本文整理汇总了Python中matplotlib.widgets.SpanSelector方法的典型用法代码示例。如果您正苦于以下问题：Python widgets.SpanSelector方法的具体用法？Python widgets.SpanSelector怎么用？Python widgets.SpanSelector使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类matplotlib.widgets的用法示例。
在下文中一共展示了widgets.SpanSelector方法的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，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: configure_canvas
# 需要导入模块: from matplotlib import widgets [as 别名]
# 或者: from matplotlib.widgets import SpanSelector [as 别名]
def configure_canvas(self):
self.figure = Figure(dpi=100)
self.canvas = FigureCanvasTkAgg(self.figure, master=self)
self.axis = self.figure.add_subplot(111)
self.canvas.draw()
canvas_widget = self.canvas.get_tk_widget()
canvas_widget.grid(row=0, column=0, sticky=tk.N + tk.W + tk.E + tk.S)
self.canvas_cursor = Cursor(self.axis, tk.StringVar(master=self.root))
self.canvas.mpl_connect('motion_notify_event', self.canvas_cursor.mouse_move)
self.span = SpanSelector(
self.axis, self.zoom, 'horizontal', useblit=True,
rectprops=dict(alpha=0.5, facecolor='red'))
self.mz_span = None
self.scan = None
self.annotations = []
self.canvas.draw() 示例2: check_span
# 需要导入模块: from matplotlib import widgets [as 别名]
# 或者: from matplotlib.widgets import SpanSelector [as 别名]
def check_span(*args, **kwargs):
ax = get_ax()
def onselect(vmin, vmax):
ax._got_onselect = True
assert vmin == 100
assert vmax == 150
def onmove(vmin, vmax):
assert vmin == 100
assert vmax == 125
ax._got_on_move = True
if 'onmove_callback' in kwargs:
kwargs['onmove_callback'] = onmove
tool = widgets.SpanSelector(ax, onselect, *args, **kwargs)
do_event(tool, 'press', xdata=100, ydata=100, button=1)
do_event(tool, 'onmove', xdata=125, ydata=125, button=1)
do_event(tool, 'release', xdata=150, ydata=150, button=1)
assert ax._got_onselect
if 'onmove_callback' in kwargs:
assert ax._got_on_move 示例3: plot
# 需要导入模块: from matplotlib import widgets [as 别名]
# 或者: from matplotlib.widgets import SpanSelector [as 别名]
def plot(self):
# Prepare the data
data = self.locs[self.field]
data = data[np.isfinite(data)]
bins = lib.calculate_optimal_bins(data, 1000)
# Prepare the figure
self.figure.clear()
self.figure.suptitle(self.field)
axes = self.figure.add_subplot(111)
axes.hist(data, bins, rwidth=1, linewidth=0)
data_range = data.ptp()
axes.set_xlim(
[bins[0] - 0.05 * data_range, data.max() + 0.05 * data_range]
)
self.span = SpanSelector(
axes,
self.on_span_select,
"horizontal",
useblit=True,
rectprops=dict(facecolor="green", alpha=0.2),
)
self.canvas.draw()