PX can accept non-pandas dataframes that can .to_pandas()

Author: nicolaskruchten

CHANGELOG.md

@@ -2,6 +2,13 @@
 All notable changes to this project will be documented in this file.
 This project adheres to [Semantic Versioning](http://semver.org/).
 
+
+##  UNRELEASED
+
+### Updated
+  - `px` methods now accept data-frame-like objects that support a `to_pandas()` method, such as polars, cudf, vaex etc
+
+
 ##  [5.10.0] - 2022-08-11
 
 ### Updated

packages/python/plotly/plotly/express/_core.py

@@ -1303,7 +1303,10 @@ def build_dataframe(args, constructor):
     # Cast data_frame argument to DataFrame (it could be a numpy array, dict etc.)
     df_provided = args["data_frame"] is not None
     if df_provided and not isinstance(args["data_frame"], pd.DataFrame):
-        args["data_frame"] = pd.DataFrame(args["data_frame"])
+        if hasattr(args["data_frame"], "to_pandas"):
+            args["data_frame"] = args["data_frame"].to_pandas()
+        else:
+            args["data_frame"] = pd.DataFrame(args["data_frame"])
     df_input = args["data_frame"]
 
     # now we handle special cases like wide-mode or x-xor-y specification