diff --git a/nimare/reports/figures.py b/nimare/reports/figures.py
index b5e7f3353..d8ad66aba 100644
--- a/nimare/reports/figures.py
+++ b/nimare/reports/figures.py
@@ -6,6 +6,7 @@
 import numpy as np
 import pandas as pd
 import plotly.express as px
+from matplotlib import colormaps
 from nilearn import datasets
 from nilearn.plotting import (
     plot_connectome,
@@ -211,7 +212,7 @@ def plot_coordinates(
     # Generate dictionary and array of colors for each unique ID
     ids = coordinates_df["study_id"].to_list()
     unq_ids = np.unique(ids)
-    cmap = plt.cm.get_cmap("tab20", len(unq_ids))
+    cmap = colormaps.get_cmap("tab20", len(unq_ids))
     colors_dict = {unq_id: mcolors.to_hex(cmap(i)) for i, unq_id in enumerate(unq_ids)}
     colors = [colors_dict[id_] for id_ in ids]
 
@@ -386,7 +387,7 @@ def plot_clusters(img, out_filename):
 
     # Define cmap depending on the number of clusters
     clust_ids = list(np.unique(img.get_fdata())[1:])
-    cmap = plt.cm.get_cmap("tab20", len(clust_ids))
+    cmap = colormaps.get_cmap("tab20", len(clust_ids))
 
     fig = plot_roi(
         img,