Add redirects from old locations

timhoffm · timhoffm · commit 985f018c23a5 · 2026-01-15T23:21:26.000+01:00
diff --git a/doc/release/prev_whats_new/whats_new_0.98.4.rst b/doc/release/prev_whats_new/whats_new_0.98.4.rst
@@ -138,7 +138,7 @@ psd amplitude scaling
 
 Ryan May did a lot of work to rationalize the amplitude scaling of
 :func:`~matplotlib.pyplot.psd` and friends.  See
-:doc:`/gallery/lines_bars_and_markers/psd_demo`.
+:doc:`/gallery/statistics/psd_demo`.
 The changes should increase MATLAB
 compatibility and increase scaling options.
 
diff --git a/galleries/examples/statistics/cohere.py b/galleries/examples/statistics/cohere.py
@@ -4,6 +4,8 @@
 =====================================
 
 An example showing how to plot the coherence of two signals using `~.Axes.cohere`.
+
+.. redirect-from:: /gallery/lines_bars_and_markers/cohere
 """
 import matplotlib.pyplot as plt
 import numpy as np
diff --git a/galleries/examples/statistics/csd_demo.py b/galleries/examples/statistics/csd_demo.py
@@ -4,6 +4,8 @@
 ============================
 
 Plot the cross spectral density (CSD) of two signals using `~.Axes.csd`.
+
+.. redirect-from:: /gallery/lines_bars_and_markers/csd_demo
 """
 import matplotlib.pyplot as plt
 import numpy as np
diff --git a/galleries/examples/statistics/psd_demo.py b/galleries/examples/statistics/psd_demo.py
@@ -8,6 +8,8 @@
 The PSD is a common plot in the field of signal processing. NumPy has
 many useful libraries for computing a PSD. Below we demo a few examples
 of how this can be accomplished and visualized with Matplotlib.
+
+.. redirect-from:: /gallery/lines_bars_and_markers/psd_demo
 """
 import matplotlib.pyplot as plt
 import numpy as np
diff --git a/galleries/examples/statistics/xcorr_acorr_demo.py b/galleries/examples/statistics/xcorr_acorr_demo.py
@@ -5,6 +5,8 @@
 
 Example use of cross-correlation (`~.Axes.xcorr`) and auto-correlation
 (`~.Axes.acorr`) plots.
+
+.. redirect-from:: /gallery/lines_bars_and_markers/xcorr_acorr_demo
 """
 import matplotlib.pyplot as plt
 import numpy as np
