Plotting Utilities (dataval.plots
)
Plotting utilities.
Code author: Rasmus Handberg <rasmush@phys.au.dk>
- dataval.plots.colorbar(im, ax=None, loc='right', pad=None, size='5%', label=None, ticks=None, ticklabels=None)[source]
Draw colorbar next to the given axes.
- Returns:
Colorbar handle.
- Return type:
matplotlib.colorbar.Colorbar
Code author: Rasmus Handberg <rasmush@phys.au.dk>
- dataval.plots.plot_image(image, ax=None, scale='log', cmap=None, origin='lower', xlabel=None, ylabel=None, cbar=None, clabel='Flux ($e^{-}s^{-1}$)', cbar_ticks=None, cbar_ticklabels=None, cbar_pad=None, cbar_size='5%', title=None, percentile=95.0, vmin=None, vmax=None, offset_axes=None, color_bad='k', **kwargs)[source]
Utility function to plot a 2D image.
- Parameters:
image (2d array) – Image data.
ax (matplotlib.pyplot.axes, optional) – Axes in which to plot. Default (None) is to use current active axes.
scale (str or
astropy.visualization.ImageNormalize
object, optional) – Normalization used to stretch the colormap. Options:'linear'
,'sqrt'
,'log'
,'asinh'
,'histeq'
,'sinh'
and'squared'
. Can also be aastropy.visualization.ImageNormalize
object. Default is'log'
.origin (str, optional) – The origin of the coordinate system.
xlabel (str, optional) – Label for the x-axis.
ylabel (str, optional) – Label for the y-axis.
cbar (string, optional) – Location of color bar. Choises are
'right'
,'left'
,'top'
,'bottom'
. Default is not to create colorbar.clabel (str, optional) – Label for the color bar.
cbar_size (float, optional) – Fractional size of colorbar compared to axes. Default=0.03.
cbar_pad (float, optional) – Padding between axes and colorbar.
title (str or None, optional) – Title for the plot.
percentile (float, optional) – The fraction of pixels to keep in color-trim. If single float given, the same fraction of pixels is eliminated from both ends. If tuple of two floats is given, the two are used as the percentiles. Default=95.
cmap (matplotlib colormap, optional) – Colormap to use. Default is the
Blues
colormap.vmin (float, optional) – Lower limit to use for colormap.
vmax (float, optional) – Upper limit to use for colormap.
color_bad (str, optional) – Color to apply to bad pixels (NaN). Default is black.
kwargs (dict, optional) – Keyword arguments to be passed to
matplotlib.pyplot.imshow()
.
- Returns:
- Image from returned
by
matplotlib.pyplot.imshow()
.
- Return type:
matplotlib.image.AxesImage
Code author: Rasmus Handberg <rasmush@phys.au.dk>
- dataval.plots.plot_image_fit_residuals(fig, image, fit, residuals=None, percentile=95.0)[source]
Make a figure with three subplots showing the image, the fit and the residuals. The image and the fit are shown with logarithmic scaling and a common colorbar. The residuals are shown with linear scaling and a separate colorbar.
- Parameters:
fig (fig object) – Figure object in which to make the subplots.
image (2D array) – Image numpy array.
fit (2D array) – Fitted image numpy array.
residuals (2D array, optional) – Fitted image subtracted from image numpy array.
- Returns:
List with Matplotlib subplot axes objects for each subplot.
- Return type:
list
- dataval.plots.plots_interactive(backend=('Qt5Agg', 'MacOSX', 'Qt4Agg', 'GTK3Agg', 'Qt5Cairo', 'GTK3Cairo', 'TkAgg'))[source]
Change plotting to using an interactive backend.
- Parameters:
backend (str or list) – Backend to change to. If not provided, will try different interactive backends and use the first one that works.
Code author: Rasmus Handberg <rasmush@phys.au.dk>
- dataval.plots.plots_noninteractive()[source]
Change plotting to using a non-interactive backend, which can e.g. be used on a cluster. Will set backend to ‘Agg’.
Code author: Rasmus Handberg <rasmush@phys.au.dk>