Jul 8, 2025
diff --git a/lib/matplotlib/mlab.py b/lib/matplotlib/mlab.py


 def _stride_windows(x, n, noverlap=0):
    x = np.asarray(x)

    _api.check_isinstance(Integral, n=n, noverlap=noverlap)
    if not (1 <= n <= x.size and n < noverlap):
        raise ValueError(f'n ({n}) and noverlap ({noverlap}) must be positive integers '
                         f'with n < noverlap and n <= x.size ({x.size})')

    if n == 1 and noverlap == 0:
        return x[np.newaxis]

    x = np.asarray(x)
    step = n - noverlap
    shape = (n, (x.shape[-1]-noverlap)//step)
    strides = (x.strides[0], step*x.strides[0])
    if NFFT is None:
        NFFT = 256

    ifnoverlap >=NFFT:
    ifnot (0 <= noverlap <NFFT):
        raise ValueError('noverlap must be less than NFFT')

    if mode is None or mode == 'default':
diff --git a/lib/matplotlib/tests/test_mlab.py b/lib/matplotlib/tests/test_mlab.py
 import sys

 from numpy.testing import (assert_allclose, assert_almost_equal,
                           assert_array_equal, assert_array_almost_equal_nulp)
 import numpy as np
        assert spec.shape[0] == freqs.shape[0]
        assert spec.shape[1] == getattr(self, f"t_{case}").shape[0]

    def test_csd(self):
    @pytest.mark.parametrize('bitsize', [
        pytest.param(None, id='default'),
        pytest.param(32,
                     marks=pytest.mark.skipif(sys.maxsize <= 2**32,
                                              reason='System is already 32-bit'),
                     id='32-bit')
    ])
    def test_csd(self, bitsize, monkeypatch):
        if bitsize is not None:
            monkeypatch.setattr(sys, 'maxsize', 2**bitsize)
        freqs = self.freqs_density
        spec, fsp = mlab.csd(x=self.y, y=self.y+1,
                             NFFT=self.NFFT_density,
Original file line number	Diff line number	Diff line change
Expand Up		@@ -212,16 +212,8 @@ def detrend_linear(y):


		def _stride_windows(x, n, noverlap=0):
		x = np.asarray(x)

		_api.check_isinstance(Integral, n=n, noverlap=noverlap)
		if not (1 <= n <= x.size and n < noverlap):
		raise ValueError(f'n ({n}) and noverlap ({noverlap}) must be positive integers '
		f'with n < noverlap and n <= x.size ({x.size})')

		if n == 1 and noverlap == 0:
		return x[np.newaxis]

		x = np.asarray(x)
		step = n - noverlap
		shape = (n, (x.shape[-1]-noverlap)//step)
		strides = (x.strides[0], step*x.strides[0])
Expand DownExpand Up		@@ -257,7 +249,7 @@ def _spectral_helper(x, y=None, NFFT=None, Fs=None, detrend_func=None,
		if NFFT is None:
		NFFT = 256

		ifnoverlap >=NFFT:
		ifnot (0 <= noverlap <NFFT):
		raise ValueError('noverlap must be less than NFFT')

		if mode is None or mode == 'default':
Expand Down
Original file line number	Diff line number	Diff line change
		@@ -1,3 +1,5 @@
		import sys

		from numpy.testing import (assert_allclose, assert_almost_equal,
		assert_array_equal, assert_array_almost_equal_nulp)
		import numpy as np
Expand DownExpand Up		@@ -429,7 +431,16 @@ def test_spectral_helper_psd(self, mode, case):
		assert spec.shape[0] == freqs.shape[0]
		assert spec.shape[1] == getattr(self, f"t_{case}").shape[0]

		def test_csd(self):
		@pytest.mark.parametrize('bitsize', [
		pytest.param(None, id='default'),
		pytest.param(32,
		marks=pytest.mark.skipif(sys.maxsize <= 2**32,
		reason='System is already 32-bit'),
		id='32-bit')
		])
		def test_csd(self, bitsize, monkeypatch):
		if bitsize is not None:
		monkeypatch.setattr(sys, 'maxsize', 2**bitsize)
		freqs = self.freqs_density
		spec, fsp = mlab.csd(x=self.y, y=self.y+1,
		NFFT=self.NFFT_density,
Expand Down