# This software is open source software available under the BSD-3 license.
#
# Copyright (c) 2020 Triad National Security, LLC. All rights reserved.
# Copyright (c) 2020 Lawrence Livermore National Security, LLC. All rights
# reserved.
# Copyright (c) 2020 UT-Battelle, LLC. All rights reserved.
#
# Additional copyright and license information can be found in the LICENSE file
# distributed with this code, or at
# https://raw.githubusercontent.com/MPAS-Dev/MPAS-Analysis/master/LICENSE
"""
Funcitons for plotting vertical sections, both alone and as comparisons between
runs or with observations
"""
# Authors
# -------
# Xylar Asay-Davis, Milena Veneziani, Luke Van Roekel, Greg Streletz
from __future__ import absolute_import, division, print_function, \
unicode_literals
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.tri import Triangulation
import xarray as xr
import numpy as np
from mpas_analysis.shared.timekeeping.utility import date_to_days
from mpas_analysis.shared.plot.colormap import setup_colormap
from mpas_analysis.shared.plot.ticks import plot_xtick_format
from mpas_analysis.shared.plot.title import limit_title
[docs]def plot_vertical_section_comparison(
config,
modelArray,
refArray,
diffArray,
colorMapSectionName,
xCoords=None,
zCoord=None,
triangulation_args=None,
xOutlineModel=None,
zOutlineModel=None,
xOutlineRef=None,
zOutlineRef=None,
xOutlineDiff=None,
zOutlineDiff=None,
colorbarLabel=None,
xlabels=None,
ylabel=None,
title=None,
modelTitle='Model',
refTitle='Observations',
diffTitle='Model-Observations',
titleFontSize=None,
defaultFontSize=None,
plotTitleFontSize=None,
axisFontSize=None,
figsize=None,
dpi=None,
lineWidth=2,
lineStyle='solid',
lineColor='black',
backgroundColor='grey',
invalidColor='white',
outlineValid=True,
xLim=None,
yLim=None,
numUpperTicks=None,
upperXAxisTickLabelPrecision=None,
invertYAxis=True,
xCoordIsTime=False,
movingAveragePoints=None,
firstYearXTicks=None,
yearStrideXTicks=None,
maxXTicks=20,
calendar='gregorian',
compareAsContours=False,
comparisonContourLineStyle=None,
comparisonContourLineColor=None,
labelContours=False,
contourLabelPrecision=1,
resultSuffix='Result',
diffSuffix='Difference',
maxTitleLength=70):
"""
Plots vertical section plots in a three-panel format, comparing model data
(in modelArray) to some reference dataset (in refArray), which can be
either observations or an alternative model, and also presenting the
difference plot of the two. If refArray is None, then only one panel
is plotted, displaying the model data.
If compareAsContours is true, the contours of modelArray and refArray are
plotted on a single plot.
Parameters
----------
config : instance of ConfigParser
the configuration, containing a [plot] section with options that
control plotting
modelArray, refArray : xarray.DataArray
model and observational or control run data sets
diffArray : float array
difference between modelArray and refArray
xCoords : xarray.DataArray or list of xarray.DataArray, optional
The x coordinate(s) for the model, ref and diff arrays. Optional second
and third entries will be used for a second and third x axis above the
plot. The typical use for the second and third axis is for transects,
for which the primary x axis represents distance along a transect, and
the second and third x axes are used to display the corresponding
latitudes and longitudes.
zCoord : xarray.DataArray, optional
The z coordinates for the model, ref and diff arrays
triangulation_args : dict, optional
A dict of arguments to create a matplotlib.tri.Triangulation of the
transect that does not rely on it being on a logically rectangular grid.
The arguments rather than the triangulation itself are passed because
multiple triangulations with different masks are needed internally and
there is not an obvious mechanism for copying an existing triangulation.
If this option is provided, ``xCoords`` is only used for tick marks if
more than one x axis is requested, and ``zCoord`` will be ignored.
xOutlineModel, zOutlineModel : numpy.ndarray, optional
pairs of points defining line segments that are used to outline the
valid region of the mesh for the model panel if ``outlineValid = True``
and ``triangulation_args`` is not ``None``
xOutlineRef, zOutlineRef : numpy.ndarray, optional
Same as ``xOutlineModel`` and ``zOutlineModel`` but for the reference
panel
xOutlineDiff, zOutlineDiff : numpy.ndarray, optional
Same as ``xOutlineModel`` and ``zOutlineModel`` but for the difference
panel
colorMapSectionName : str
section name in ``config`` where color map info can be found.
colorbarLabel : str, optional
the label for the colorbar. If compareAsContours and labelContours are
both True, colorbarLabel is used as follows (typically in order to
indicate the units that are associated with the contour labels):
if refArray is None, the colorbarLabel string is parenthetically
appended to the plot title; if refArray is not None, it is
parenthetically appended to the legend entries of the contour
comparison plot.
xlabels : str or list of str, optional
labels of x-axes. Labels correspond to entries in ``xCoords``.
ylabel : str, optional
label of y-axis
title : str, optional
the subtitle of the plot
modelTitle : str, optional
title of the model panel
refTitle : str, optional
title of the observations or control run panel
diffTitle : str, optional
title of the difference (bias) panel
titleFontSize : int, optional
size of the title font
defaultFontSize : int, optional
the size of text other than the title
plotTitleFontSize : int, optional
size of the title font for the individual plots
axisFontSize : int, optional
size of the axis font
figsize : tuple of float, optional
the size of the figure in inches
dpi : int, optional
the number of dots per inch of the figure, taken from section ``plot``
option ``dpi`` in the config file by default
lineWidth : int, optional
the line width of contour lines (if specified)
lineStyle : str, optional
the line style of contour lines (if specified); this applies to the
contour lines on heatmaps and to the contour lines of the model field
on contour comparison plots (the line style of the contour lines of
the reference field on contour comparison plots is set using the
contourComparisonLineStyle argument).
lineColor : str, optional
the color of contour lines (if specified); this applies to the
contour lines on heatmaps and to the contour lines of the model field
on contour comparison plots (the line color of the contour lines of
the reference field on contour comparison plots is set using the
contourComparisonLineColor argument).
backgroundColor : str, optional
the background color for the plot outside the limits of ``xCoord`` and
``zCoord``.
invalidColor : str, optional
the color for invalid values (NaNs and masked areas will be
shown in this color)
outlineValid : bool, optional
whether to outline the boundary between the valid an invalid regions
with a black contour
xLim : float array, optional
x range of plot
yLim : float array, optional
y range of plot
numUpperTicks : the approximate number of ticks to use on the upper x axis
or axes (these are the second and third x axes, which are placed above
the plot if they have been requested by specifying the secondXAxisData
or thirdXAxisData arrays above)
upperXAxisTickLabelPrecision : the number of decimal places (to the right
of the decimal point) to use for values at upper axis ticks. This
value can be adjusted (in concert with numUpperTicks) to avoid problems
with overlapping numbers along the upper axis.
invertYAxis : logical, optional
if True, invert Y axis
xCoordIsTime : logical, optional
if True, format the x axis for time (this applies only to the primary
x axis, not to the optional second or third x axes)
movingAveragePoints : int, optional
the number of points over which to perform a moving average
NOTE: this option is mostly intended for use when xCoordIsTime is True,
although it will work with other data as well. Also, the moving
average calculation is based on number of points, not actual x axis
values, so for best results, the values in the xArray should be equally
spaced.
firstYearXTicks : int, optional
The year of the first tick on the x axis. By default, the first time
entry is the first tick.
yearStrideXTicks : int, optional
The number of years between x ticks. By default, the stride is chosen
automatically to have ``maxXTicks`` tick marks or fewer.
maxXTicks : int, optional
the maximum number of tick marks that will be allowed along the primary
x axis. This may need to be adjusted depending on the figure size and
aspect ratio. NOTE: maxXTicks is only used if xCoordIsTime is True
calendar : str, optional
the calendar to use for formatting the time axis
NOTE: calendar is only used if xCoordIsTime is True
compareAsContours : bool, optional
if compareAsContours is True, instead of creating a three panel plot
showing modelArray, refArray, and their difference, the function will
plot the contours of modelArray and refArray on a single plot (unless
refArray is None, in which case only the contours of modelArray will be
plotted on the single panel plot).
comparisonContourLineStyle : str, optional
the line style of contour lines of the reference field on a contour
comparison plot
comparisonContourLineColor : str, optional
the line color of contour lines of the reference field on a contour
comparison plot
labelContours : bool, optional
whether or not to label contour lines (if specified) with their values
contourLabelPrecision : int, optional
the precision (in terms of number of figures to the right of the
decimal point) of contour labels
resultSuffix : str, optional
a suffix added to the config options related to colormap information
for the main and control fields
diffSuffix : str, optional
a suffix added to the config options related to colormap information
for the difference field
maxTitleLength : int, optional
the maximum number of characters in the title, beyond which it is
truncated with a trailing ellipsis
Returns
-------
fig : ``matplotlib.figure.Figure``
The figure that was plotted
axes : list of ``matplotlib.axes.Axes``
The subplots
suptitle : ``matplotlib.text.Text``
The super-title
"""
# Authors
# -------
# Greg Streletz, Xylar Asay-Davis, Milena Veneziani
if defaultFontSize is None:
defaultFontSize = config.getint('plot', 'defaultFontSize')
matplotlib.rc('font', size=defaultFontSize)
if not isinstance(xCoords, list):
xCoords = [xCoords]
if not isinstance(xlabels, list):
xlabels = [xlabels]
if refArray is None or compareAsContours:
singlePanel = True
else:
singlePanel = False
# set up figure
if dpi is None:
dpi = config.getint('plot', 'dpi')
if figsize is None:
# set the defaults, depending on if we have 1 or 3 panels, and
# depending on how many x axes are to be displayed on the plots
if singlePanel:
if compareAsContours and refArray is not None:
if len(xCoords) == 3:
figsize = (8, 8)
else:
figsize = (8, 7)
else:
figsize = (8, 5)
elif len(xCoords) == 3:
figsize = (8, 17)
else:
figsize = (8, 13)
fig = plt.figure(figsize=figsize, dpi=dpi)
if title is not None:
if titleFontSize is None:
titleFontSize = config.get('plot', 'threePanelTitleFontSize')
title_font = {'size': titleFontSize,
'color': config.get('plot', 'threePanelTitleFontColor'),
'weight': config.get('plot',
'threePanelTitleFontWeight')}
suptitle = fig.suptitle(title, y=0.99, **title_font)
else:
suptitle = None
if plotTitleFontSize is None:
plotTitleFontSize = config.get('plot', 'threePanelPlotTitleFontSize')
if len(xCoords) == 3:
if singlePanel:
titleY = 1.64
else:
titleY = 1.34
elif len(xCoords) >= 2:
titleY = 1.20
else:
titleY = 1.06
if axisFontSize is None:
axisFontSize = config.get('plot', 'threePanelAxisFontSize')
if not singlePanel:
plt.subplot(3, 1, 1)
if not compareAsContours or refArray is None:
title = modelTitle
contourComparisonField = None
comparisonFieldName = None
originalFieldName = None
else:
title = None
contourComparisonField = refArray
comparisonFieldName = refTitle
originalFieldName = modelTitle
axes = []
_, ax = plot_vertical_section(
config,
modelArray,
colorMapSectionName,
xCoords=xCoords,
zCoord=zCoord,
triangulation_args=triangulation_args,
xOutline=xOutlineModel,
zOutline=zOutlineModel,
suffix=resultSuffix,
colorbarLabel=colorbarLabel,
title=title,
xlabels=xlabels,
ylabel=ylabel,
figsize=None,
titleFontSize=plotTitleFontSize,
defaultFontSize=defaultFontSize,
titleY=titleY,
axisFontSize=axisFontSize,
xLim=xLim,
yLim=yLim,
lineWidth=lineWidth,
lineStyle=lineStyle,
lineColor=lineColor,
numUpperTicks=numUpperTicks,
upperXAxisTickLabelPrecision=upperXAxisTickLabelPrecision,
invertYAxis=invertYAxis,
xCoordIsTime=xCoordIsTime,
movingAveragePoints=movingAveragePoints,
firstYearXTicks=firstYearXTicks,
yearStrideXTicks=yearStrideXTicks,
maxXTicks=maxXTicks, calendar=calendar,
backgroundColor=backgroundColor,
invalidColor=invalidColor,
outlineValid=outlineValid,
plotAsContours=compareAsContours,
contourComparisonField=contourComparisonField,
comparisonFieldName=comparisonFieldName,
originalFieldName=originalFieldName,
comparisonContourLineStyle=comparisonContourLineStyle,
comparisonContourLineColor=comparisonContourLineColor,
labelContours=labelContours,
contourLabelPrecision=contourLabelPrecision,
maxTitleLength=maxTitleLength)
axes.append(ax)
if not singlePanel:
plt.subplot(3, 1, 2)
_, ax = plot_vertical_section(
config,
refArray,
colorMapSectionName,
xCoords=xCoords,
zCoord=zCoord,
triangulation_args=triangulation_args,
xOutline=xOutlineRef,
zOutline=zOutlineRef,
suffix=resultSuffix,
colorbarLabel=colorbarLabel,
title=refTitle,
xlabels=xlabels,
ylabel=ylabel,
figsize=None,
titleFontSize=plotTitleFontSize,
defaultFontSize=defaultFontSize,
titleY=titleY,
axisFontSize=axisFontSize,
xLim=xLim,
yLim=yLim,
lineWidth=lineWidth,
lineStyle=lineStyle,
lineColor=lineColor,
upperXAxisTickLabelPrecision=upperXAxisTickLabelPrecision,
numUpperTicks=numUpperTicks,
invertYAxis=invertYAxis,
xCoordIsTime=xCoordIsTime,
movingAveragePoints=movingAveragePoints,
firstYearXTicks=firstYearXTicks,
yearStrideXTicks=yearStrideXTicks,
maxXTicks=maxXTicks,
calendar=calendar,
backgroundColor=backgroundColor,
invalidColor=invalidColor,
outlineValid=outlineValid,
labelContours=labelContours,
contourLabelPrecision=contourLabelPrecision,
maxTitleLength=maxTitleLength)
axes.append(ax)
plt.subplot(3, 1, 3)
_, ax = plot_vertical_section(
config,
diffArray,
colorMapSectionName,
xCoords=xCoords,
zCoord=zCoord,
triangulation_args=triangulation_args,
xOutline=xOutlineDiff,
zOutline=zOutlineDiff,
suffix=diffSuffix,
colorbarLabel=colorbarLabel,
title=diffTitle,
xlabels=xlabels,
ylabel=ylabel,
figsize=None,
titleFontSize=plotTitleFontSize,
defaultFontSize=defaultFontSize,
titleY=titleY,
axisFontSize=axisFontSize,
xLim=xLim,
yLim=yLim,
lineWidth=lineWidth,
lineStyle=lineStyle,
lineColor=lineColor,
upperXAxisTickLabelPrecision=upperXAxisTickLabelPrecision,
numUpperTicks=numUpperTicks,
invertYAxis=invertYAxis,
xCoordIsTime=xCoordIsTime,
movingAveragePoints=movingAveragePoints,
firstYearXTicks=firstYearXTicks,
yearStrideXTicks=yearStrideXTicks,
maxXTicks=maxXTicks,
calendar=calendar,
backgroundColor=backgroundColor,
invalidColor=invalidColor,
outlineValid=outlineValid,
labelContours=labelContours,
contourLabelPrecision=contourLabelPrecision,
maxTitleLength=maxTitleLength)
axes.append(ax)
if singlePanel:
if len(xCoords) == 3 and refArray is None:
plt.tight_layout(pad=0.0, h_pad=2.0, rect=[0.0, 0.0, 1.0, 0.98])
else:
plt.tight_layout(pad=0.0, h_pad=2.0, rect=[0.0, 0.0, 1.0, 0.95])
else:
plt.tight_layout(pad=0.0, h_pad=2.0, rect=[0.01, 0.0, 1.0, 0.97])
return fig, axes, suptitle
[docs]def plot_vertical_section(
config,
field,
colorMapSectionName,
xCoords=None,
zCoord=None,
triangulation_args=None,
xOutline=None,
zOutline=None,
suffix='',
colorbarLabel=None,
title=None,
xlabels=None,
ylabel=None,
figsize=(10, 4),
dpi=None,
titleFontSize=None,
defaultFontSize=None,
titleY=None,
axisFontSize=None,
xLim=None,
yLim=None,
lineWidth=2,
lineStyle='solid',
lineColor='black',
backgroundColor='grey',
invalidColor='white',
outlineValid=True,
numUpperTicks=None,
upperXAxisTickLabelPrecision=None,
invertYAxis=True,
xCoordIsTime=False,
movingAveragePoints=None,
firstYearXTicks=None,
yearStrideXTicks=None,
maxXTicks=20,
calendar='gregorian',
plotAsContours=False,
contourComparisonField=None,
comparisonFieldName=None,
originalFieldName=None,
comparisonContourLineStyle=None,
comparisonContourLineColor=None,
labelContours=False,
contourLabelPrecision=1,
maxTitleLength=70): # {{{
"""
Plots a data set as a x distance (latitude, longitude,
or spherical distance) vs depth map (vertical section).
Or, if xCoordIsTime is True, plots data set on a vertical
Hovmoller plot (depth vs. time).
Typically, the ``field`` data are plotted using a heatmap, but if
``contourComparisonField`` is not None, then contours of both
``field`` and ``contourComparisonField`` are plotted instead.
Parameters
----------
config : instance of ConfigParser
the configuration, containing a [plot] section with options that
control plotting
field : xarray.DataArray
field array to plot. For contour plots, ``xCoords`` and ``zCoords``
should broadcast to the same shape as ``field``. For heatmap plots,
``xCoords`` and ``zCoords`` are the corners of the plot. If they
broadcast to the same shape as ``field``, ``field`` will be bilinearly
interpolated to center values for each plot cell. If the coordinates
have one extra element in each direction than ``field``, ``field`` is
assumed to contain cell values and no interpolation is performed.
colorMapSectionName : str
section name in ``config`` where color map info can be found.
xCoords : xarray.DataArray or list of xarray.DataArray, optional
The x coordinate(s) for the ``field``. Optional second
and third entries will be used for a second and third x axis above the
plot. The typical use for the second and third axis is for transects,
for which the primary x axis represents distance along a transect, and
the second and third x axes are used to display the corresponding
latitudes and longitudes.
zCoord : xarray.DataArray, optional
The z coordinates for the ``field``
triangulation_args : dict, optional
A dict of arguments to create a matplotlib.tri.Triangulation of the
transect that does not rely on it being on a logically rectangular grid.
The arguments rather than the triangulation itself are passed because
multiple triangulations with different masks are needed internally and
there is not an obvious mechanism for copying an existing triangulation.
If this option is provided, ``xCoords`` is only used for tick marks if
more than one x axis is requested, and ``zCoord`` will be ignored.
xOutline, zOutline : numpy.ndarray, optional
pairs of points defining line segments that are used to outline the
valid region of the mesh if ``outlineValid = True`` and
``triangulation_args`` is not ``None``
suffix : str, optional
the suffix used for colorbar config options
colorbarLabel : str, optional
the label for the colorbar. If plotAsContours and labelContours are
both True, colorbarLabel is used as follows (typically in order to
indicate the units that are associated with the contour labels):
if ``contourComparisonField`` is None, the ``colorbarLabel`` string is
parenthetically appended to the plot title; if
``contourComparisonField`` is not None, it is parenthetically appended
to the legend entries of the contour comparison plot.
title : str, optional
title of plot
xlabels : str or list of str, optional
labels of x-axes. Labels correspond to entries in ``xCoords``.
ylabel : str, optional
label of y-axis
figsize : tuple of float, optional
size of the figure in inches, or None if the current figure should
be used (e.g. if this is a subplot)
dpi : int, optional
the number of dots per inch of the figure, taken from section ``plot``
option ``dpi`` in the config file by default
titleFontSize : int, optional
size of the title font
defaultFontSize : int, optional
the size of text other than the title
titleY : float, optional
the y value to use for placing the plot title
axisFontSize : int, optional
size of the axis font
xLim : float array, optional
x range of plot
yLim : float array, optional
y range of plot
lineWidth : int, optional
the line width of contour lines (if specified)
lineStyle : str, optional
the line style of contour lines (if specified); this applies to the
style of contour lines of fieldArray (the style of the contour lines
of contourComparisonField is set using
contourComparisonLineStyle).
lineColor : str, optional
the color of contour lines (if specified); this applies to the
contour lines of fieldArray (the color of the contour lines of
contourComparisonField is set using contourComparisonLineColor
backgroundColor : str, optional
the background color for the plot outside the limits of ``xCoord`` and
``zCoord``.
invalidColor : str, optional
the color for invalid values (NaNs and masked areas will be
shown in this color)
outlineValid : bool, optional
whether to outline the boundary between the valid an invalid regions
with a black contour
numUpperTicks : int, optional
the approximate number of ticks to use on the upper x axis
or axes (these are the second and third x axes, which are placed above
the plot if they have been requested by specifying the secondXAxisData
or thirdXAxisData arrays above)
upperXAxisTickLabelPrecision : int, optional
the number of decimal places (to the right
of the decimal point) to use for values at upper axis ticks. This
value can be adjusted (in concert with numUpperTicks) to avoid problems
with overlapping numbers along the upper axis.
invertYAxis : logical, optional
if True, invert Y axis
xCoordIsTime : logical, optional
if True, format the x axis for time (this applies only to the primary
x axis, not to the optional second or third x axes)
movingAveragePoints : int, optional
the number of points over which to perform a moving average
NOTE: this option is mostly intended for use when ``xCoordIsTime`` is
True, although it will work with other data as well. Also, the moving
average calculation is based on number of points, not actual x axis
values, so for best results, the values in the first entry in
``xCoords`` should be equally spaced.
firstYearXTicks : int, optional
The year of the first tick on the x axis. By default, the first time
entry is the first tick.
yearStrideXTicks : int, optional
The number of years between x ticks. By default, the stride is chosen
automatically to have ``maxXTicks`` tick marks or fewer.
maxXTicks : int, optional
the maximum number of tick marks that will be allowed along the primary
x axis. This may need to be adjusted depending on the figure size and
aspect ratio. NOTE: maxXTicks is only used if xCoordIsTime is True
calendar : str, optional
the calendar to use for formatting the time axis
NOTE: calendar is only used if xCoordIsTime is True
plotAsContours : bool, optional
if plotAsContours is True, instead of plotting ``field`` as a
heatmap, the function will plot only the contours of ``field``. In
addition, if contourComparisonField is not None, the contours
of this field will be plotted on the same plot. The selection of
contour levels is still determined as for the contours on the heatmap
plots, via the 'contours' entry in ``colorMapSectionName``.
contourComparisonField : float array, optional
a comparison ``field`` array (typically observational data or results
from another simulation run), assumed to be of the same shape as
``field``. If ``plotAsContours`` is ``True`` and
``countourComparisonFieldArray`` is not ``None``, then contours of both
``field`` and ``contourComparisonField`` will be plotted in order to
enable a comparison of the two fields on the same plot.
comparisonFieldName : str, optional
the name for the comparison field. If contourComparisonField is
None, this parameter is ignored.
originalFieldName : str, optional
the name for the ``field`` field (for the purposes of labeling the
contours on a contour comparison plot). If contourComparisonField
is None, this parameter is ignored.
comparisonContourLineStyle : str, optional
the line style of contour lines of the comparisonFieldName field on
a contour comparison plot
comparisonContourLineColor : str, optional
the line color of contour lines of the comparisonFieldName field on
a contour comparison plot
labelContours : bool, optional
whether or not to label contour lines (if specified) with their values
contourLabelPrecision : int, optional
the precision (in terms of number of figures to the right of the
decimal point) of contour labels
maxTitleLength : int, optional
the maximum number of characters in the title, beyond which it is
truncated with a trailing ellipsis
Returns
-------
fig : ``matplotlib.figure.Figure``
The figure that was plotted
ax : ``matplotlib.axes.Axes``
The subplot
"""
# Authors
# -------
# Milena Veneziani, Mark Petersen, Xylar Asay-Davis, Greg Streletz
if defaultFontSize is None:
defaultFontSize = config.getint('plot', 'defaultFontSize')
matplotlib.rc('font', size=defaultFontSize)
if xCoords is not None:
if not isinstance(xCoords, list):
xCoords = [xCoords]
if not isinstance(xlabels, list):
xlabels = [xlabels]
if len(xCoords) != len(xlabels):
raise ValueError('Expected the same number of xCoords and xlabels')
if triangulation_args is None:
x, y = xr.broadcast(xCoords[0], zCoord)
dims_in_field = all([dim in field.dims for dim in x.dims])
if dims_in_field:
x = x.transpose(*field.dims)
y = y.transpose(*field.dims)
else:
xsize = list(x.sizes.values())
fieldsize = list(field.sizes.values())
if xsize[0] == fieldsize[0] + 1 and xsize[1] == fieldsize[1] + 1:
pass
elif xsize[0] == fieldsize[1] + 1 and xsize[1] == fieldsize[0] + 1:
x = x.transpose(x.dims[1], x.dims[0])
y = y.transpose(y.dims[1], y.dims[0])
else:
raise ValueError('Sizes of coords {}x{} and field {}x{} not '
'compatible.'.format(xsize[0], xsize[1],
fieldsize[0],
fieldsize[1]))
# compute moving averages with respect to the x dimension
if movingAveragePoints is not None and movingAveragePoints != 1:
dim = field.dims[0]
field = field.rolling(dim={dim: movingAveragePoints},
center=True).mean().dropna(dim)
x = x.rolling(dim={dim: movingAveragePoints},
center=True).mean().dropna(dim)
y = y.rolling(dim={dim: movingAveragePoints},
center=True).mean().dropna(dim)
mask = field.notnull()
maskedTriangulation, unmaskedTriangulation = _get_triangulation(
x, y, mask)
else:
mask = field.notnull()
triMask = np.logical_not(mask.values)
# if any node of a triangle is masked, the triangle is masked
triMask = np.amax(triMask, axis=1)
unmaskedTriangulation = Triangulation(**triangulation_args)
mask_args = dict(triangulation_args)
mask_args['mask'] = triMask
maskedTriangulation = Triangulation(**mask_args)
# set up figure
if dpi is None:
dpi = config.getint('plot', 'dpi')
if figsize is not None:
fig = plt.figure(figsize=figsize, dpi=dpi)
else:
fig = plt.gcf()
colormapDict = setup_colormap(config, colorMapSectionName,
suffix=suffix)
# fill the unmasked region with the invalid color so it will show through
# any masked regions
zeroArray = xr.zeros_like(field)
plt.tricontourf(unmaskedTriangulation, zeroArray.values.ravel(),
colors=invalidColor)
if not plotAsContours:
# display a heatmap of fieldArray
fieldMasked = field.where(mask, 0.0).values.ravel()
if colormapDict['levels'] is None:
plotHandle = plt.tripcolor(maskedTriangulation, fieldMasked,
cmap=colormapDict['colormap'],
norm=colormapDict['norm'],
rasterized=True, shading='gouraud')
else:
plotHandle = plt.tricontourf(maskedTriangulation, fieldMasked,
cmap=colormapDict['colormap'],
norm=colormapDict['norm'],
levels=colormapDict['levels'],
extend='both')
cbar = plt.colorbar(plotHandle,
orientation='vertical',
spacing='uniform',
aspect=9,
ticks=colormapDict['ticks'])
if colorbarLabel is not None:
cbar.set_label(colorbarLabel)
else:
# display a white heatmap to get a white background for non-land
zeroArray = xr.zeros_like(field)
plt.tricontourf(maskedTriangulation, zeroArray.values.ravel(),
colors='white')
ax = plt.gca()
ax.set_facecolor(backgroundColor)
if outlineValid:
if xOutline is not None and zOutline is not None:
# also outline the domain if provided
plt.plot(xOutline, zOutline, color='black', linewidth=1)
else:
# do a contour to outline the boundary between valid and invalid
# values
landMask = np.isnan(field.values).ravel()
plt.tricontour(unmaskedTriangulation, landMask, levels=[0.0001],
colors='black', linewidths=1)
# plot contours, if they were requested
contourLevels = colormapDict['contours']
fmt_string = None
cs1 = None
cs2 = None
if contourLevels is not None:
if len(contourLevels) == 0:
# automatic calculation of contour levels
contourLevels = None
cs1 = plt.tricontour(maskedTriangulation, field.values.ravel(),
levels=contourLevels,
colors=lineColor,
linestyles=lineStyle,
linewidths=lineWidth)
if labelContours:
fmt_string = "%%1.%df" % int(contourLabelPrecision)
plt.clabel(cs1, fmt=fmt_string)
if plotAsContours and contourComparisonField is not None:
cs2 = plt.tricontour(maskedTriangulation,
contourComparisonField.values.ravel(),
levels=contourLevels,
colors=comparisonContourLineColor,
linestyles=comparisonContourLineStyle,
linewidths=lineWidth)
if labelContours:
plt.clabel(cs2, fmt=fmt_string)
if plotAsContours and contourComparisonField is not None:
h1, _ = cs1.legend_elements()
h2, _ = cs2.legend_elements()
if labelContours:
originalFieldName = originalFieldName + " (" + colorbarLabel + ")"
comparisonFieldName = comparisonFieldName + " (" + \
colorbarLabel + ")"
ax.legend([h1[0], h2[0]], [originalFieldName, comparisonFieldName],
loc='upper center', bbox_to_anchor=(0.5, -0.25), ncol=1)
if title is not None:
if plotAsContours and labelContours \
and contourComparisonField is None:
title = limit_title(title, maxTitleLength-(3+len(colorbarLabel)))
title = title + " (" + colorbarLabel + ")"
else:
title = limit_title(title, maxTitleLength)
if titleFontSize is None:
titleFontSize = config.get('plot', 'titleFontSize')
title_font = {'size': titleFontSize,
'color': config.get('plot', 'titleFontColor'),
'weight': config.get('plot', 'titleFontWeight')}
if titleY is not None:
plt.title(title, y=titleY, **title_font)
else:
plt.title(title, **title_font)
if axisFontSize is None:
axisFontSize = config.get('plot', 'axisFontSize')
axis_font = {'size': axisFontSize}
if xlabels is not None:
plt.xlabel(xlabels[0], **axis_font)
if ylabel is not None:
plt.ylabel(ylabel, **axis_font)
if invertYAxis:
ax.invert_yaxis()
if xLim:
ax.set_xlim(xLim)
if yLim:
ax.set_ylim(yLim)
if xCoords is not None and xCoordIsTime:
if firstYearXTicks is None:
minDays = xCoords[0][0].values
else:
minDays = date_to_days(year=firstYearXTicks, calendar=calendar)
maxDays = xCoords[0][-1].values
plot_xtick_format(calendar, minDays, maxDays, maxXTicks,
yearStride=yearStrideXTicks)
# add a second x-axis scale, if it was requested
if xCoords is not None and len(xCoords) >= 2:
ax2 = ax.twiny()
ax2.set_facecolor(backgroundColor)
if xlabels[1] is not None:
ax2.set_xlabel(xlabels[1], **axis_font)
xlimits = ax.get_xlim()
ax2.set_xlim(xlimits)
formatString = None
xticks = None
if numUpperTicks is not None:
xticks = np.linspace(xlimits[0], xlimits[1], numUpperTicks)
tickValues = np.interp(xticks, xCoords[0].values, xCoords[1].values)
ax2.set_xticks(xticks)
formatString = "{{0:.{:d}f}}{}".format(
upperXAxisTickLabelPrecision, r'$\degree$')
ax2.set_xticklabels([formatString.format(member)
for member in tickValues])
# add a third x-axis scale, if it was requested
if len(xCoords) == 3:
ax3 = ax.twiny()
ax3.set_facecolor(backgroundColor)
ax3.set_xlabel(xlabels[2], **axis_font)
ax3.set_xlim(xlimits)
ax3.set_xticks(xticks)
if numUpperTicks is not None:
tickValues = np.interp(xticks, xCoords[0].values,
xCoords[2].values)
ax3.set_xticklabels([formatString.format(member)
for member in tickValues])
ax3.spines['top'].set_position(('outward', 36))
return fig, ax # }}}
def _get_triangulation(x, y, mask):
"""divide each quad in the x/y mesh into 2 triangles"""
nx = x.sizes[x.dims[0]] - 1
ny = x.sizes[x.dims[1]] - 1
nTriangles = 2*nx*ny
mask = mask.values
mask = np.logical_and(np.logical_and(mask[0:-1, 0:-1], mask[1:, 0:-1]),
np.logical_and(mask[0:-1, 1:], mask[1:, 1:]))
triMask = np.zeros((nx, ny, 2), bool)
triMask[:, :, 0] = np.logical_not(mask)
triMask[:, :, 1] = triMask[:, :, 0]
triMask = triMask.ravel()
xIndices, yIndices = np.meshgrid(np.arange(nx), np.arange(ny),
indexing='ij')
tris = np.zeros((nx, ny, 2, 3), int)
# upper triangles:
tris[:, :, 0, 0] = (ny+1)*xIndices + yIndices
tris[:, :, 0, 1] = (ny+1)*(xIndices + 1) + yIndices
tris[:, :, 0, 2] = (ny+1)*xIndices + yIndices + 1
# lower triangle
tris[:, :, 1, 0] = (ny+1)*xIndices + yIndices + 1
tris[:, :, 1, 1] = (ny+1)*(xIndices + 1) + yIndices
tris[:, :, 1, 2] = (ny+1)*(xIndices + 1) + yIndices + 1
tris = tris.reshape((nTriangles, 3))
x = x.values.ravel()
y = y.values.ravel()
maskedTriangulation = Triangulation(x=x, y=y, triangles=tris, mask=triMask)
unmaskedTriangulation = Triangulation(x=x, y=y, triangles=tris)
return maskedTriangulation, unmaskedTriangulation
# vim: foldmethod=marker ai ts=4 sts=4 et sw=4 ft=python