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我想有一个matplotlib图的例子,它可以打开一个新的窗口,在工具栏上的自定义按钮点击一些文本。
matplotlib plot工具栏支持customization。此示例在官方文档中提供:
import matplotlib.pyplot as plt
from matplotlib.backend_tools import ToolBase, ToolToggleBase
plt.rcParams['toolbar'] = 'toolmanager'
class ListTools(ToolBase):
"""List all the tools controlled by the `ToolManager`."""
default_keymap = 'm' # keyboard shortcut
description = 'List Tools'
def trigger(self, *args, **kwargs):
print('_' * 80)
fmt_tool = "{:12} {:45} {}".format
print(fmt_tool('Name (id)', 'Tool description', 'Keymap'))
print('-' * 80)
tools = self.toolmanager.tools
for name in sorted(tools):
if not tools[name].description:
continue
keys = ', '.join(sorted(self.toolmanager.get_tool_keymap(name)))
print(fmt_tool(name, tools[name].description, keys))
print('_' * 80)
fmt_active_toggle = "{0!s:12} {1!s:45}".format
print("Active Toggle tools")
print(fmt_active_toggle("Group", "Active"))
print('-' * 80)
for group, active in self.toolmanager.active_toggle.items():
print(fmt_active_toggle(group, active))
class GroupHideTool(ToolToggleBase):
"""Show lines with a given gid."""
default_keymap = 'S'
description = 'Show by gid'
default_toggled = True
def __init__(self, *args, gid, **kwargs):
self.gid = gid
super().__init__(*args, **kwargs)
def enable(self, *args):
self.set_lines_visibility(True)
def disable(self, *args):
self.set_lines_visibility(False)
def set_lines_visibility(self, state):
for ax in self.figure.get_axes():
for line in ax.get_lines():
if line.get_gid() == self.gid:
line.set_visible(state)
self.figure.canvas.draw()
fig = plt.figure()
plt.plot([1, 2, 3], gid='mygroup')
plt.plot([2, 3, 4], gid='unknown')
plt.plot([3, 2, 1], gid='mygroup')
# Add the custom tools that we created
fig.canvas.manager.toolmanager.add_tool('List', ListTools)
fig.canvas.manager.toolmanager.add_tool('Show', GroupHideTool, gid='mygroup')
# Add an existing tool to new group `foo`.
# It can be added as many times as we want
fig.canvas.manager.toolbar.add_tool('zoom', 'foo')
# Remove the forward button
fig.canvas.manager.toolmanager.remove_tool('forward')
# To add a custom tool to the toolbar at specific location inside
# the navigation group
fig.canvas.manager.toolbar.add_tool('Show', 'navigation', 1)
plt.show()
这将打开此图,您可以在其中隐藏/显示一些数据:
如何添加这样一个按钮,以便在新窗口中显示一些文本(关于绘图数据)?
1条答案
按热度按时间30byixjq1#
您可以修改matplotlib文档中提供的示例,以添加一个按钮,该按钮在一个新窗口中创建一个图形,其中只有文本。而且,一旦你再次点击相同的按钮,它关闭窗口。
参见下面的代码,我将实现的工具/按钮称为“Info”: