本文整理汇总了Python中matplotlib.cbook.safezip函数的典型用法代码示例。如果您正苦于以下问题：Python safezip函数的具体用法？Python safezip怎么用？Python safezip使用的例子？那么恭喜您, 这里精选的函数代码示例或许可以为您提供帮助。
在下文中一共展示了safezip函数的3个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于我们的系统推荐出更棒的Python代码示例。
示例1: _init_legend_box
def _init_legend_box(self, handles, labels):
"""
Initiallize the legend_box. The legend_box is an instance of
the OffsetBox, which is packed with legend handles and
texts. Once packed, their location is calculated during the
drawing time.
"""
fontsize = self._fontsize
# legend_box is a HPacker, horizontally packed with
# columns. Each column is a VPacker, vertically packed with
# legend items. Each legend item is HPacker packed with
# legend handleBox and labelBox. handleBox is an instance of
# offsetbox.DrawingArea which contains legend handle. labelBox
# is an instance of offsetbox.TextArea which contains legend
# text.
text_list = [] # the list of text instances
handle_list = [] # the list of text instances
label_prop = dict(verticalalignment='baseline',
horizontalalignment='left',
fontproperties=self.prop,
)
labelboxes = []
handleboxes = []
# The approximate height and descent of text. These values are
# only used for plotting the legend handle.
descent = 0.35*self._approx_text_height()*(self.handleheight - 0.7)
# 0.35 and 0.7 are just heuristic numbers. this may need to be improbed
height = self._approx_text_height() * self.handleheight - descent
# each handle needs to be drawn inside a box of (x, y, w, h) =
# (0, -descent, width, height). And their corrdinates should
# be given in the display coordinates.
# The transformation of each handle will be automatically set
# to self.get_trasnform(). If the artist does not uses its
# default trasnform (eg, Collections), you need to
# manually set their transform to the self.get_transform().
legend_handler_map = self.get_legend_handler_map()
for orig_handle, lab in zip(handles, labels):
handler = self.get_legend_handler(legend_handler_map, orig_handle)
if handler is None:
warnings.warn("Legend does not support %s\nUse proxy artist instead.\n\nhttp://matplotlib.sourceforge.net/users/legend_guide.html#using-proxy-artist\n" % (str(orig_handle),))
handle_list.append(None)
continue
textbox = TextArea(lab, textprops=label_prop,
multilinebaseline=True, minimumdescent=True)
text_list.append(textbox._text)
labelboxes.append(textbox)
handlebox = DrawingArea(width=self.handlelength*fontsize,
height=height,
xdescent=0., ydescent=descent)
handle = handler(self, orig_handle, \
#xdescent, ydescent, width, height,
fontsize,
handlebox)
handle_list.append(handle)
handleboxes.append(handlebox)
if len(handleboxes) > 0:
# We calculate number of lows in each column. The first
# (num_largecol) columns will have (nrows+1) rows, and remaing
# (num_smallcol) columns will have (nrows) rows.
ncol = min(self._ncol, len(handleboxes))
nrows, num_largecol = divmod(len(handleboxes), ncol)
num_smallcol = ncol-num_largecol
# starting index of each column and number of rows in it.
largecol = safezip(range(0, num_largecol*(nrows+1), (nrows+1)),
[nrows+1] * num_largecol)
smallcol = safezip(range(num_largecol*(nrows+1), len(handleboxes), nrows),
[nrows] * num_smallcol)
else:
largecol, smallcol = [], []
handle_label = safezip(handleboxes, labelboxes)
columnbox = []
for i0, di in largecol+smallcol:
# pack handleBox and labelBox into itemBox
#.........这里部分代码省略.........
开发者ID:EnochManohar，项目名称:matplotlib，代码行数:101，代码来源:legend.py
示例2: _init_legend_box
def _init_legend_box(self, handles, labels, markerfirst=True):
"""
Initialize the legend_box. The legend_box is an instance of
the OffsetBox, which is packed with legend handles and
texts. Once packed, their location is calculated during the
drawing time.
"""
fontsize = self._fontsize
# legend_box is a HPacker, horizontally packed with
# columns. Each column is a VPacker, vertically packed with
# legend items. Each legend item is HPacker packed with
# legend handleBox and labelBox. handleBox is an instance of
# offsetbox.DrawingArea which contains legend handle. labelBox
# is an instance of offsetbox.TextArea which contains legend
# text.
text_list = [] # the list of text instances
handle_list = [] # the list of text instances
label_prop = dict(verticalalignment='baseline',
horizontalalignment='left',
fontproperties=self.prop,
)
labelboxes = []
handleboxes = []
# The approximate height and descent of text. These values are
# only used for plotting the legend handle.
descent = 0.35 * self._approx_text_height() * (self.handleheight - 0.7)
# 0.35 and 0.7 are just heuristic numbers and may need to be improved.
height = self._approx_text_height() * self.handleheight - descent
# each handle needs to be drawn inside a box of (x, y, w, h) =
# (0, -descent, width, height). And their coordinates should
# be given in the display coordinates.
# The transformation of each handle will be automatically set
# to self.get_trasnform(). If the artist does not use its
# default transform (e.g., Collections), you need to
# manually set their transform to the self.get_transform().
legend_handler_map = self.get_legend_handler_map()
for orig_handle, lab in zip(handles, labels):
handler = self.get_legend_handler(legend_handler_map, orig_handle)
if handler is None:
warnings.warn(
"Legend does not support {!r} instances.\nA proxy artist "
"may be used instead.\nSee: "
"http://matplotlib.org/users/legend_guide.html"
"#using-proxy-artist".format(orig_handle)
)
# We don't have a handle for this artist, so we just defer
# to None.
handle_list.append(None)
else:
textbox = TextArea(lab, textprops=label_prop,
multilinebaseline=True,
minimumdescent=True)
text_list.append(textbox._text)
labelboxes.append(textbox)
handlebox = DrawingArea(width=self.handlelength * fontsize,
height=height,
xdescent=0., ydescent=descent)
handleboxes.append(handlebox)
# Deprecate the old behaviour of accepting callable
# legend handlers in favour of the "legend_artist"
# interface.
if (not hasattr(handler, 'legend_artist') and
callable(handler)):
handler.legend_artist = handler.__call__
warn_deprecated('1.4',
('Legend handers must now implement a '
'"legend_artist" method rather than '
'being a callable.'))
# Create the artist for the legend which represents the
# original artist/handle.
handle_list.append(handler.legend_artist(self, orig_handle,
fontsize, handlebox))
if len(handleboxes) > 0:
# We calculate number of rows in each column. The first
# (num_largecol) columns will have (nrows+1) rows, and remaining
# (num_smallcol) columns will have (nrows) rows.
ncol = min(self._ncol, len(handleboxes))
nrows, num_largecol = divmod(len(handleboxes), ncol)
num_smallcol = ncol - num_largecol
# starting index of each column and number of rows in it.
largecol = safezip(list(xrange(0,
num_largecol * (nrows + 1),
(nrows + 1))),
[nrows + 1] * num_largecol)
smallcol = safezip(list(xrange(num_largecol * (nrows + 1),
#.........这里部分代码省略.........
开发者ID:BigheadLiu，项目名称:matplotlib，代码行数:101，代码来源:legend.py
示例3: _init_legend_box
#.........这里部分代码省略.........
legline = Line2D(xdata, ydata)
self._set_artist_props(legline)
legline.set_clip_box(None)
legline.set_clip_path(None)
lw = handle.get_linewidth()[0]
dashes = handle.get_dashes()[0]
color = handle.get_colors()[0]
legline.set_color(color)
legline.set_linewidth(lw)
legline.set_dashes(dashes)
handle_list.append(legline)
elif isinstance(handle, RegularPolyCollection):
#ydata = self._scatteryoffsets
ydata = height*self._scatteryoffsets
size_max, size_min = max(handle.get_sizes()),\
min(handle.get_sizes())
# we may need to scale these sizes by "markerscale"
# attribute. But other handle types does not seem
# to care about this attribute and it is currently ignored.
if self.scatterpoints < 4:
sizes = [.5*(size_max+size_min), size_max,
size_min]
else:
sizes = (size_max-size_min)*np.linspace(0,1,self.scatterpoints)+size_min
p = type(handle)(handle.get_numsides(),
rotation=handle.get_rotation(),
sizes=sizes,
offsets=zip(xdata_marker,ydata),
transOffset=self.get_transform(),
)
p.update_from(handle)
p.set_figure(self.figure)
p.set_clip_box(None)
p.set_clip_path(None)
handle_list.append(p)
else:
handle_list.append(None)
handlebox = DrawingArea(width=self.handlelength*fontsize,
height=height,
xdescent=0., ydescent=descent)
handle = handle_list[-1]
handlebox.add_artist(handle)
if hasattr(handle, "_legmarker"):
handlebox.add_artist(handle._legmarker)
handleboxes.append(handlebox)
# We calculate number of lows in each column. The first
# (num_largecol) columns will have (nrows+1) rows, and remaing
# (num_smallcol) columns will have (nrows) rows.
nrows, num_largecol = divmod(len(handleboxes), self._ncol)
num_smallcol = self._ncol-num_largecol
# starting index of each column and number of rows in it.
largecol = safezip(range(0, num_largecol*(nrows+1), (nrows+1)),
[nrows+1] * num_largecol)
smallcol = safezip(range(num_largecol*(nrows+1), len(handleboxes), nrows),
[nrows] * num_smallcol)
handle_label = safezip(handleboxes, labelboxes)
columnbox = []
for i0, di in largecol+smallcol:
# pack handleBox and labelBox into itemBox
itemBoxes = [HPacker(pad=0,
sep=self.handletextpad*fontsize,
children=[h, t], align="baseline")
for h, t in handle_label[i0:i0+di]]
# minimumdescent=False for the text of the last row of the column
itemBoxes[-1].get_children()[1].set_minimumdescent(False)
# pack columnBox
columnbox.append(VPacker(pad=0,
sep=self.labelspacing*fontsize,
align="baseline",
children=itemBoxes))
if self._mode == "expand":
mode = "expand"
else:
mode = "fixed"
sep = self.columnspacing*fontsize
self._legend_box = HPacker(pad=self.borderpad*fontsize,
sep=sep, align="baseline",
mode=mode,
children=columnbox)
self._legend_box.set_figure(self.figure)
self.texts = text_list
self.legendHandles = handle_list
开发者ID:08s011003，项目名称:nupic，代码行数:101，代码来源:legend.py
注：本文中的matplotlib.cbook.safezip函数示例由纯净天空整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。 |
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