• 设为首页
  • 点击收藏
  • 手机版
    手机扫一扫访问
    迪恩网络手机版
  • 关注官方公众号
    微信扫一扫关注
    迪恩网络公众号

Python cbook.safezip函数代码示例

原作者: [db:作者] 来自: [db:来源] 收藏 邀请

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。


鲜花

握手

雷人

路过

鸡蛋
该文章已有0人参与评论

请发表评论

全部评论

专题导读
上一篇:
Python cbook.silent_list函数代码示例发布时间:2022-05-27
下一篇:
Python cbook.safe_masked_invalid函数代码示例发布时间:2022-05-27
热门推荐
阅读排行榜

扫描微信二维码

查看手机版网站

随时了解更新最新资讯

139-2527-9053

在线客服(服务时间 9:00~18:00)

在线QQ客服
地址:深圳市南山区西丽大学城创智工业园
电邮:jeky_zhao#qq.com
移动电话:139-2527-9053

Powered by 互联科技 X3.4© 2001-2213 极客世界.|Sitemap