本文整理汇总了Python中matplotlib.pylab.ion方法的典型用法代码示例。如果您正苦于以下问题：Python pylab.ion方法的具体用法？Python pylab.ion怎么用？Python pylab.ion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.pylab的用法示例。
在下文中一共展示了pylab.ion方法的4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: plotallfuncs
# 需要导入模块: from matplotlib import pylab [as 别名]
# 或者: from matplotlib.pylab import ion [as 别名]
def plotallfuncs(allfuncs=allfuncs):
from matplotlib import pylab as pl
pl.ioff()
nnt = NNTester(npoints=1000)
lpt = LinearTester(npoints=1000)
for func in allfuncs:
print(func.title)
nnt.plot(func, interp=False, plotter='imshow')
pl.savefig('%s-ref-img.png' % func.func_name)
nnt.plot(func, interp=True, plotter='imshow')
pl.savefig('%s-nn-img.png' % func.func_name)
lpt.plot(func, interp=True, plotter='imshow')
pl.savefig('%s-lin-img.png' % func.func_name)
nnt.plot(func, interp=False, plotter='contour')
pl.savefig('%s-ref-con.png' % func.func_name)
nnt.plot(func, interp=True, plotter='contour')
pl.savefig('%s-nn-con.png' % func.func_name)
lpt.plot(func, interp=True, plotter='contour')
pl.savefig('%s-lin-con.png' % func.func_name)
pl.ion() 示例2: plotallfuncs
# 需要导入模块: from matplotlib import pylab [as 别名]
# 或者: from matplotlib.pylab import ion [as 别名]
def plotallfuncs(allfuncs=allfuncs):
from matplotlib import pylab as pl
pl.ioff()
nnt = NNTester(npoints=1000)
lpt = LinearTester(npoints=1000)
for func in allfuncs:
print(func.title)
nnt.plot(func, interp=False, plotter='imshow')
pl.savefig('%s-ref-img.png' % func.__name__)
nnt.plot(func, interp=True, plotter='imshow')
pl.savefig('%s-nn-img.png' % func.__name__)
lpt.plot(func, interp=True, plotter='imshow')
pl.savefig('%s-lin-img.png' % func.__name__)
nnt.plot(func, interp=False, plotter='contour')
pl.savefig('%s-ref-con.png' % func.__name__)
nnt.plot(func, interp=True, plotter='contour')
pl.savefig('%s-nn-con.png' % func.__name__)
lpt.plot(func, interp=True, plotter='contour')
pl.savefig('%s-lin-con.png' % func.__name__)
pl.ion() 示例3: __init__
# 需要导入模块: from matplotlib import pylab [as 别名]
# 或者: from matplotlib.pylab import ion [as 别名]
def __init__(self):
self.rewards = 10 * [np.nan]
self.rewards_bounds = [-10, 10]
self.last_success = None
plt.ion()
self._fig = plt.figure(
figsize=(9, 12), num='Spriteworld', facecolor='white')
gs = gridspec.GridSpec(2, 1, height_ratios=[3, 1])
self._ax_image = plt.subplot(gs[0])
self._ax_image.axis('off')
self._ax_scalar = plt.subplot(gs[1])
self._ax_scalar.spines['right'].set_visible(False)
self._ax_scalar.spines['top'].set_visible(False)
self._ax_scalar.xaxis.set_ticks_position('bottom')
self._ax_scalar.yaxis.set_ticks_position('left')
self._setup_callbacks() 示例4: plot
# 需要导入模块: from matplotlib import pylab [as 别名]
# 或者: from matplotlib.pylab import ion [as 别名]
def plot(self, func, interp=True, plotter='imshow'):
import matplotlib as mpl
from matplotlib import pylab as pl
if interp:
lpi = self.interpolator(func)
z = lpi[self.yrange[0]:self.yrange[1]:complex(0, self.nrange),
self.xrange[0]:self.xrange[1]:complex(0, self.nrange)]
else:
y, x = np.mgrid[
self.yrange[0]:self.yrange[1]:complex(0, self.nrange),
self.xrange[0]:self.xrange[1]:complex(0, self.nrange)]
z = func(x, y)
z = np.where(np.isinf(z), 0.0, z)
extent = (self.xrange[0], self.xrange[1],
self.yrange[0], self.yrange[1])
pl.ioff()
pl.clf()
pl.hot() # Some like it hot
if plotter == 'imshow':
pl.imshow(np.nan_to_num(z), interpolation='nearest', extent=extent,
origin='lower')
elif plotter == 'contour':
Y, X = np.ogrid[
self.yrange[0]:self.yrange[1]:complex(0, self.nrange),
self.xrange[0]:self.xrange[1]:complex(0, self.nrange)]
pl.contour(np.ravel(X), np.ravel(Y), z, 20)
x = self.x
y = self.y
lc = mpl.collections.LineCollection(
np.array([((x[i], y[i]), (x[j], y[j]))
for i, j in self.tri.edge_db]),
colors=[(0, 0, 0, 0.2)])
ax = pl.gca()
ax.add_collection(lc)
if interp:
title = '%s Interpolant' % self.name
else:
title = 'Reference'
if hasattr(func, 'title'):
pl.title('%s: %s' % (func.title, title))
else:
pl.title(title)
pl.show()
pl.ion()