本文整理匯總了Python中matplotlib.axes.Axes.specgram方法的典型用法代碼示例。如果您正苦於以下問題：Python Axes.specgram方法的具體用法？Python Axes.specgram怎麽用？Python Axes.specgram使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類matplotlib.axes.Axes的用法示例。
在下文中一共展示了Axes.specgram方法的5個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: specgram
# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import specgram [as 別名]
def specgram(x, NFFT=256, Fs=2, Fc=0, detrend=mlab.detrend_none,
window=mlab.window_hanning, noverlap=128, cmap=None, xextent=None,
pad_to=None, sides='default', scale_by_freq=None, hold=None,
**kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.specgram(x, NFFT=NFFT, Fs=Fs, Fc=Fc, detrend=detrend,
window=window, noverlap=noverlap, cmap=cmap,
xextent=xextent, pad_to=pad_to, sides=sides,
scale_by_freq=scale_by_freq, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
sci(ret[-1])
return ret
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost 示例2: specgram
# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import specgram [as 別名]
def specgram(x, NFFT=None, Fs=None, Fc=None, detrend=None, window=None,
noverlap=None, cmap=None, xextent=None, pad_to=None, sides=None,
scale_by_freq=None, mode=None, scale=None, vmin=None, vmax=None,
hold=None, **kwargs):
ax = gca()
# allow callers to override the hold state by passing hold=True|False
washold = ax.ishold()
if hold is not None:
ax.hold(hold)
try:
ret = ax.specgram(x, NFFT=NFFT, Fs=Fs, Fc=Fc, detrend=detrend,
window=window, noverlap=noverlap, cmap=cmap,
xextent=xextent, pad_to=pad_to, sides=sides,
scale_by_freq=scale_by_freq, mode=mode, scale=scale,
vmin=vmin, vmax=vmax, **kwargs)
draw_if_interactive()
finally:
ax.hold(washold)
sci(ret[-1])
return ret
# This function was autogenerated by boilerplate.py. Do not edit as
# changes will be lost 示例3: specgram
# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import specgram [as 別名]
def specgram(
x, NFFT=None, Fs=None, Fc=None, detrend=None, window=None,
noverlap=None, cmap=None, xextent=None, pad_to=None,
sides=None, scale_by_freq=None, mode=None, scale=None,
vmin=None, vmax=None, *, data=None, **kwargs):
__ret = gca().specgram(
x, NFFT=NFFT, Fs=Fs, Fc=Fc, detrend=detrend, window=window,
noverlap=noverlap, cmap=cmap, xextent=xextent, pad_to=pad_to,
sides=sides, scale_by_freq=scale_by_freq, mode=mode,
scale=scale, vmin=vmin, vmax=vmax, **({"data": data} if data
is not None else {}), **kwargs)
sci(__ret[-1])
return __ret
# Autogenerated by boilerplate.py. Do not edit as changes will be lost. 示例4: specgram
# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import specgram [as 別名]
def specgram(
x, NFFT=None, Fs=None, Fc=None, detrend=None, window=None,
noverlap=None, cmap=None, xextent=None, pad_to=None,
sides=None, scale_by_freq=None, mode=None, scale=None,
vmin=None, vmax=None, *, data=None, **kwargs):
__ret = gca().specgram(
x=x, NFFT=NFFT, Fs=Fs, Fc=Fc, detrend=detrend, window=window,
noverlap=noverlap, cmap=cmap, xextent=xextent, pad_to=pad_to,
sides=sides, scale_by_freq=scale_by_freq, mode=mode,
scale=scale, vmin=vmin, vmax=vmax, data=data, **kwargs)
sci(__ret[-1])
return __ret
# Autogenerated by boilerplate.py. Do not edit as changes will be lost. 示例5: specgram
# 需要導入模塊: from matplotlib.axes import Axes [as 別名]
# 或者: from matplotlib.axes.Axes import specgram [as 別名]
def specgram(x, NFFT=None, Fs=None, Fc=None, detrend=None, window=None,
noverlap=None, cmap=None, xextent=None, pad_to=None, sides=None,
scale_by_freq=None, mode=None, scale=None, vmin=None, vmax=None,
hold=None, data=None, **kwargs):
ax = gca()
# Deprecated: allow callers to override the hold state
# by passing hold=True|False
washold = ax._hold
if hold is not None:
ax._hold = hold
from matplotlib.cbook import mplDeprecation
warnings.warn("The 'hold' keyword argument is deprecated since 2.0.",
mplDeprecation)
try:
ret = ax.specgram(x, NFFT=NFFT, Fs=Fs, Fc=Fc, detrend=detrend,
window=window, noverlap=noverlap, cmap=cmap,
xextent=xextent, pad_to=pad_to, sides=sides,
scale_by_freq=scale_by_freq, mode=mode, scale=scale,
vmin=vmin, vmax=vmax, data=data, **kwargs)
finally:
ax._hold = washold
sci(ret[-1])
return ret
# Autogenerated by boilerplate.py. Do not edit as changes will be lost.