/usr/share/pyshared/spyderlib/widgets/figureoptions.py is in python-spyderlib 2.1.9-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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#
# Copyright © 2009-2010 Pierre Raybaut
# Licensed under the terms of the MIT License
# (see spyderlib/__init__.py for details)
"""Module that provides a GUI-based editor for matplotlib's figure options"""
from spyderlib.widgets.formlayout import fedit
from spyderlib.config import get_icon
import matplotlib.cm, matplotlib.image
from matplotlib.colors import rgb2hex, is_color_like
COLORMAPS = matplotlib.cm.datad.keys()
INTERPOLATIONS = matplotlib.image.AxesImage._interpd.keys()
LINESTYLES = {
'-': 'solid "-"',
'--': 'dashed "--"',
'-.': 'dash_dot "-."',
':': 'dotted ":"',
'none': 'None',
}
# LINESTYLES2 is required because the matplotlib API does not support the same linestyles for patches as for lines
LINESTYLES2 = {
'solid': 'solid -',
'dashed': 'dashed --',
'dashdot': 'dashdot -.',
'dotted': 'dotted :',
}
LEG_locs = {
0 : 'best 0',
1 : 'upper right 1',
2 : 'upper left 2',
3 : 'lower left 3',
4 : 'lower right 4',
5 : 'right 5',
6 : 'center left 6',
7 : 'center right 7',
8 : 'lower center 8',
9 : 'upper center 9',
10 : 'center 10',
}
MARKERS = {
'none': 'None',
'o': 'circle "o"',
'^': 'triangle_up "^"',
'v': 'triangle_down "v"',
'<': 'triangle_left "<"',
'>': 'triangle_right ">"',
's': 'square "s"',
'+': 'plus "+"',
'x': 'cross "x"',
'*': 'star "*"',
'D': 'diamond "D"',
'd': 'thin_diamond "d"',
'1': 'tripod_down "1"',
'2': 'tripod_up "2"',
'3': 'tripod_left "3"',
'4': 'tripod_right "4"',
'h': 'hexagon "h"',
'H': 'rotated_hexagon "H"',
'p': 'pentagon "p"',
'|': 'vertical_line "|"',
'_': 'horizontal_line "_"',
'.': 'dot "."',
',': 'pixel ","',
}
COLORS = {'b': '#0000ff', 'g': '#008000', 'r': '#ff0000', 'c': '#00ffff',
'm': '#ff00ff', 'y': '#ffff00', 'k': '#000000', 'w': '#ffffff'}
def col2hex(color):
"""Convert matplotlib color to hex"""
if isinstance(color, tuple) and len(color) == 3:
output = rgb2hex(color) #RGB tuple format
else :
output = COLORS.get(color, color)
return output
def figure_edit(axes, parent=None):
"""Edit matplotlib figure options"""
sep = (None, None) # separator
leg = axes.legend_
loc = 0 if (leg is None) else leg._loc
has_legend = (leg is not None)
has_curve = len(axes.get_lines()) > 0
has_image = len(axes.get_images()) > 0
has_patch = len(axes.patches) > 0
has_text = len(axes.texts) > 0
# Get / General
xmin, xmax = axes.get_xlim()
ymin, ymax = axes.get_ylim()
autoXY = (axes.get_autoscalex_on(), axes.get_autoscaley_on())
general = [('Title', axes.get_title()),
('AutoXY', [autoXY,
((0, 0), 'None'), ((1, 0), 'X only'), ((0, 1), 'Y only'), ((1, 1), 'All')]),
('Equal', axes.get_aspect()=='equal'),
('Legend', has_legend),
('Loc', [loc] + LEG_locs.items()),
sep,
(None, "<b>X-Axis</b>"),
('Min', xmin), ('Max', xmax),
('Label', axes.get_xlabel()),
('Scale', [axes.get_xscale(), 'linear', 'log']),
sep,
(None, "<b>Y-Axis</b>"),
('Min', ymin), ('Max', ymax),
('Label', axes.get_ylabel()),
('Scale', [axes.get_yscale(), 'linear', 'log'])
]
def get_class_name(obj, prefix="matplotlib.patches."):
"""returns the Class Name"""
return str(type(obj)).lstrip("<class '").lstrip(prefix).rstrip("'>")
if has_curve:
# Get / Curves
linedict = {}
for line in axes.get_lines():
label = line.get_label()
if label == '_nolegend_':
continue
linedict[label] = line
curves = []
linestyles = sorted(LINESTYLES.items())
markers = sorted(MARKERS.items(), key=lambda (k,v): (v,k))
curvelabels = sorted(linedict.keys())
for label in curvelabels:
line = linedict[label]
markevery = 1 if line.get_markevery() is None else line.get_markevery()
curvedata = [
('Label', label),
('Visible', line.get_visible()),
sep,
(None, '<b>Line</b>'),
('Style', [line.get_linestyle()] + linestyles),
('Width', line.get_linewidth()),
('Color', col2hex(line.get_color())),
sep,
(None, '<b>Marker</b>'),
('Style', [line.get_marker()] + markers),
('Size', line.get_markersize()),
('Facecolor', col2hex(line.get_markerfacecolor())),
('Edgecolor', col2hex(line.get_markeredgecolor())),
('Every', markevery),
]
curves.append([curvedata, label, ""])
if has_image:
# Get / Images
imagedict = {}
for image in axes.get_images():
label = image.get_label()
if label == '_nolegend_':
continue
imagedict[label] = image
images = []
interpolations = zip(INTERPOLATIONS, INTERPOLATIONS)
colormaps = zip(COLORMAPS, COLORMAPS)
imagelabels = sorted(imagedict.keys())
for label in imagelabels:
image = imagedict[label]
xmin, xmax, ymin, ymax = image.get_extent()
cmap_name = image.get_cmap().name
imagedata = [
('Label', label),
sep,
('Colormap', [cmap_name] + colormaps),
('Alpha', image.get_alpha()),
('Interpolation',
[image.get_interpolation()] + interpolations),
('Resize filter radius', image.get_filterrad()),
sep,
(None, '<b>Extent</b>'),
('xmin', xmin), ('xmax', xmax),
('ymin', ymin), ('ymax', ymax),
]
images.append([imagedata, label, ""])
if has_patch:
for i, elt in enumerate(axes.patches):
if elt.get_label()=='':
label=get_class_name(elt, prefix="matplotlib.patches.")
elt.set_label("_" + label.lower() + str(i).zfill(2))
patchdict = {}
linestyles = sorted(LINESTYLES2.items())
for patch in axes.patches:
label = patch.get_label()
patchdict[label] = patch
patches=[]
patchlabels = sorted(patchdict.keys())
for label in patchlabels:
patch = patchdict[label]
patchdata = [('Label', label),
('Zorder', patch.get_zorder()),
('Visible', patch.get_visible()),
sep,
(None, '<b>Patch Edge</b>'),
('Style', [patch.get_linestyle()] + linestyles),
('Width', patch.get_linewidth()),
('Edgecolor', col2hex(patch.get_edgecolor())),
sep,
(None, '<b>Patch Face</b>'),
('Fill', patch.get_fill()),
('Facecolor', col2hex(patch.get_facecolor())),
('Alpha', patch.get_alpha()),
]
patches.append([patchdata, label, ""])
if has_text:
for i, elt in enumerate(axes.texts):
if elt.get_label()=='':
label=get_class_name(elt, prefix="matplotlib.text.")
elt.set_label("_" + label.lower() + str(i).zfill(2))
textdict = {}
for text in axes.texts:
label = text.get_label()
textdict[label] = text
texts=[]
textlabels = sorted(textdict.keys())
for label in textlabels:
text = textdict[label]
xpos, ypos = text.get_position()
is_bold = (text.get_weight() == "bold")
fontcolor=text.get_color()
textdata = [ ('Label', label),
('Visible', text.get_visible()),
('Content', text.get_text()),
sep,
(None, '<b>Position</b>'),
('X', xpos),
('Y', ypos),
('Halign', [text.get_ha()] + ['left', 'center', 'right']),
('Valign', [text.get_va()] + ['top', 'center', 'bottom', 'baseline']),
sep,
(None, '<b>Style</b>'),
('Size', int(text.get_size())),
('Bold', is_bold),
('Color', col2hex(fontcolor)),
]
texts.append([textdata, label, ""])
datalist = [(general, "Axes", "")]
if has_curve:
datalist.append((curves, "Curves", ""))
if has_image:
datalist.append((images, "Images", ""))
if has_patch:
datalist.append((patches, "Patches", ""))
if has_text:
datalist.append((texts, "Texts", ""))
def apply_callback(data):
"""This function will be called to apply changes"""
def validate_color(value):
if not is_color_like(value): value='None'
return value
general = data[0]
ind = 0
if has_curve:
ind += 1
curves = data[ind]
if has_image:
ind += 1
images = data[ind]
if has_patch:
ind += 1
patches = data[ind]
if has_text:
ind += 1
texts = data[ind]
# Set / General
title, autoXY, equal, has_legend, loc, xmin, xmax, xlabel, \
xscale, ymin, ymax, ylabel, yscale = general
autoX, autoY = autoXY
axes.set_xscale(xscale)
axes.set_yscale(yscale)
axes.set_autoscalex_on(autoX)
axes.set_autoscaley_on(autoY)
axes.set_title(title)
axes.set_xlim(xmin, xmax)
axes.set_xlabel(xlabel)
axes.set_ylim(ymin, ymax)
axes.set_ylabel(ylabel)
if equal :
axes.set_aspect("equal")
else :
axes.set_aspect("auto")
has_label = False
if has_curve:
# Set / Curves
for index, curveopts in enumerate(curves):
line = linedict[curvelabels[index]]
label, visible, linestyle, linewidth, color, marker, \
markersize, markerfacecolor, markeredgecolor, markevery = curveopts
if not label.startswith('_') :
has_label=True
line.set_label(label)
line.set_visible(visible)
line.set_linestyle(linestyle)
line.set_linewidth(linewidth)
line.set_color(validate_color(color))
line.set_markeredgecolor(validate_color(markeredgecolor))
line.set_markerfacecolor(validate_color(markerfacecolor))
line.set_markersize(markersize)
if marker == 'none':
marker='None'
line.set_marker(marker)
markevery = markevery if markevery>0 else 1
line.set_markevery(markevery)
if has_image:
# Set / Images
for index, imageopts in enumerate(images):
image = imagedict[imagelabels[index]]
label, cmap_name, alpha, interpolation, \
filterrad, xmin, xmax, ymin, ymax = imageopts
image.set_label(label)
image.set_cmap(matplotlib.cm.get_cmap(cmap_name))
if alpha >= 0 and alpha <= 1:
# Ignoring invalid values
image.set_alpha(alpha)
image.set_interpolation(interpolation)
if filterrad > 0:
# Ignoring invalid values
image.set_filterrad(filterrad)
image.set_extent((xmin, xmax, ymin, ymax))
if has_patch:
for index, patch_elt in enumerate(patches):
patch = patchdict[patchlabels[index]]
label, zorder, visible, linestyle, linewidth, \
edgecolor, fill, facecolor, alpha = patch_elt
if not label.startswith('_') :
has_label = True
patch.set_label(label)
patch.set_zorder(zorder)
patch.set_visible(visible)
patch.set_ls(linestyle)
patch.set_lw(linewidth)
patch.set_fill(fill)
patch.set_alpha(alpha)
patch.set_ec(validate_color(edgecolor))
patch.set_fc(validate_color(facecolor))
if has_text:
for index, text_elt in enumerate(texts):
text = textdict[textlabels[index]]
label, visible, text_content, xpos, ypos, halign, \
valign, fontsize, is_bold, fontcolor = text_elt
text.set_label(label)
text.set_visible(visible)
text.set_text(text_content)
text.set_x(xpos)
text.set_y(ypos)
text.set_ha(halign)
text.set_va(valign)
if is_bold :
text.set_weight("bold")
else:
text.set_weight('normal')
text.set_size(fontsize)
text.set_color(validate_color(fontcolor))
if has_curve:
if has_legend and has_label:
axes.legend(loc=loc)
else:
axes.legend_ = None
elif has_legend:
axes.legend(loc=loc)
else:
axes.legend_ = None
# Redraw
if axes.get_legend() is not None:
axes.legend()
figure = axes.get_figure()
figure.canvas.draw()
data = fedit(datalist, title="Figure options", parent=parent,
icon=get_icon('options.svg'), apply=apply_callback)
if data is not None:
apply_callback(data)
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