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mplot2d.py
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mplot2d.py
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"""
* This file is part of PYSLAM
*
* Copyright (C) 2016-present Luigi Freda <luigi dot freda at gmail dot com>
*
* PYSLAM is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* PYSLAM is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with PYSLAM. If not, see <http://www.gnu.org/licenses/>.
"""
import numpy as np
import matplotlib.pyplot as plt
# use mplotlib figure to draw in 2d dynamic data
kPlotSleep = 0.0001
class Mplot2d:
def __init__(self, xlabel='', ylabel='', title=''):
self.fig = plt.figure()
#self.ax = self.fig.gca(projection='3d')
self.ax = self.fig.gca()
if title is not '':
self.ax.set_title(title)
self.ax.set_xlabel(xlabel)
self.ax.set_ylabel(ylabel)
self.ax.grid()
#Autoscale on unknown axis and known lims on the other
self.ax.set_autoscaley_on(True)
self.axis_computed = False
self.xlim = [float("inf"),float("-inf")]
self.ylim = [float("inf"),float("-inf")]
self.handle_map = {}
self.setAxis()
def setAxis(self):
# self.ax.axis('equal')
# if self.axis_computed:
# self.ax.set_xlim(self.xlim)
# self.ax.set_ylim(self.ylim)
self.ax.legend()
self.ax.relim()
self.ax.autoscale_view()
#We need to draw *and* flush
self.fig.canvas.draw()
self.fig.canvas.flush_events()
def draw(self, xy_signal, name, color='r', marker='.'):
if name in self.handle_map:
handle = self.handle_map[name]
handle.set_xdata(np.append(handle.get_xdata(), xy_signal[0]))
handle.set_ydata(np.append(handle.get_ydata(), xy_signal[1]))
else:
handle, = self.ax.plot(xy_signal[0], xy_signal[1], c=color, marker=marker,label=name)
self.handle_map[name] = handle
def updateMinMax(self, np_signal):
xmax,ymax = np.amax(np_signal,axis=0)
xmin,ymin = np.amin(np_signal,axis=0)
cx = 0.5*(xmax+xmin)
cy = 0.5*(ymax+ymin)
if False:
# update maxs
if xmax > self.xlim[1]:
self.xlim[1] = xmax
if ymax > self.ylim[1]:
self.ylim[1] = ymax
# update mins
if xmin < self.xlim[0]:
self.xlim[0] = xmin
if ymin < self.ylim[0]:
self.ylim[0] = ymin
# make axis actually squared
if True:
smin = min(xmin,ymin)
smax = max(xmax,ymax)
delta = 0.5*(smax - smin)
self.xlim = [cx-delta,cx+delta]
self.ylim = [cy-delta,cy+delta]
self.axis_computed = True
def refresh(self):
self.setAxis()
plt.pause(kPlotSleep)