remove get_cmap from matplotlib

AlanLoh · Jun 20, 2024 · 12a10cd · 12a10cd
1 parent c5a8e2c
commit 12a10cd
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Showing 3 changed files with 4 additions and 5 deletions.
diff --git a/docs/source/io/xst_reading.rst b/docs/source/io/xst_reading.rst
@@ -133,7 +133,7 @@ enables the calibration table used during the BST observation).
 
 To compare the result, the selected BST data, the beamformed data 
 using the calibration table and without using it (setting
-``calibration="none"```) are displayed together:
+``calibration="none"`) are displayed together:
 
 .. code-block:: python
 

diff --git a/nenupy/astro/sky.py b/nenupy/astro/sky.py
@@ -39,12 +39,12 @@
 import dask.array as da
 from dask.diagnostics import ProgressBar
 
+import matplotlib as mpl
 import matplotlib.pyplot as plt
 from matplotlib import patheffects
 from matplotlib.colorbar import ColorbarBase
 from mpl_toolkits.axes_grid1.inset_locator import inset_axes
 import warnings
-from matplotlib.cm import get_cmap
 from matplotlib.ticker import LinearLocator
 from matplotlib.colors import Normalize
 
@@ -346,7 +346,7 @@ def plot(self, **kwargs):
                 warnings.simplefilter("ignore")
                 cb = ColorbarBase(
                     cax,
-                    cmap=get_cmap(name=cmap),
+                    cmap=mpl.colormaps[cmap],
                     orientation='vertical',
                     norm=Normalize(
                         vmin=vmin,

diff --git a/nenupy/io/xst.py b/nenupy/io/xst.py
@@ -39,7 +39,6 @@
 from matplotlib.colorbar import ColorbarBase
 from matplotlib.ticker import LinearLocator
 from matplotlib.colors import Normalize
-from matplotlib.cm import get_cmap
 from mpl_toolkits.axes_grid1.inset_locator import inset_axes
 import dask.array as da
 from dask.diagnostics import ProgressBar
@@ -1792,7 +1791,7 @@ def save_png(
         )
         cb = ColorbarBase(
             cax,
-            cmap=get_cmap(name=cmap),
+            cmap=mpl.colormaps[cmap],
             orientation="vertical",
             norm=Normalize(
                 vmin=nf_image_min,