From 4a4b6582e5291618bf9d814823aac64f58b3c14a Mon Sep 17 00:00:00 2001
From: danibene <34680344+danibene@users.noreply.github.com>
Date: Sun, 19 May 2024 11:43:07 -0400
Subject: [PATCH] use "resampled"
 https://github.com/matplotlib/matplotlib/issues/20853

---
 neurokit2/complexity/entropy_phase.py     | 2 +-
 neurokit2/hrv/hrv_nonlinear.py            | 2 +-
 neurokit2/microstates/microstates_plot.py | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/neurokit2/complexity/entropy_phase.py b/neurokit2/complexity/entropy_phase.py
index 7867ad8edd..8a54bb5adc 100644
--- a/neurokit2/complexity/entropy_phase.py
+++ b/neurokit2/complexity/entropy_phase.py
@@ -123,7 +123,7 @@ def entropy_phase(signal, delay=1, k=4, show=False, **kwargs):
         Tx = Tx.astype(bool)
         Ys = np.sin(angles) * limx * np.sqrt(2)
         Xs = np.cos(angles) * limx * np.sqrt(2)
-        colors = plt.get_cmap("jet")(np.linspace(0, 1, k))
+        colors = plt.get_cmap("jet").resampled(k)
 
         plt.figure()
         for i in range(k):
diff --git a/neurokit2/hrv/hrv_nonlinear.py b/neurokit2/hrv/hrv_nonlinear.py
index b20e7ea711..cf7c6058a6 100644
--- a/neurokit2/hrv/hrv_nonlinear.py
+++ b/neurokit2/hrv/hrv_nonlinear.py
@@ -542,7 +542,7 @@ def _hrv_nonlinear_show(rri, rri_time=None, rri_missing=False, out={}, ax=None,
     kernel = scipy.stats.gaussian_kde(values)
     f = np.reshape(kernel(positions).T, xx.shape)
 
-    cmap = plt.get_cmap("Blues")(np.linspace(0, 1, 10))
+    cmap = plt.get_cmap("Blues").resampled(10)
     ax.contourf(xx, yy, f, cmap=cmap)
     ax.imshow(np.rot90(f), extent=[ax1_min, ax1_max, ax2_min, ax2_max], aspect="auto")
 
diff --git a/neurokit2/microstates/microstates_plot.py b/neurokit2/microstates/microstates_plot.py
index e550cf9e11..6b6c6ba322 100644
--- a/neurokit2/microstates/microstates_plot.py
+++ b/neurokit2/microstates/microstates_plot.py
@@ -99,7 +99,7 @@ def microstates_plot(microstates, segmentation=None, gfp=None, info=None, epoch=
     if epoch is None:
         epoch = (0, len(gfp))
 
-    cmap = plt.get_cmap("plasma")(np.linspace(0, 1, n))
+    cmap = plt.get_cmap("plasma").resampled(n)
     # Plot the GFP line above the area
     ax["GFP"].plot(
         times[epoch[0] : epoch[1]], gfp[epoch[0] : epoch[1]], color="black", linewidth=0.5