"""
:copyright:
The PyGLImER development team (makus@gfz-potsdam.de).
:license:
GNU Lesser General Public License, Version 3
(https://www.gnu.org/copyleft/lesser.html)
:author:
Lucas Sawade (lsawade@princeton.edu)
Last Update: June 19, 2020
"""
from matplotlib.widgets import Slider
[docs]def set_sliderval_no_callback(slider: Slider, val):
"""
Set slider value to *val*
Parameters
----------
val : float
"""
xy = slider.poly.xy
if slider.orientation == 'vertical':
xy[1] = 0, val
xy[2] = 1, val
else:
xy[2] = val, 1
xy[3] = val, 0
slider.poly.xy = xy
slider.valtext.set_text(val)
if slider.drawon:
slider.ax.figure.canvas.draw_idle()
'''
class LineBuilder:
def __init__(self, line):
self.line = line
self.xs = list(line.get_xdata())
self.ys = list(line.get_ydata())
self.cid = line.figure.canvas.mpl_connect('button_press_event', self)
def __call__(self, event):
print('click', event)
if event.inaxes!=self.line.axes: return
self.xs.append(event.xdata)
self.ys.append(event.ydata)
self.line.set_data(self.xs, self.ys)
self.line.figure.canvas.draw()
fig = plt.figure()
ax = fig.add_subplot(111)
ax.set_title('click to build line segments')
line, = ax.plot([0], [0]) # empty line
linebuilder = LineBuilder(line)
plt.show()
def on_release(self, event):
'on release we reset the press data'
self.press = None
self.rect.figure.canvas.draw()
def disconnect(self):
'disconnect all the stored connection ids'
self.rect.figure.canvas.mpl_disconnect(self.cidpress)
self.rect.figure.canvas.mpl_disconnect(self.cidrelease)
self.rect.figure.canvas.mpl_disconnect(self.cidmotion)
fig = plt.figure()
ax = fig.add_subplot(111)
rects = ax.bar(range(10), 20*np.random.rand(10))
drs = []
for rect in rects:
dr = DraggableRectangle(rect)
dr.connect()
drs.append(dr)
plt.show()
"""
Illustrate the figure and axes enter and leave events by changing the
frame colors on enter and leave
"""
import matplotlib.pyplot as plt
def enter_axes(event):
print('enter_axes', event.inaxes)
event.inaxes.patch.set_facecolor('yellow')
event.canvas.draw()
def leave_axes(event):
print('leave_axes', event.inaxes)
event.inaxes.patch.set_facecolor('white')
event.canvas.draw()
def enter_figure(event):
print('enter_figure', event.canvas.figure)
event.canvas.figure.patch.set_facecolor('red')
event.canvas.draw()
def leave_figure(event):
print('leave_figure', event.canvas.figure)
event.canvas.figure.patch.set_facecolor('grey')
event.canvas.draw()
fig1 = plt.figure()
fig1.suptitle('mouse hover over figure or axes to trigger events')
ax1 = fig1.add_subplot(211)
ax2 = fig1.add_subplot(212)
fig1.canvas.mpl_connect('figure_enter_event', enter_figure)
fig1.canvas.mpl_connect('figure_leave_event', leave_figure)
fig1.canvas.mpl_connect('axes_enter_event', enter_axes)
fig1.canvas.mpl_connect('axes_leave_event', leave_axes)
fig2 = plt.figure()
fig2.suptitle('mouse hover over figure or axes to trigger events')
ax1 = fig2.add_subplot(211)
ax2 = fig2.add_subplot(212)
fig2.canvas.mpl_connect('figure_enter_event', enter_figure)
fig2.canvas.mpl_connect('figure_leave_event', leave_figure)
fig2.canvas.mpl_connect('axes_enter_event', enter_axes)
fig2.canvas.mpl_connect('axes_leave_event', leave_axes)
plt.show()
"""
compute the mean and stddev of 100 data sets and plot mean vs. stddev.
When you click on one of the mu, sigma points, plot the raw data from
the dataset that generated the mean and stddev
"""
import numpy as np
import matplotlib.pyplot as plt
X = np.random.rand(100, 1000)
xs = np.mean(X, axis=1)
ys = np.std(X, axis=1)
fig = plt.figure()
ax = fig.add_subplot(111)
ax.set_title('click on point to plot time series')
line, = ax.plot(xs, ys, 'o', picker=5) # 5 points tolerance
def onpick(event):
if event.artist!=line: return True
N = len(event.ind)
if not N: return True
figi = plt.figure()
for subplotnum, dataind in enumerate(event.ind):
ax = figi.add_subplot(N,1,subplotnum+1)
ax.plot(X[dataind])
ax.text(0.05, 0.9, 'mu=%1.3f\nsigma=%1.3f'%(xs[dataind], ys[dataind]),
transform=ax.transAxes, va='top')
ax.set_ylim(-0.5, 1.5)
figi.show()
return True
fig.canvas.mpl_connect('pick_event', onpick)
plt.show()
'''