/usr/lib/python3/dist-packages/aplpy/ticks.py is in python3-aplpy 1.0-3.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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import warnings
import numpy as np
from matplotlib.pyplot import Locator
from . import wcs_util
from . import angle_util as au
from . import scalar_util as su
from . import math_util
from .decorators import auto_refresh
class Ticks(object):
@auto_refresh
def __init__(self, parent):
# Store references to axes
self._ax1 = parent._ax1
self._ax2 = parent._ax2
self._wcs = parent._wcs
self._figure = parent._figure
self._parent = parent
# Save plotting parameters (required for @auto_refresh)
self._parameters = parent._parameters
# Set tick positions
self._ax1.yaxis.tick_left()
self._ax1.xaxis.tick_bottom()
self._ax2.yaxis.tick_right()
self._ax2.xaxis.tick_top()
# Set tick spacing to default
self.set_xspacing('auto')
self.set_yspacing('auto')
# Set major tick locators
lx = WCSLocator(wcs=self._wcs, coord='x')
self._ax1.xaxis.set_major_locator(lx)
ly = WCSLocator(wcs=self._wcs, coord='y')
self._ax1.yaxis.set_major_locator(ly)
lxt = WCSLocator(wcs=self._wcs, coord='x', farside=True)
self._ax2.xaxis.set_major_locator(lxt)
lyt = WCSLocator(wcs=self._wcs, coord='y', farside=True)
self._ax2.yaxis.set_major_locator(lyt)
# Set minor tick locators
lx = WCSLocator(wcs=self._wcs, coord='x', minor=True)
self._ax1.xaxis.set_minor_locator(lx)
ly = WCSLocator(wcs=self._wcs, coord='y', minor=True)
self._ax1.yaxis.set_minor_locator(ly)
lxt = WCSLocator(wcs=self._wcs, coord='x', farside=True, minor=True)
self._ax2.xaxis.set_minor_locator(lxt)
lyt = WCSLocator(wcs=self._wcs, coord='y', farside=True, minor=True)
self._ax2.yaxis.set_minor_locator(lyt)
@auto_refresh
def set_xspacing(self, spacing):
'''
Set the x-axis tick spacing, in degrees. To set the tick spacing to be
automatically determined, set this to 'auto'.
'''
if spacing == 'auto':
self._ax1.xaxis.apl_auto_tick_spacing = True
self._ax2.xaxis.apl_auto_tick_spacing = True
else:
self._ax1.xaxis.apl_auto_tick_spacing = False
self._ax2.xaxis.apl_auto_tick_spacing = False
if self._wcs.xaxis_coord_type in ['longitude', 'latitude']:
try:
au._check_format_spacing_consistency(self._ax1.xaxis.apl_label_form, au.Angle(degrees=spacing, latitude=self._wcs.xaxis_coord_type == 'latitude'))
except au.InconsistentSpacing:
warnings.warn("WARNING: Requested tick spacing format cannot be shown by current label format. The tick spacing will not be changed.")
return
self._ax1.xaxis.apl_tick_spacing = au.Angle(degrees=spacing, latitude=self._wcs.xaxis_coord_type == 'latitude')
self._ax2.xaxis.apl_tick_spacing = au.Angle(degrees=spacing, latitude=self._wcs.xaxis_coord_type == 'latitude')
else:
try:
su._check_format_spacing_consistency(self._ax1.xaxis.apl_label_form, spacing)
except au.InconsistentSpacing:
warnings.warn("WARNING: Requested tick spacing format cannot be shown by current label format. The tick spacing will not be changed.")
return
self._ax1.xaxis.apl_tick_spacing = spacing
self._ax2.xaxis.apl_tick_spacing = spacing
if hasattr(self._parent, 'grid'):
self._parent.grid._update()
@auto_refresh
def set_yspacing(self, spacing):
'''
Set the y-axis tick spacing, in degrees. To set the tick spacing to be
automatically determined, set this to 'auto'.
'''
if spacing == 'auto':
self._ax1.yaxis.apl_auto_tick_spacing = True
self._ax2.yaxis.apl_auto_tick_spacing = True
else:
self._ax1.yaxis.apl_auto_tick_spacing = False
self._ax2.yaxis.apl_auto_tick_spacing = False
if self._wcs.yaxis_coord_type in ['longitude', 'latitude']:
try:
au._check_format_spacing_consistency(self._ax1.yaxis.apl_label_form, au.Angle(degrees=spacing, latitude=self._wcs.yaxis_coord_type == 'latitude'))
except au.InconsistentSpacing:
warnings.warn("WARNING: Requested tick spacing format cannot be shown by current label format. The tick spacing will not be changed.")
return
self._ax1.yaxis.apl_tick_spacing = au.Angle(degrees=spacing, latitude=self._wcs.yaxis_coord_type == 'latitude')
self._ax2.yaxis.apl_tick_spacing = au.Angle(degrees=spacing, latitude=self._wcs.yaxis_coord_type == 'latitude')
else:
try:
su._check_format_spacing_consistency(self._ax1.yaxis.apl_label_form, spacing)
except au.InconsistentSpacing:
warnings.warn("WARNING: Requested tick spacing format cannot be shown by current label format. The tick spacing will not be changed.")
return
self._ax1.yaxis.apl_tick_spacing = spacing
self._ax2.yaxis.apl_tick_spacing = spacing
if hasattr(self._parent, 'grid'):
self._parent.grid._update()
@auto_refresh
def set_color(self, color):
'''
Set the color of the ticks
'''
# Major ticks
for line in self._ax1.xaxis.get_ticklines():
line.set_color(color)
for line in self._ax1.yaxis.get_ticklines():
line.set_color(color)
for line in self._ax2.xaxis.get_ticklines():
line.set_color(color)
for line in self._ax2.yaxis.get_ticklines():
line.set_color(color)
# Minor ticks
for line in self._ax1.xaxis.get_minorticklines():
line.set_color(color)
for line in self._ax1.yaxis.get_minorticklines():
line.set_color(color)
for line in self._ax2.xaxis.get_minorticklines():
line.set_color(color)
for line in self._ax2.yaxis.get_minorticklines():
line.set_color(color)
@auto_refresh
def set_length(self, length, minor_factor=0.5):
'''
Set the length of the ticks (in points)
'''
# Major ticks
for line in self._ax1.xaxis.get_ticklines():
line.set_markersize(length)
for line in self._ax1.yaxis.get_ticklines():
line.set_markersize(length)
for line in self._ax2.xaxis.get_ticklines():
line.set_markersize(length)
for line in self._ax2.yaxis.get_ticklines():
line.set_markersize(length)
# Minor ticks
for line in self._ax1.xaxis.get_minorticklines():
line.set_markersize(length * minor_factor)
for line in self._ax1.yaxis.get_minorticklines():
line.set_markersize(length * minor_factor)
for line in self._ax2.xaxis.get_minorticklines():
line.set_markersize(length * minor_factor)
for line in self._ax2.yaxis.get_minorticklines():
line.set_markersize(length * minor_factor)
@auto_refresh
def set_linewidth(self, linewidth):
'''
Set the linewidth of the ticks (in points)
'''
# Major ticks
for line in self._ax1.xaxis.get_ticklines():
line.set_mew(linewidth)
for line in self._ax1.yaxis.get_ticklines():
line.set_mew(linewidth)
for line in self._ax2.xaxis.get_ticklines():
line.set_mew(linewidth)
for line in self._ax2.yaxis.get_ticklines():
line.set_mew(linewidth)
# Minor ticks
for line in self._ax1.xaxis.get_minorticklines():
line.set_mew(linewidth)
for line in self._ax1.yaxis.get_minorticklines():
line.set_mew(linewidth)
for line in self._ax2.xaxis.get_minorticklines():
line.set_mew(linewidth)
for line in self._ax2.yaxis.get_minorticklines():
line.set_mew(linewidth)
@auto_refresh
def set_minor_frequency(self, frequency):
'''
Set the number of subticks per major tick. Set to one to hide minor
ticks.
'''
self._ax1.xaxis.get_minor_locator().subticks = frequency
self._ax1.yaxis.get_minor_locator().subticks = frequency
self._ax2.xaxis.get_minor_locator().subticks = frequency
self._ax2.yaxis.get_minor_locator().subticks = frequency
@auto_refresh
def show(self):
"""
Show the x- and y-axis ticks
"""
self.show_x()
self.show_y()
@auto_refresh
def hide(self):
"""
Hide the x- and y-axis ticks
"""
self.hide_x()
self.hide_y()
@auto_refresh
def show_x(self):
"""
Show the x-axis ticks
"""
for line in self._ax1.xaxis.get_ticklines():
line.set_visible(True)
for line in self._ax2.xaxis.get_ticklines():
line.set_visible(True)
for line in self._ax1.xaxis.get_minorticklines():
line.set_visible(True)
for line in self._ax2.xaxis.get_minorticklines():
line.set_visible(True)
@auto_refresh
def hide_x(self):
"""
Hide the x-axis ticks
"""
for line in self._ax1.xaxis.get_ticklines():
line.set_visible(False)
for line in self._ax2.xaxis.get_ticklines():
line.set_visible(False)
for line in self._ax1.xaxis.get_minorticklines():
line.set_visible(False)
for line in self._ax2.xaxis.get_minorticklines():
line.set_visible(False)
@auto_refresh
def show_y(self):
"""
Show the y-axis ticks
"""
for line in self._ax1.yaxis.get_ticklines():
line.set_visible(True)
for line in self._ax2.yaxis.get_ticklines():
line.set_visible(True)
for line in self._ax1.yaxis.get_minorticklines():
line.set_visible(True)
for line in self._ax2.yaxis.get_minorticklines():
line.set_visible(True)
@auto_refresh
def hide_y(self):
"""
Hide the y-axis ticks
"""
for line in self._ax1.yaxis.get_ticklines():
line.set_visible(False)
for line in self._ax2.yaxis.get_ticklines():
line.set_visible(False)
for line in self._ax1.yaxis.get_minorticklines():
line.set_visible(False)
for line in self._ax2.yaxis.get_minorticklines():
line.set_visible(False)
class WCSLocator(Locator):
def __init__(self, presets=None, wcs=False, coord='x', farside=False, minor=False, subticks=5):
if presets is None:
self.presets = {}
else:
self.presets = presets
self._wcs = wcs
self.coord = coord
self.farside = farside
self.minor = minor
self.subticks = subticks
def __call__(self):
self.coord_type = self._wcs.xaxis_coord_type if self.coord == 'x' else self._wcs.yaxis_coord_type
ymin, ymax = self.axis.get_axes().yaxis.get_view_interval()
xmin, xmax = self.axis.get_axes().xaxis.get_view_interval()
if self.axis.apl_auto_tick_spacing:
self.axis.apl_tick_spacing = default_spacing(self.axis.get_axes(), self.coord, self.axis.apl_label_form)
if self.axis.apl_tick_spacing is None:
self.axis.apl_tick_positions_pix = []
self.axis.apl_tick_positions_world = []
return []
if self.coord_type in ['longitude', 'latitude']:
tick_spacing = self.axis.apl_tick_spacing.todegrees()
else:
tick_spacing = self.axis.apl_tick_spacing
if self.minor:
tick_spacing /= float(self.subticks)
px, py, wx = tick_positions(self._wcs, tick_spacing, self.coord, self.coord, farside=self.farside, xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax, mode='xscaled')
px, py, wx = np.array(px, float), np.array(py, float), np.array(wx, int)
if self.minor:
keep = np.mod(wx, self.subticks) > 0
px, py, wx = px[keep], py[keep], wx[keep] / float(self.subticks)
self.axis.apl_tick_positions_world = np.array(wx, int)
if self.coord == 'x':
self.axis.apl_tick_positions_pix = px
else:
self.axis.apl_tick_positions_pix = py
return self.axis.apl_tick_positions_pix
def default_spacing(ax, coord, format):
wcs = ax._wcs
xmin, xmax = ax.xaxis.get_view_interval()
ymin, ymax = ax.yaxis.get_view_interval()
px, py, wx, wy = axis_positions(wcs, coord, False, xmin=xmin, xmax=xmax, ymin=ymin, ymax=ymax)
# Keep only pixels that fall inside the sky. This will only really work
# for PyWCS 0.11 or more recent
keep = ~np.isnan(wx) & ~np.isnan(wy)
if np.sum(keep) == 0:
return None
else:
px = px[keep]
py = py[keep]
wx = wx[keep]
wy = wy[keep]
coord_type = wcs.xaxis_coord_type if coord == 'x' else wcs.yaxis_coord_type
if coord == 'x':
# The following is required because PyWCS 0.10 and earlier did not return
# NaNs for positions outside the sky, but instead returned an array with
# all the same world coordinates regardless of input pixel coordinates.
if len(wx) > 1 and len(np.unique(wx)) == 1:
return None
if coord_type in ['longitude', 'latitude']:
if coord_type == 'longitude':
wxmin, wxmax = math_util.smart_range(wx)
else:
wxmin, wxmax = min(wx), max(wx)
if 'd.' in format:
spacing = au.smart_round_angle_decimal((wxmax - wxmin) / 5., latitude=coord_type == 'latitude')
else:
spacing = au.smart_round_angle_sexagesimal((wxmax - wxmin) / 5., latitude=coord_type == 'latitude', hours='hh' in format)
else:
wxmin, wxmax = np.min(wx), np.max(wx)
spacing = su.smart_round_angle_decimal((wxmax - wxmin) / 5.)
else:
# The following is required because PyWCS 0.10 and earlier did not return
# NaNs for positions outside the sky, but instead returned an array with
# all the same world coordinates regardless of input pixel coordinates.
if len(wy) > 1 and len(np.unique(wy)) == 1:
return None
if coord_type in ['longitude', 'latitude']:
if coord_type == 'longitude':
wymin, wymax = math_util.smart_range(wy)
else:
wymin, wymax = min(wy), max(wy)
if 'd.' in format:
spacing = au.smart_round_angle_decimal((wymax - wymin) / 5., latitude=coord_type == 'latitude')
else:
spacing = au.smart_round_angle_sexagesimal((wymax - wymin) / 5., latitude=coord_type == 'latitude', hours='hh' in format)
else:
wymin, wymax = np.min(wy), np.max(wy)
spacing = su.smart_round_angle_decimal((wymax - wymin) / 5.)
# Find minimum spacing allowed by labels
if coord_type in ['longitude', 'latitude']:
min_spacing = au._get_label_precision(format, latitude=coord_type == 'latitude')
if min_spacing.todegrees() > spacing.todegrees():
return min_spacing
else:
return spacing
else:
min_spacing = su._get_label_precision(format)
if min_spacing is not None and min_spacing > spacing:
return min_spacing
else:
return spacing
def tick_positions(wcs, spacing, axis, coord, farside=False,
xmin=False, xmax=False, ymin=False, ymax=False,
mode='xscaled'):
'''
Find positions of ticks along a given axis.
Parameters
----------
wcs : ~aplpy.wcs_util.WCS
The WCS instance for the image.
spacing : float
The spacing along the axis.
axis : { 'x', 'y' }
The axis along which we are looking for ticks.
coord : { 'x', 'y' }
The coordinate for which we are looking for ticks.
farside : bool, optional
Whether we are looking on the left or bottom axes (False) or the
right or top axes (True).
xmin, xmax, ymin, ymax : float, optional
The range of pixel values covered by the image.
mode : { 'xy', 'xscaled' }, optional
If set to 'xy' the function returns the world coordinates of the
ticks. If 'xscaled', then only the coordinate requested is
returned, in units of the tick spacing.
'''
(px, py, wx, wy) = axis_positions(wcs, axis, farside, xmin, xmax, ymin, ymax)
if coord == 'x':
warr, walt = wx, wy
else:
warr, walt = wy, wx
# Check for 360 degree transition, and if encountered,
# change the values so that there is continuity
if (coord == 'x' and wcs.xaxis_coord_type == 'longitude') or \
(coord == 'y' and wcs.yaxis_coord_type == 'longitude'):
for i in range(0, len(warr) - 1):
if(abs(warr[i] - warr[i + 1]) > 180.):
if(warr[i] > warr[i + 1]):
warr[i + 1:] = warr[i + 1:] + 360.
else:
warr[i + 1:] = warr[i + 1:] - 360.
# Convert warr to units of the spacing, then ticks are at integer values
warr = warr / spacing
# Create empty arrays for tick positions
iall = []
wall = []
# Loop over ticks which lie in the range covered by the axis
for w in np.arange(np.floor(min(warr)), np.ceil(max(warr)), 1.):
# Find all the positions at which to interpolate
inter = np.where(((warr[:-1] <= w) & (warr[1:] > w)) | ((warr[:-1] > w) & (warr[1:] <= w)))[0]
# If there are any intersections, keep the indices, and the position
# of the interpolation
if len(inter) > 0:
iall.append(inter.astype(int))
wall.append(np.repeat(w, len(inter)).astype(float))
if len(iall) > 0:
iall = np.hstack(iall)
wall = np.hstack(wall)
else:
if mode == 'xscaled':
return [], [], []
else:
return [], [], [], []
# Now we can interpolate as needed
dwarr = warr[1:] - warr[:-1]
px_out = px[:-1][iall] + (px[1:][iall] - px[:-1][iall]) * (wall - warr[:-1][iall]) / dwarr[iall]
py_out = py[:-1][iall] + (py[1:][iall] - py[:-1][iall]) * (wall - warr[:-1][iall]) / dwarr[iall]
if mode == 'xscaled':
warr_out = wall
return px_out, py_out, warr_out
elif mode == 'xy':
warr_out = wall * spacing
walt_out = walt[:-1][iall] + (walt[1:][iall] - walt[:-1][iall]) * (wall - warr[:-1][iall]) / dwarr[iall]
if coord == 'x':
return px_out, py_out, warr_out, walt_out
else:
return px_out, py_out, walt_out, warr_out
def axis_positions(wcs, axis, farside, xmin=False, xmax=False,
ymin=False, ymax=False):
'''
Find the world coordinates of all pixels along an axis.
Parameters
----------
wcs : ~aplpy.wcs_util.WCS
The WCS instance for the image.
axis : { 'x', 'y' }
The axis along which we are computing world coordinates.
farside : bool
Whether we are looking on the left or bottom axes (False) or the
right or top axes (True).
xmin, xmax, ymin, ymax : float, optional
The range of pixel values covered by the image
'''
if not xmin:
xmin = 0.5
if not xmax:
xmax = 0.5 + wcs.nx
if not ymin:
ymin = 0.5
if not ymax:
ymax = 0.5 + wcs.ny
# Check options
assert axis == 'x' or axis == 'y', "The axis= argument should be set to x or y"
# Generate an array of pixel values for the x-axis
if axis == 'x':
x_pix = np.linspace(xmin, xmax, 512)
y_pix = np.ones(np.shape(x_pix))
if(farside):
y_pix = y_pix * ymax
else:
y_pix = y_pix * ymin
else:
y_pix = np.linspace(ymin, ymax, 512)
x_pix = np.ones(np.shape(y_pix))
if(farside):
x_pix = x_pix * xmax
else:
x_pix = x_pix * xmin
# Convert these to world coordinates
x_world, y_world = wcs_util.pix2world(wcs, x_pix, y_pix)
return x_pix, y_pix, x_world, y_world
def coord_range(wcs):
'''
Find the range of coordinates that intersect the axes.
Parameters
----------
wcs : ~aplpy.wcs_util.WCS
The WCS instance for the image.
'''
x_pix, y_pix, x_world_1, y_world_1 = axis_positions(wcs, 'x', farside=False)
x_pix, y_pix, x_world_2, y_world_2 = axis_positions(wcs, 'x', farside=True)
x_pix, y_pix, x_world_3, y_world_3 = axis_positions(wcs, 'y', farside=False)
x_pix, y_pix, x_world_4, y_world_4 = axis_positions(wcs, 'y', farside=True)
x_world = np.hstack([x_world_1, x_world_2, x_world_3, x_world_4])
y_world = np.hstack([y_world_1, y_world_2, y_world_3, y_world_4])
x_min = min(x_world)
x_max = max(x_world)
y_min = min(y_world)
y_max = max(y_world)
return x_min, x_max, y_min, y_max
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