Question

我使用pyplot显示最多30行的折线图。我想添加一种方法来快速显示和隐藏图表上的各个行。 Pyplot有一个菜单，您可以在其中编辑线条属性以更改颜色或样式，但是当您想要隐藏线条以隔离您感兴趣的线条时，它会相当笨拙。理想情况下，我想要使用图例上的复选框可显示和隐藏线条。（类似于在Paint.Net等图像编辑器中显示和隐藏图层）我不确定这是否可以通过pyplot实现，因此我对其他模块开放，只要它们在某种程度上易于分发。

Answer 1

如果您愿意，可以将回调连接到图例，这些图例会在点击时显示/隐藏线条。这里有一个简单的例子：http://matplotlib.org/examples/event_handling/legend_picking.html

这是一个“发烧友”的例子，无需手动指定线条和图例标记的关系即可使用（还有一些其他功能）。

import numpy as np
import matplotlib.pyplot as plt

def main():
    x = np.arange(10)
    fig, ax = plt.subplots()
    for i in range(1, 31):
        ax.plot(x, i * x, label=r'$y={}x$'.format(i))

    ax.legend(loc='upper left', bbox_to_anchor=(1.05, 1),
              ncol=2, borderaxespad=0)
    fig.subplots_adjust(right=0.55)
    fig.suptitle('Right-click to hide all\nMiddle-click to show all',
                 va='top', size='large')

    interactive_legend().show()

def interactive_legend(ax=None):
    if ax is None:
        ax = plt.gca()
    if ax.legend_ is None:
        ax.legend()

    return InteractiveLegend(ax.legend_)

class InteractiveLegend(object):
    def __init__(self, legend):
        self.legend = legend
        self.fig = legend.axes.figure

        self.lookup_artist, self.lookup_handle = self._build_lookups(legend)
        self._setup_connections()

        self.update()

    def _setup_connections(self):
        for artist in self.legend.texts + self.legend.legendHandles:
            artist.set_picker(10) # 10 points tolerance

        self.fig.canvas.mpl_connect('pick_event', self.on_pick)
        self.fig.canvas.mpl_connect('button_press_event', self.on_click)

    def _build_lookups(self, legend):
        labels = [t.get_text() for t in legend.texts]
        handles = legend.legendHandles
        label2handle = dict(zip(labels, handles))
        handle2text = dict(zip(handles, legend.texts))

        lookup_artist = {}
        lookup_handle = {}
        for artist in legend.axes.get_children():
            if artist.get_label() in labels:
                handle = label2handle[artist.get_label()]
                lookup_handle[artist] = handle
                lookup_artist[handle] = artist
                lookup_artist[handle2text[handle]] = artist

        lookup_handle.update(zip(handles, handles))
        lookup_handle.update(zip(legend.texts, handles))

        return lookup_artist, lookup_handle

    def on_pick(self, event):
        handle = event.artist
        if handle in self.lookup_artist:
            artist = self.lookup_artist[handle]
            artist.set_visible(not artist.get_visible())
            self.update()

    def on_click(self, event):
        if event.button == 3:
            visible = False
        elif event.button == 2:
            visible = True
        else:
            return

        for artist in self.lookup_artist.values():
            artist.set_visible(visible)
        self.update()

    def update(self):
        for artist in self.lookup_artist.values():
            handle = self.lookup_handle[artist]
            if artist.get_visible():
                handle.set_visible(True)
            else:
                handle.set_visible(False)
        self.fig.canvas.draw()

    def show(self):
        plt.show()

if __name__ == '__main__':
    main()

这使您可以单击图例项目以打开/关闭相应的艺术家。例如，你可以这样：

enter image description here

对此：

enter image description here

Answer 2

感谢您的发帖！我在上面扩展了该类，使其可以处理多个图例-例如，如果您正在使用子图。（我在这里分享它，因为我在其他地方找不到任何其他示例……对于其他人可能很方便……）

    class InteractiveLegend(object):
 def __init__(self):

  self.legends = []
  self.figures = []
  self.lookup_artists = []
  self.lookup_handles = []

  self.host = socket.gethostname()

def add_legends(self, legend):

  self.legends.append(legend)

def init_legends(self):

    for legend in self.legends:

      self.figures.append(legend.axes.figure)

      lookup_artist, lookup_handle = self._build_lookups(legend)

      #print("init", type(lookup))

      self.lookup_artists.append(lookup_artist)
      self.lookup_handles.append(lookup_handle)

    self._setup_connections()
    self.update()

def _setup_connections(self):

    for legend in self.legends:
      for artist in legend.texts + legend.legendHandles:
          artist.set_picker(10) # 10 points tolerance

    for figs in self.figures:
      figs.canvas.mpl_connect('pick_event', self.on_pick)
      figs.canvas.mpl_connect('button_press_event', self.on_click)

def _build_lookups(self, legend):
    labels = [t.get_text() for t in legend.texts]

    handles = legend.legendHandles
    label2handle = dict(zip(labels, handles))
    handle2text = dict(zip(handles, legend.texts))

    lookup_artist = {}
    lookup_handle = {}
    for artist in legend.axes.get_children():
        if artist.get_label() in labels:
            handle = label2handle[artist.get_label()]
            lookup_handle[artist] = handle
            lookup_artist[handle] = artist
            lookup_artist[handle2text[handle]] = artist

    lookup_handle.update(zip(handles, handles))
    lookup_handle.update(zip(legend.texts, handles))

    #print("build", type(lookup_handle))

    return lookup_artist, lookup_handle

def on_pick(self, event):

    #print event.artist
    handle = event.artist
    for lookup_artist in self.lookup_artists:
      if handle in lookup_artist:
          artist = lookup_artist[handle]
          artist.set_visible(not artist.get_visible())
          self.update()

def on_click(self, event):
    if event.button == 3:
        visible = False
    elif event.button == 2:
        visible = True
    else:
        return

    for lookup_artist in self.lookup_artists:
      for artist in lookup_artist.values():
          artist.set_visible(visible)
    self.update()

def update(self):
    for idx, lookup_artist in enumerate(self.lookup_artists):
      for artist in lookup_artist.values():
          handle = self.lookup_handles[idx][artist]
          if artist.get_visible():
              handle.set_visible(True)
          else:
              handle.set_visible(False)
      self.figures[idx].canvas.draw()

def show(self):
    plt.show()

按以下方式使用它：

leg1 = ax1.legend(loc='upper left', bbox_to_anchor=(1.05, 1), ncol=2, borderaxespad=0)
leg2 = ax2.legend(loc='upper left', bbox_to_anchor=(1.05, 1), ncol=2, borderaxespad=0)
fig.subplots_adjust(right=0.7)

interactive_legend = InteractiveLegend()

interactive_legend.add_legends(leg1)
interactive_legend.add_legends(leg2)
interactive_legend.init_legends()
interactive_legend.show()

Answer 3

受@JoeKington答案的启发，这是我使用的（经过稍微修改的版本，不需要ax, fig，但可以直接与plt.plot(...)一起使用；而且plt.legend()放在外面超出主要对象的范围）：

易于使用的示例pltinteractivelegend.py：

import numpy as np
import matplotlib.pyplot as plt

class InteractiveLegend(object):
    def __init__(self, legend=None):
        if legend == None:
            legend = plt.gca().get_legend()
        self.legend = legend
        self.fig = legend.axes.figure
        self.lookup_artist, self.lookup_handle = self._build_lookups(legend)
        self._setup_connections()
        self.update()
    def _setup_connections(self):
        for artist in self.legend.texts + self.legend.legendHandles:
            artist.set_picker(10) # 10 points tolerance
        self.fig.canvas.mpl_connect('pick_event', self.on_pick)
        self.fig.canvas.mpl_connect('button_press_event', self.on_click)
    def _build_lookups(self, legend):
        labels = [t.get_text() for t in legend.texts]
        handles = legend.legendHandles
        label2handle = dict(zip(labels, handles))
        handle2text = dict(zip(handles, legend.texts))
        lookup_artist = {}
        lookup_handle = {}
        for artist in legend.axes.get_children():
            if artist.get_label() in labels:
                handle = label2handle[artist.get_label()]
                lookup_handle[artist] = handle
                lookup_artist[handle] = artist
                lookup_artist[handle2text[handle]] = artist
        lookup_handle.update(zip(handles, handles))
        lookup_handle.update(zip(legend.texts, handles))
        return lookup_artist, lookup_handle
    def on_pick(self, event):
        handle = event.artist
        if handle in self.lookup_artist:
            artist = self.lookup_artist[handle]
            artist.set_visible(not artist.get_visible())
            self.update()
    def on_click(self, event):
        if event.button == 3:
            visible = False
        elif event.button == 2:
            visible = True
        else:
            return
        for artist in self.lookup_artist.values():
            artist.set_visible(visible)
        self.update()
    def update(self):
        for artist in self.lookup_artist.values():
            handle = self.lookup_handle[artist]
            if artist.get_visible():
                handle.set_visible(True)
            else:
                handle.set_visible(False)
        self.fig.canvas.draw()

if __name__ == '__main__':
    for i in range(20):
        plt.plot(np.random.randn(1000), label=i)
    plt.legend()    
    leg = InteractiveLegend()
    plt.show()

用作图书馆：

import numpy as np
import matplotlib.pyplot as plt
import pltinteractivelegend

for i in range(20):
    plt.plot(np.random.randn(1000), label=i)
plt.legend()    
leg = pltinteractivelegend.InteractiveLegend()  # mandatory: keep the object with leg = ...; else it won't work
plt.show()

显示一个pyplot人物后隐藏行

3 个答案: