Python mlab.specgram方法代碼示例

本文整理匯總了Python中matplotlib.mlab.specgram方法的典型用法代碼示例。如果您正苦於以下問題：Python mlab.specgram方法的具體用法？Python mlab.specgram怎麽用？Python mlab.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.mlab的用法示例。

在下文中一共展示了mlab.specgram方法的15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: test_specgram_auto

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import specgram [as 別名]
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)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:24，代碼來源:test_mlab.py

示例2: test_specgram_default

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import specgram [as 別名]
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)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:25，代碼來源:test_mlab.py

示例3: test_specgram_psd

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import specgram [as 別名]
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)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:24，代碼來源:test_mlab.py

示例4: test_specgram_complex

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import specgram [as 別名]
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)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:19，代碼來源:test_mlab.py

示例5: test_specgram_magnitude

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import specgram [as 別名]
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)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:23，代碼來源:test_mlab.py

示例6: test_specgram_phase

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import specgram [as 別名]
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])

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:18，代碼來源:test_mlab.py

示例7: test_specgram_auto_default_equal

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import specgram [as 別名]
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)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:22，代碼來源:test_mlab.py

示例8: test_specgram_auto_psd_equal

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import specgram [as 別名]
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)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:22，代碼來源:test_mlab.py

示例9: test_specgram_complex_mag_equivalent

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import specgram [as 別名]
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)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:22，代碼來源:test_mlab.py

示例10: test_specgram_complex_angle_equivalent

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import specgram [as 別名]
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)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:22，代碼來源:test_mlab.py

示例11: test_specgram_angle_phase_equivalent

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import specgram [as 別名]
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)

開發者ID:miloharper，項目名稱:neural-network-animation，代碼行數:23，代碼來源:test_mlab.py

示例12: test_specgram_auto

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import specgram [as 別名]
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)

開發者ID:holzschu，項目名稱:python3_ios，代碼行數:24，代碼來源:test_mlab.py

示例13: test_specgram_default

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import specgram [as 別名]
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)

開發者ID:holzschu，項目名稱:python3_ios，代碼行數:25，代碼來源:test_mlab.py

示例14: test_specgram_psd

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import specgram [as 別名]
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)

開發者ID:holzschu，項目名稱:python3_ios，代碼行數:24，代碼來源:test_mlab.py

示例15: test_specgram_complex

# 需要導入模塊: from matplotlib import mlab [as 別名]
# 或者: from matplotlib.mlab import specgram [as 別名]
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)

開發者ID:holzschu，項目名稱:python3_ios，代碼行數:19，代碼來源:test_mlab.py

注：本文中的matplotlib.mlab.specgram方法示例由純淨天空整理自Github/MSDocs等開源代碼及文檔管理平台，相關代碼片段篩選自各路編程大神貢獻的開源項目，源碼版權歸原作者所有，傳播和使用請參考對應項目的License；未經允許，請勿轉載。