refactor: reuse to_unindexed_series

legendof-selda · legendof-selda · commit d4955b10ffa6 · 2023-06-13T22:59:47.000+05:30
diff --git a/packages/python/plotly/plotly/express/_core.py b/packages/python/plotly/plotly/express/_core.py
@@ -1272,12 +1272,12 @@ def process_args_into_dataframe(args, wide_mode, var_name, value_name):
 
     length = len(df_output[next(iter(df_output))]) if len(df_output) else 0
     df_output.update(
-        {col_name: pd.Series(range(length), name=col_name) for col_name in ranges}
+        {col_name: to_unindexed_series(range(length), col_name) for col_name in ranges}
     )
     df_output.update(
         {
             # constant is single value. repeat by len to avoid creating NaN on concating
-            col_name: pd.Series([constants[col_name]] * length, name=col_name)
+            col_name: to_unindexed_series([constants[col_name]] * length, col_name)
             for col_name in constants
         }
     )

Original file line number	Diff line number	Diff line change
`@@ -1272,12 +1272,12 @@ def process_args_into_dataframe(args, wide_mode, var_name, value_name):`
`1272`	`1272`
`1273`	`1273`	`length = len(df_output[next(iter(df_output))]) if len(df_output) else 0`
`1274`	`1274`	`df_output.update(`
`1275`		`- {col_name: pd.Series(range(length), name=col_name) for col_name in ranges}`
	`1275`	`+ {col_name: to_unindexed_series(range(length), col_name) for col_name in ranges}`
`1276`	`1276`	`)`
`1277`	`1277`	`df_output.update(`
`1278`	`1278`	`{`
`1279`	`1279`	`# constant is single value. repeat by len to avoid creating NaN on concating`
`1280`		`- col_name: pd.Series([constants[col_name]] * length, name=col_name)`
	`1280`	`+ col_name: to_unindexed_series([constants[col_name]] * length, col_name)`
`1281`	`1281`	`for col_name in constants`
`1282`	`1282`	`}`
`1283`	`1283`	`)`