本文整理汇总了Python中matplotlib.cm.hot方法的典型用法代码示例。如果您正苦于以下问题：Python cm.hot方法的具体用法？Python cm.hot怎么用？Python cm.hot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.cm的用法示例。
在下文中一共展示了cm.hot方法的5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: sci
# 需要导入模块: from matplotlib import cm [as 别名]
# 或者: from matplotlib.cm import hot [as 别名]
def sci(im):
"""
Set the current image. This image will be the target of colormap
commands like :func:`~matplotlib.pyplot.jet`,
:func:`~matplotlib.pyplot.hot` or
:func:`~matplotlib.pyplot.clim`). The current image is an
attribute of the current axes.
"""
gca()._sci(im)
## Any Artist ##
# (getp is simply imported) 示例2: hot
# 需要导入模块: from matplotlib import cm [as 别名]
# 或者: from matplotlib.cm import hot [as 别名]
def hot():
'''
set the default colormap to hot and apply to current image if any.
See help(colormaps) for more information
'''
rc('image', cmap='hot')
im = gci()
if im is not None:
im.set_cmap(cm.hot)
draw_if_interactive()
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost 示例3: hot
# 需要导入模块: from matplotlib import cm [as 别名]
# 或者: from matplotlib.cm import hot [as 别名]
def hot():
"""
Set the colormap to "hot".
This changes the default colormap as well as the colormap of the current
image if there is one. See ``help(colormaps)`` for more information.
"""
set_cmap("hot")
# Autogenerated by boilerplate.py. Do not edit as changes will be lost. 示例4: hot
# 需要导入模块: from matplotlib import cm [as 别名]
# 或者: from matplotlib.cm import hot [as 别名]
def hot():
"""
Set the colormap to "hot".
This changes the default colormap as well as the colormap of the current
image if there is one. See ``help(colormaps)`` for more information.
"""
set_cmap("hot")
# Autogenerated by boilerplate.py. Do not edit as changes will be lost. 示例5: _show_td_1d
# 需要导入模块: from matplotlib import cm [as 别名]
# 或者: from matplotlib.cm import hot [as 别名]
def _show_td_1d(TD, frame_rate=24, pre_compute_frames=True, repeat=False):
assert TD.dim != 1, f"Expected TD dimension to be 1. It was: {TD.dim}"
fig = plt.figure()
interval = 1e3 / frame_rate # in ms
x_dim = TD.x.max() + 1
tMax = TD.t.max()
tMin = TD.t.min()
pMax = TD.p.max() + 1
min_frame = int(np.floor(tMin / interval))
max_frame = int(np.ceil(tMax / interval)) + 1
# ignore pre_compute_frames
def animate(i):
fig.clear()
t_end = (i + min_frame + 1) * interval
ind = TD.t < t_end
# plot raster
plt.plot(TD.t[ind], TD.x[ind], ".")
# plt.plot(TD.t[ind], TD.x[ind], '.', c=cm.hot(TD.p[ind]))
# plot raster scan line
plt.plot([t_end + interval, t_end + interval], [0, x_dim])
plt.axis((tMin - 0.1 * tMax, 1.1 * tMax, -0.1 * x_dim, 1.1 * x_dim))
plt.draw()
anim = animation.FuncAnimation(
fig, animate, frames=max_frame, interval=42, repeat=repeat
) # 42 means playback at 23.809 fps
return anim