plot symbols (including vectors, pie slices, fronts, decorated or
quoted lines).
{W}
{U}
"""
kwargs = self._preprocess(**kwargs)
kind = data_kind(data, x, y)
extra_arrays = []
if "S" in kwargs and kwargs["S"][0] in "vV" and direction is not None:
extra_arrays.extend(direction)
if "G" in kwargs and not isinstance(kwargs["G"], str):
if kind != "vectors":
raise GMTInvalidInput(
"Can't use arrays for color if data is matrix or file."
)
extra_arrays.append(kwargs["G"])
del kwargs["G"]
if sizes is not None:
if kind != "vectors":
raise GMTInvalidInput(
"Can't use arrays for sizes if data is matrix or file."
)
extra_arrays.append(sizes)
with Session() as lib:
# Choose how data will be passed in to the module
if kind == "file":
file_context = dummy_context(data)
elif kind == "matrix":
file_context = lib.virtualfile_from_matrix(data)
elif kind == "vectors":
file_context = lib.virtualfile_from_vectors(x, y, *extra_arrays)
with file_context as fname:
arg_str = " ".join([fname, build_arg_string(kwargs)])
lib.call_module("plot", arg_str)
@fmt_docstring
@use_alias(
R="region",
J="projection",
B="frame",
S="skip",
G="label_placement",
W="pen",
L="triangular_mesh_pen",
i="columns",
C="levels",
)
@kwargs_to_strings(R="sequence", i="sequence_comma")
def contour(self, x=None, y=None, z=None, data=None, **kwargs):
"""
Contour table data by direct triangulation.
Takes a matrix, (x,y,z) pairs, or a file name as input and plots lines,
polygons, or symbols at those locations on a map.
Must provide either *data* or *x*, *y*, and *z*.
[TODO: Insert more documentation]
{gmt_module_docs}
{aliases}
Parameters
----------
x, y, z : 1d arrays
Arrays of x and y coordinates and values z of the data points.
data : str or 2d array
Either a data file name or a 2d numpy array with the tabular data.
{J}
{R}
A : bool or str
``'[m|p|x|y]'``
By default, geographic line segments are drawn as great circle
arcs. To draw them as straight lines, use *A*.
{B}
C : Contour file or level(s)
D : Dump contour coordinates
E : Network information
G : Placement of labels
I : Color the triangles using CPT
L : Pen to draw the underlying triangulation (default none)
N : Do not clip contours
Q : Minimum contour length
``'[p|t]'``
S : Skip input points outside region
``'[p|t]'``
{W}
X : Origin shift x
Y : Origin shift y
"""
kwargs = self._preprocess(**kwargs)
kind = data_kind(data, x, y, z)
if kind == "vectors" and z is None:
raise GMTInvalidInput("Must provided both x, y, and z.")
with Session() as lib:
# Choose how data will be passed in to the module
if kind == "file":
file_context = dummy_context(data)
elif kind == "matrix":
file_context = lib.virtualfile_from_matrix(data)
elif kind == "vectors":
file_context = lib.virtualfile_from_vectors(x, y, z)
with file_context as fname:
arg_str = " ".join([fname, build_arg_string(kwargs)])
lib.call_module("contour", arg_str)
@fmt_docstring
@use_alias(R="region", J="projection", B="frame")
@kwargs_to_strings(R="sequence")
def basemap(self, **kwargs):
"""
Produce a basemap for the figure.
Several map projections are available, and the user may specify
separate tick-mark intervals for boundary annotation, ticking, and
[optionally] gridlines. A simple map scale or directional rose may also
be plotted.
At least one of the options *B*, *L*, or *T* must be specified.
{gmt_module_docs}
{aliases}
Parameters
----------
{J}
{R}
{B}
L : str
``'[g|j|J|n|x]refpoint'``
Draws a simple map scale centered on the reference point specified.
Td : str
Draws a map directional rose on the map at the location defined by
the reference and anchor points.
Tm : str
Draws a map magnetic rose on the map at the location defined by the
reference and anchor points
{U}
"""
kwargs = self._preprocess(**kwargs)
if not ("B" in kwargs or "L" in kwargs or "T" in kwargs):
raise GMTInvalidInput("At least one of B, L, or T must be specified.")
with Session() as lib:
lib.call_module("basemap", build_arg_string(kwargs))
@fmt_docstring
@use_alias(R="region", J="projection")
@kwargs_to_strings(R="sequence")
def logo(self, **kwargs):
"""
Place the GMT graphics logo on a map.
By default, the GMT logo is 2 inches wide and 1 inch high and
will be positioned relative to the current plot origin.
Use various options to change this and to place a transparent or
opaque rectangular map panel behind the GMT logo.
{gmt_module_docs}
{aliases}
Parameters
----------
{J}
{R}
D : str
``'[g|j|J|n|x]refpoint+wwidth[+jjustify][+odx[/dy]]'``.
Sets reference point on the map for the image.
F : bool or str
Without further options, draws a rectangular border around the
GMT logo.
{U}
"""
kwargs = self._preprocess(**kwargs)
if "D" not in kwargs:
raise GMTInvalidInput("Option D must be specified.")
with Session() as lib:
lib.call_module("logo", build_arg_string(kwargs))
@fmt_docstring
@use_alias(R="region", J="projection")
@kwargs_to_strings(R="sequence")
def image(self, imagefile, **kwargs):
"""
Place images or EPS files on maps.
Reads an Encapsulated PostScript file or a raster image file and plots it on a map.
{gmt_module_docs}
{aliases}
Parameters
----------
{J}
{R}
D: str
``'[g|j|J|n|x]refpoint+rdpi+w[-]width[/height][+jjustify][+nnx[/ny]][+odx[/dy]]'``
Sets reference point on the map for the image.
F : bool or str
``'[+cclearances][+gfill][+i[[gap/]pen]][+p[pen]][+r[radius]][+s[[dx/dy/][shade]]]'``
Without further options, draws a rectangular border around the
image using **MAP_FRAME_PEN**.
M : bool
Convert color image to monochrome grayshades using the (television)
YIQ-transformation.
"""
kwargs = self._preprocess(**kwargs)
with Session() as lib:
arg_str = " ".join([imagefile, build_arg_string(kwargs)])
lib.call_module("image", arg_str)