Set zip strict=False in multiple plotting functions for backward compatibility

Author: shivamvishal

pandas/plotting/_core.py

@@ -964,7 +964,7 @@ def _get_call_args(backend_name: str, data: Series | DataFrame, args, kwargs):
             keyword_args = ", ".join(
                 [
                     f"{name}={value!r}"
-                    for (name, _), value in zip(arg_def, args, strict=True)
+                    for (name, _), value in zip(arg_def, args, strict=False)
                 ]
             )
             msg = (

pandas/plotting/_matplotlib/boxplot.py

@@ -321,7 +321,7 @@ def _grouped_plot_by_column(
 
     ax_values = []
 
-    for ax, col in zip(flatten_axes(axes), columns, strict=True):
+    for ax, col in zip(flatten_axes(axes), columns, strict=False):
         gp_col = grouped[col]
         keys, values = zip(*gp_col, strict=True)
         re_plotf = plotf(keys, values, ax, xlabel=xlabel, ylabel=ylabel, **kwargs)
@@ -530,7 +530,7 @@ def boxplot_frame_groupby(
             layout=layout,
         )
         data = {}
-        for (key, group), ax in zip(grouped, flatten_axes(axes), strict=True):
+        for (key, group), ax in zip(grouped, flatten_axes(axes), strict=False):
             d = group.boxplot(
                 ax=ax, column=column, fontsize=fontsize, rot=rot, grid=grid, **kwds
             )

pandas/plotting/_matplotlib/core.py

@@ -817,7 +817,7 @@ def _adorn_subplots(self, fig: Figure) -> None:
                             f"number of columns = {self.nseries}"
                         )
 
-                    for ax, title in zip(self.axes, self.title, strict=True):
+                    for ax, title in zip(self.axes, self.title, strict=False):
                         ax.set_title(title)
                 else:
                     fig.suptitle(self.title)

pandas/plotting/_matplotlib/hist.py

@@ -323,7 +323,7 @@ def _grouped_plot(
         naxes=naxes, figsize=figsize, sharex=sharex, sharey=sharey, ax=ax, layout=layout
     )
 
-    for ax, (key, group) in zip(flatten_axes(axes), grouped, strict=True):
+    for ax, (key, group) in zip(flatten_axes(axes), grouped, strict=False):
         if numeric_only and isinstance(group, ABCDataFrame):
             group = group._get_numeric_data()
         plotf(group, ax, **kwargs)
@@ -557,7 +557,7 @@ def hist_frame(
     )
     can_set_label = "label" not in kwds
 
-    for ax, col in zip(flatten_axes(axes), data.columns, strict=True):
+    for ax, col in zip(flatten_axes(axes), data.columns, strict=False):
         if legend and can_set_label:
             kwds["label"] = col
         ax.hist(data[col].dropna().values, bins=bins, **kwds)

pandas/plotting/_matplotlib/misc.py

@@ -266,7 +266,7 @@ def f(t):
     color_values = get_standard_colors(
         num_colors=len(classes), colormap=colormap, color_type="random", color=color
     )
-    colors = dict(zip(classes, color_values, strict=True))
+    colors = dict(zip(classes, color_values, strict=False))
     if ax is None:
         ax = plt.gca()
         ax.set_xlim(-np.pi, np.pi)