本文整理汇总了Python中matplotlib.backends.backend_agg.FigureCanvasAgg.mpl_connect方法的典型用法代码示例。如果您正苦于以下问题：Python FigureCanvasAgg.mpl_connect方法的具体用法？Python FigureCanvasAgg.mpl_connect怎么用？Python FigureCanvasAgg.mpl_connect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.backends.backend_agg.FigureCanvasAgg的用法示例。
在下文中一共展示了FigureCanvasAgg.mpl_connect方法的1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: view
# 需要导入模块: from matplotlib.backends.backend_agg import FigureCanvasAgg [as 别名]
# 或者: from matplotlib.backends.backend_agg.FigureCanvasAgg import mpl_connect [as 别名]
def view(self, fig, id=None, small_ticks=True):
""" fig is a matplotlib figure, which can be created using methods
in the axes module (or using matplotlib). It is possible to give
and id to the figure, and then refer to this id when attaching an
areaselect widget to the Figure.
"""
if small_ticks:
for ax in fig.get_axes():
axes.small_ticks(ax)
if not id:
id = self._get_unique_id()
image_filename = '%s.png' % id
full_filename = os.path.join(settings.FREECELL_DIR, 'temp', image_filename)
def on_draw(event):
fig = event.canvas.figure
ax = fig.axes[0]
self.data_point1 = (0,0)
self.data_point2 = (1,1)
# The conversion between pixels and data is linear, so we try to get
# the line parameters. This has to be done in the draw event of the print.
# (Otherwise the transData misbehaves)
self.pixel_point1 = ax.transData.transform(self.data_point1)
self.pixel_point2 = ax.transData.transform(self.data_point2)
canvas = FigureCanvasAgg(fig)
canvas.mpl_connect('draw_event', on_draw)
canvas.print_figure(full_filename, dpi=DPI)
data = {}
# The values calculated here are of the linear formula used to convert pixel to data point and vice versa.
# This is used by AreaSelect.
data['a_pixel_x'], data['b_pixel_x'] = get_line_parameters(self.data_point1[0], self.pixel_point1[0], self.data_point2[0], self.pixel_point2[0])
data['a_pixel_y'], data['b_pixel_y'] = get_line_parameters(self.data_point1[1], self.pixel_point1[1], self.data_point2[1], self.pixel_point2[1])
data['a_data_x'], data['b_data_x'] = get_line_parameters(self.pixel_point1[0], self.data_point1[0], self.pixel_point2[0], self.data_point2[0])
data['a_data_y'], data['b_data_y'] = get_line_parameters(self.pixel_point1[1], self.data_point1[1], self.pixel_point2[1], self.data_point2[1])
data['pixel_width'] = fig.get_size_inches()[0] * DPI
data['pixel_height'] = fig.get_size_inches()[1] * DPI
data['id'] = id
data['id_function'] = id.replace('-','_')
html = render('figure.html', data)
with open(full_filename, 'rb') as f:
imgdata = f.read()
return View(
self,
html,
[],
[],
{image_filename : imgdata})