本文整理汇总了Python中matplotlib.mlab.specgram方法的典型用法代码示例。如果您正苦于以下问题：Python mlab.specgram方法的具体用法？Python mlab.specgram怎么用？Python mlab.specgram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模块matplotlib.mlab的用法示例。

在下文中一共展示了mlab.specgram方法的18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，您的评价将有助于我们的系统推荐出更棒的Python代码示例。

示例1: test_specgram_auto

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# 需要导入模块: from matplotlib import mlab [as 别名]

# 或者: from matplotlib.mlab import specgram [as 别名]

def test_specgram_auto(self):

freqs = self.freqs_specgram

spec, fsp, t = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides)

specm = np.mean(spec, axis=1)

assert_allclose(fsp, freqs, atol=1e-06)

assert_allclose(t, self.t_specgram, atol=1e-06)

assert_equal(spec.shape[0], freqs.shape[0])

assert_equal(spec.shape[1], self.t_specgram.shape[0])

# since we are using a single freq, all time slices

# should be about the same

if np.abs(spec.max()) != 0:

assert_allclose(np.diff(spec, axis=1).max()/np.abs(spec.max()), 0,

atol=1e-02)

self.check_freqs(specm, freqs, fsp, self.fstims)

开发者ID:miloharper，项目名称:neural-network-animation，代码行数:24，

示例2: test_specgram_default

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# 需要导入模块: from matplotlib import mlab [as 别名]

# 或者: from matplotlib.mlab import specgram [as 别名]

def test_specgram_default(self):

freqs = self.freqs_specgram

spec, fsp, t = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='default')

specm = np.mean(spec, axis=1)

assert_allclose(fsp, freqs, atol=1e-06)

assert_allclose(t, self.t_specgram, atol=1e-06)

assert_equal(spec.shape[0], freqs.shape[0])

assert_equal(spec.shape[1], self.t_specgram.shape[0])

# since we are using a single freq, all time slices

# should be about the same

if np.abs(spec.max()) != 0:

assert_allclose(np.diff(spec, axis=1).max()/np.abs(spec.max()), 0,

atol=1e-02)

self.check_freqs(specm, freqs, fsp, self.fstims)

开发者ID:miloharper，项目名称:neural-network-animation，代码行数:25，

示例3: test_specgram_psd

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# 需要导入模块: from matplotlib import mlab [as 别名]

# 或者: from matplotlib.mlab import specgram [as 别名]

def test_specgram_psd(self):

freqs = self.freqs_specgram

spec, fsp, t = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='psd')

specm = np.mean(spec, axis=1)

assert_allclose(fsp, freqs, atol=1e-06)

assert_allclose(t, self.t_specgram, atol=1e-06)

assert_equal(spec.shape[0], freqs.shape[0])

assert_equal(spec.shape[1], self.t_specgram.shape[0])

# since we are using a single freq, all time slices

# should be about the same

if np.abs(spec.max()) != 0:

assert_allclose(np.diff(spec, axis=1).max()/np.abs(spec.max()), 0,

atol=1e-02)

self.check_freqs(specm, freqs, fsp, self.fstims)

开发者ID:miloharper，项目名称:neural-network-animation，代码行数:24，

示例4: test_specgram_complex

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# 需要导入模块: from matplotlib import mlab [as 别名]

# 或者: from matplotlib.mlab import specgram [as 别名]

def test_specgram_complex(self):

freqs = self.freqs_specgram

spec, fsp, t = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='complex')

specm = np.mean(np.abs(spec), axis=1)

assert_allclose(fsp, freqs, atol=1e-06)

assert_allclose(t, self.t_specgram, atol=1e-06)

assert_equal(spec.shape[0], freqs.shape[0])

assert_equal(spec.shape[1], self.t_specgram.shape[0])

self.check_freqs(specm, freqs, fsp, self.fstims)

开发者ID:miloharper，项目名称:neural-network-animation，代码行数:19，

示例5: test_specgram_magnitude

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# 需要导入模块: from matplotlib import mlab [as 别名]

# 或者: from matplotlib.mlab import specgram [as 别名]

def test_specgram_magnitude(self):

freqs = self.freqs_specgram

spec, fsp, t = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='magnitude')

specm = np.mean(spec, axis=1)

assert_allclose(fsp, freqs, atol=1e-06)

assert_allclose(t, self.t_specgram, atol=1e-06)

assert_equal(spec.shape[0], freqs.shape[0])

assert_equal(spec.shape[1], self.t_specgram.shape[0])

# since we are using a single freq, all time slices

# should be about the same

if np.abs(spec.max()) != 0:

assert_allclose(np.diff(spec, axis=1).max()/np.abs(spec.max()), 0,

atol=1e-02)

self.check_freqs(specm, freqs, fsp, self.fstims)

开发者ID:miloharper，项目名称:neural-network-animation，代码行数:23，

示例6: test_specgram_phase

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# 需要导入模块: from matplotlib import mlab [as 别名]

# 或者: from matplotlib.mlab import specgram [as 别名]

def test_specgram_phase(self):

freqs = self.freqs_specgram

spec, fsp, t = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='phase')

specm = np.mean(spec, axis=1)

assert_allclose(fsp, freqs, atol=1e-06)

assert_allclose(t, self.t_specgram, atol=1e-06)

assert_equal(spec.shape[0], freqs.shape[0])

assert_equal(spec.shape[1], self.t_specgram.shape[0])

开发者ID:miloharper，项目名称:neural-network-animation，代码行数:18，

示例7: test_specgram_auto_default_equal

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# 需要导入模块: from matplotlib import mlab [as 别名]

# 或者: from matplotlib.mlab import specgram [as 别名]

def test_specgram_auto_default_equal(self):

'''test that mlab.specgram without mode and with mode 'default' and

'psd' are all the same'''

freqs = self.freqs_specgram

speca, freqspeca, ta = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides)

specb, freqspecb, tb = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='default')

assert_array_equal(speca, specb)

assert_array_equal(freqspeca, freqspecb)

assert_array_equal(ta, tb)

开发者ID:miloharper，项目名称:neural-network-animation，代码行数:22，

示例8: test_specgram_auto_psd_equal

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# 需要导入模块: from matplotlib import mlab [as 别名]

# 或者: from matplotlib.mlab import specgram [as 别名]

def test_specgram_auto_psd_equal(self):

'''test that mlab.specgram without mode and with mode 'default' and

'psd' are all the same'''

freqs = self.freqs_specgram

speca, freqspeca, ta = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides)

specc, freqspecc, tc = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='psd')

assert_array_equal(speca, specc)

assert_array_equal(freqspeca, freqspecc)

assert_array_equal(ta, tc)

开发者ID:miloharper，项目名称:neural-network-animation，代码行数:22，

示例9: test_specgram_complex_mag_equivalent

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# 需要导入模块: from matplotlib import mlab [as 别名]

# 或者: from matplotlib.mlab import specgram [as 别名]

def test_specgram_complex_mag_equivalent(self):

freqs = self.freqs_specgram

specc, freqspecc, tc = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='complex')

specm, freqspecm, tm = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='magnitude')

assert_array_equal(freqspecc, freqspecm)

assert_array_equal(tc, tm)

assert_allclose(np.abs(specc), specm, atol=1e-06)

开发者ID:miloharper，项目名称:neural-network-animation，代码行数:22，

示例10: test_specgram_complex_angle_equivalent

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# 需要导入模块: from matplotlib import mlab [as 别名]

# 或者: from matplotlib.mlab import specgram [as 别名]

def test_specgram_complex_angle_equivalent(self):

freqs = self.freqs_specgram

specc, freqspecc, tc = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='complex')

speca, freqspeca, ta = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='angle')

assert_array_equal(freqspecc, freqspeca)

assert_array_equal(tc, ta)

assert_allclose(np.angle(specc), speca, atol=1e-06)

开发者ID:miloharper，项目名称:neural-network-animation，代码行数:22，

示例11: test_specgram_angle_phase_equivalent

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# 需要导入模块: from matplotlib import mlab [as 别名]

# 或者: from matplotlib.mlab import specgram [as 别名]

def test_specgram_angle_phase_equivalent(self):

freqs = self.freqs_specgram

speca, freqspeca, ta = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='angle')

specp, freqspecp, tp = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='phase')

assert_array_equal(freqspeca, freqspecp)

assert_array_equal(ta, tp)

assert_allclose(np.unwrap(speca, axis=0), specp,

atol=1e-06)

开发者ID:miloharper，项目名称:neural-network-animation，代码行数:23，

示例12: test_specgram_auto

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# 需要导入模块: from matplotlib import mlab [as 别名]

# 或者: from matplotlib.mlab import specgram [as 别名]

def test_specgram_auto(self):

freqs = self.freqs_specgram

spec, fsp, t = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides)

specm = np.mean(spec, axis=1)

assert_allclose(fsp, freqs, atol=1e-06)

assert_allclose(t, self.t_specgram, atol=1e-06)

assert spec.shape[0] == freqs.shape[0]

assert spec.shape[1] == self.t_specgram.shape[0]

# since we are using a single freq, all time slices

# should be about the same

if np.abs(spec.max()) != 0:

assert_allclose(np.diff(spec, axis=1).max()/np.abs(spec.max()), 0,

atol=1e-02)

self.check_freqs(specm, freqs, fsp, self.fstims)

开发者ID:holzschu，项目名称:python3_ios，代码行数:24，

示例13: test_specgram_default

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# 需要导入模块: from matplotlib import mlab [as 别名]

# 或者: from matplotlib.mlab import specgram [as 别名]

def test_specgram_default(self):

freqs = self.freqs_specgram

spec, fsp, t = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='default')

specm = np.mean(spec, axis=1)

assert_allclose(fsp, freqs, atol=1e-06)

assert_allclose(t, self.t_specgram, atol=1e-06)

assert spec.shape[0] == freqs.shape[0]

assert spec.shape[1] == self.t_specgram.shape[0]

# since we are using a single freq, all time slices

# should be about the same

if np.abs(spec.max()) != 0:

assert_allclose(np.diff(spec, axis=1).max()/np.abs(spec.max()), 0,

atol=1e-02)

self.check_freqs(specm, freqs, fsp, self.fstims)

开发者ID:holzschu，项目名称:python3_ios，代码行数:25，

示例14: test_specgram_psd

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# 需要导入模块: from matplotlib import mlab [as 别名]

# 或者: from matplotlib.mlab import specgram [as 别名]

def test_specgram_psd(self):

freqs = self.freqs_specgram

spec, fsp, t = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='psd')

specm = np.mean(spec, axis=1)

assert_allclose(fsp, freqs, atol=1e-06)

assert_allclose(t, self.t_specgram, atol=1e-06)

assert spec.shape[0] == freqs.shape[0]

assert spec.shape[1] == self.t_specgram.shape[0]

# since we are using a single freq, all time slices

# should be about the same

if np.abs(spec.max()) != 0:

assert_allclose(np.diff(spec, axis=1).max()/np.abs(spec.max()), 0,

atol=1e-02)

self.check_freqs(specm, freqs, fsp, self.fstims)

开发者ID:holzschu，项目名称:python3_ios，代码行数:24，

示例15: test_specgram_complex

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# 需要导入模块: from matplotlib import mlab [as 别名]

# 或者: from matplotlib.mlab import specgram [as 别名]

def test_specgram_complex(self):

freqs = self.freqs_specgram

spec, fsp, t = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='complex')

specm = np.mean(np.abs(spec), axis=1)

assert_allclose(fsp, freqs, atol=1e-06)

assert_allclose(t, self.t_specgram, atol=1e-06)

assert spec.shape[0] == freqs.shape[0]

assert spec.shape[1] == self.t_specgram.shape[0]

self.check_freqs(specm, freqs, fsp, self.fstims)

开发者ID:holzschu，项目名称:python3_ios，代码行数:19，

示例16: test_specgram_magnitude

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# 需要导入模块: from matplotlib import mlab [as 别名]

# 或者: from matplotlib.mlab import specgram [as 别名]

def test_specgram_magnitude(self):

freqs = self.freqs_specgram

spec, fsp, t = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='magnitude')

specm = np.mean(spec, axis=1)

assert_allclose(fsp, freqs, atol=1e-06)

assert_allclose(t, self.t_specgram, atol=1e-06)

assert spec.shape[0] == freqs.shape[0]

assert spec.shape[1] == self.t_specgram.shape[0]

# since we are using a single freq, all time slices

# should be about the same

if np.abs(spec.max()) != 0:

assert_allclose(np.diff(spec, axis=1).max()/np.abs(spec.max()), 0,

atol=1e-02)

self.check_freqs(specm, freqs, fsp, self.fstims)

开发者ID:holzschu，项目名称:python3_ios，代码行数:23，

示例17: test_specgram_phase

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# 需要导入模块: from matplotlib import mlab [as 别名]

# 或者: from matplotlib.mlab import specgram [as 别名]

def test_specgram_phase(self):

freqs = self.freqs_specgram

spec, fsp, t = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='phase')

specm = np.mean(spec, axis=1)

assert_allclose(fsp, freqs, atol=1e-06)

assert_allclose(t, self.t_specgram, atol=1e-06)

assert spec.shape[0] == freqs.shape[0]

assert spec.shape[1] == self.t_specgram.shape[0]

开发者ID:holzschu，项目名称:python3_ios，代码行数:18，

示例18: test_specgram_complex_phase_equivalent

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# 需要导入模块: from matplotlib import mlab [as 别名]

# 或者: from matplotlib.mlab import specgram [as 别名]

def test_specgram_complex_phase_equivalent(self):

freqs = self.freqs_specgram

specc, freqspecc, tc = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='complex')

specp, freqspecp, tp = mlab.specgram(x=self.y,

NFFT=self.NFFT_specgram,

Fs=self.Fs,

noverlap=self.nover_specgram,

pad_to=self.pad_to_specgram,

sides=self.sides,

mode='phase')

assert_array_equal(freqspecc, freqspecp)

assert_array_equal(tc, tp)

assert_allclose(np.unwrap(np.angle(specc), axis=0), specp,

atol=1e-06)

开发者ID:holzschu，项目名称:python3_ios，代码行数:23，

注：本文中的matplotlib.mlab.specgram方法示例整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。