diff --git a/edisgo/tools/plots.py b/edisgo/tools/plots.py
index 381c7375..3a120778 100644
--- a/edisgo/tools/plots.py
+++ b/edisgo/tools/plots.py
@@ -6,7 +6,6 @@
 from typing import TYPE_CHECKING
 
 import matplotlib
-import matplotlib.cm as cm
 import numpy as np
 import pandas as pd
 import plotly.graph_objects as go
@@ -604,7 +603,7 @@ def nodes_by_costs(buses, grid_expansion_costs, edisgo_obj):
         bus_sizes, bus_colors = nodes_by_costs(
             pypsa_plot.buses.index, grid_expansion_costs, edisgo_obj
         )
-        bus_cmap = plt.cm.get_cmap(lines_cmap)
+        bus_cmap = matplotlib.pyplot.colormaps.get_cmap(lines_cmap)
     elif node_color == "curtailment":
         bus_sizes = nodes_curtailment(pypsa_plot.buses.index, curtailment_df)
         bus_colors = "orangered"
@@ -681,7 +680,8 @@ def nodes_by_costs(buses, grid_expansion_costs, edisgo_obj):
         line_width = pypsa_plot.lines.s_nom * scaling_factor_line_width
     else:
         line_width = 2
-    cmap = plt.cm.get_cmap(lines_cmap)
+    cmap = matplotlib.pyplot.colormaps.get_cmap(lines_cmap)
+
     ll = pypsa_plot.plot(
         line_colors=line_colors,
         line_cmap=cmap,
@@ -888,7 +888,7 @@ def color_map_color(
     """
     norm = matplotlib.colors.Normalize(vmin=vmin, vmax=vmax)
     if isinstance(cmap_name, str):
-        cmap = cm.get_cmap(cmap_name)
+        cmap = matplotlib.pyplot.colormaps.get_cmap(cmap_name)
     else:
         cmap = matplotlib.colors.LinearSegmentedColormap.from_list("mycmap", cmap_name)
     rgb = cmap(norm(abs(value)))[:3]