From 6b506b7dbc23579b977404c4a311070f3a3c537a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Simon=20H=C3=B8xbro=20Hansen?= <simon.hansen@me.com>
Date: Fri, 29 Sep 2023 12:50:06 +0200
Subject: [PATCH] Reverts changes I can't recreate

---
 holoviews/plotting/bokeh/annotation.py | 7 ++-----
 holoviews/plotting/bokeh/element.py    | 2 +-
 holoviews/plotting/bokeh/plot.py       | 2 +-
 holoviews/plotting/mpl/annotation.py   | 7 ++-----
 4 files changed, 6 insertions(+), 12 deletions(-)

diff --git a/holoviews/plotting/bokeh/annotation.py b/holoviews/plotting/bokeh/annotation.py
index 6c77964564..1bef23a4c1 100644
--- a/holoviews/plotting/bokeh/annotation.py
+++ b/holoviews/plotting/bokeh/annotation.py
@@ -4,7 +4,6 @@
 
 import param
 import numpy as np
-import pandas as pd
 
 from bokeh.models import BoxAnnotation, Span, Arrow, Slope
 from panel.models import HTML
@@ -69,11 +68,9 @@ def get_extents(self, element, ranges=None, range_type='combined', **kwargs):
         elif isinstance(element, VLines):
             extents = extents[0], np.nan, extents[2], np.nan
         elif isinstance(element, HSpans):
-            extents = pd.array(extents)  # Handle both nan and None
-            extents = np.nan, extents[:2].min(), np.nan, extents[2:].max()
+            extents = np.nan, min(extents[:2]), np.nan, max(extents[2:])
         elif isinstance(element, VSpans):
-            extents = pd.array(extents)  # Handle both nan and None
-            extents = extents[:2].min(), np.nan, extents[2:].max(), np.nan
+            extents = min(extents[:2]), np.nan, max(extents[2:]), np.nan
         return extents
 
 class HLinesAnnotationPlot(_SyntheticAnnotationPlot):
diff --git a/holoviews/plotting/bokeh/element.py b/holoviews/plotting/bokeh/element.py
index 51696e24b8..c1d20faa20 100644
--- a/holoviews/plotting/bokeh/element.py
+++ b/holoviews/plotting/bokeh/element.py
@@ -1767,7 +1767,7 @@ def _postprocess_hover(self, renderer, source):
             for k, values in source.data.items():
                 key = '@{%s}' % k
                 if ((isinstance(value, np.ndarray) and value.dtype.kind == 'M') or
-                    (len(values) and isinstance(next(iter(values)), util.datetime_types))):
+                    (len(values) and isinstance(values[0], util.datetime_types))):
                     hover.tooltips = [(l, f+'{%F %T}' if f == key else f) for l, f in hover.tooltips]
                     hover.formatters[key] = "datetime"
 
diff --git a/holoviews/plotting/bokeh/plot.py b/holoviews/plotting/bokeh/plot.py
index d6cb0c18f3..5ed81c0d86 100644
--- a/holoviews/plotting/bokeh/plot.py
+++ b/holoviews/plotting/bokeh/plot.py
@@ -131,7 +131,7 @@ def _postprocess_data(self, data):
             values = decode_bytes(values) # Bytes need decoding to strings
 
             # Certain datetime types need to be converted
-            if len(values) and isinstance(next(iter(values)), cftime_types):
+            if len(values) and isinstance(values[0], cftime_types):
                 if any(v.calendar not in _STANDARD_CALENDARS for v in values):
                     self.param.warning(
                         'Converting cftime.datetime from a non-standard '
diff --git a/holoviews/plotting/mpl/annotation.py b/holoviews/plotting/mpl/annotation.py
index 5a88c3ce12..1466c56b1e 100644
--- a/holoviews/plotting/mpl/annotation.py
+++ b/holoviews/plotting/mpl/annotation.py
@@ -1,7 +1,6 @@
 import param
 import numpy as np
 import matplotlib as mpl
-import pandas as pd
 
 from matplotlib import patches
 from matplotlib.lines import Line2D
@@ -313,11 +312,9 @@ def get_extents(self, element, ranges=None, range_type='combined', **kwargs):
         elif isinstance(element, VLines):
             extents = extents[0], np.nan, extents[2], np.nan
         elif isinstance(element, HSpans):
-            extents = pd.array(extents)  # Handle both nan and None
-            extents = np.nan, extents[:2].min(), np.nan, extents[2:].max()
+            extents = np.nan, min(extents[:2]), np.nan, max(extents[2:])
         elif isinstance(element, VSpans):
-            extents = pd.array(extents)  # Handle both nan and None
-            extents = extents[:2].min(), np.nan, extents[2:].max(), np.nan
+            extents = min(extents[:2]), np.nan, max(extents[2:]), np.nan
         return extents
 
     def initialize_plot(self, ranges=None):