feat(python): add plot namespace (which defers to hvplot)

README.md

@@ -192,10 +192,13 @@ Install Polars with all optional dependencies.
 
 ```sh
 pip install 'polars[all]'
-pip install 'polars[numpy,pandas,pyarrow]'  # install a subset of all optional dependencies
 ```
 
-You can also install the dependencies directly.
+You can also install a subset of all optional dependencies.
+
+```sh
+pip install 'polars[numpy,pandas,pyarrow]'
+```
 
 | Tag        | Description                                                                  |
 | ---------- | ---------------------------------------------------------------------------- |
@@ -209,6 +212,7 @@ You can also install the dependencies directly.
 | openpyxl   | Support for reading from Excel files with native types                       |
 | deltalake  | Support for reading from Delta Lake Tables                                   |
 | pyiceberg  | Support for reading from Apache Iceberg tables                               |
+| plot       | Support for plot functions on Dataframes                                     |
 | timezone   | Timezone support, only needed if are on Python<3.9 or you are on Windows     |
 
 Releases happen quite often (weekly / every few days) at the moment, so updating polars regularly to get the latest bugfixes / features might not be a bad idea.

docs/user-guide/installation.md

@@ -55,6 +55,7 @@ pip install 'polars[numpy,fsspec]'
 | connectorx | Support for reading from SQL databases                                                                                                |
 | xlsx2csv   | Support for reading from Excel files                                                                                                  |
 | deltalake  | Support for reading from Delta Lake Tables                                                                                            |
+| plot       | Support for plotting Dataframes                                                                                                       |
 | timezone   | Timezone support, only needed if 1. you are on Python < 3.9 and/or 2. you are on Windows, otherwise no dependencies will be installed |
 
 ### Rust

py-polars/docs/source/reference/dataframe/attributes.rst

@@ -10,6 +10,7 @@ Attributes
     DataFrame.dtypes
     DataFrame.flags
     DataFrame.height
+    DataFrame.plot
     DataFrame.schema
     DataFrame.shape
     DataFrame.width

py-polars/docs/source/reference/dataframe/index.rst

@@ -16,6 +16,7 @@ This page gives an overview of all public DataFrame methods.
    group_by
    modify_select
    miscellaneous
+   plot
 
 .. currentmodule:: polars
 

py-polars/docs/source/reference/dataframe/plot.rst

@@ -0,0 +1,44 @@
+====
+Plot
+====
+
+Polars does not implement plotting logic itself, but instead defers to
+hvplot. Please see the `hvplot reference gallery <https://hvplot.holoviz.org/reference/index.html>`_
+for more information and documentation.
+
+Examples
+--------
+Scatter plot:
+
+.. code-block:: python
+
+    df = pl.DataFrame(
+        {
+            "length": [1, 4, 6],
+            "width": [4, 5, 6],
+            "species": ["setosa", "setosa", "versicolor"],
+        }
+    )
+    df.plot.scatter(x="length", y="width", by="species")
+
+Line plot:
+
+.. code-block:: python
+
+    from datetime import date
+    df = pl.DataFrame(
+        {
+            "date": [date(2020, 1, 2), date(2020, 1, 3), date(2020, 1, 3)],
+            "stock_1": [1, 4, 6],
+            "stock_2": [1, 5, 2],
+        }
+    )
+    df.plot.line(x="date", y=["stock_1", "stock_2"])
+
+For more info on what you can pass, you can use ``hvplot.help``:
+
+.. code-block:: python
+
+    import hvplot
+    hvplot.help('scatter')
+

py-polars/docs/source/reference/series/attributes.rst

@@ -15,3 +15,4 @@ Attributes
    Series.shape
    Series.str
    Series.flags
+   Series.plot

py-polars/docs/source/reference/series/index.rst

@@ -20,6 +20,7 @@ This page gives an overview of all public Series methods.
    list
    modify_select
    miscellaneous
+   plot
    string
    struct
    temporal

py-polars/docs/source/reference/series/plot.rst

@@ -0,0 +1,29 @@
+====
+Plot
+====
+
+Polars does not implement plotting logic itself, but instead defers to
+hvplot. Please see the `hvplot reference gallery <https://hvplot.holoviz.org/reference/index.html>`_
+for more information and documentation.
+
+Examples
+--------
+Histogram:
+
+.. code-block:: python
+
+   s = pl.Series([1, 4, 2])
+   s.plot.hist()
+
+KDE plot (note: in addition to ``hvplot``, this one also requires ``scipy``):
+
+.. code-block:: python
+
+   s.plot.kde()
+
+For more info on what you can pass, you can use ``hvplot.help``:
+
+.. code-block:: python
+
+   import hvplot
+   hvplot.help("hist")

py-polars/polars/dataframe/frame.py

@@ -48,12 +48,14 @@
     py_type_to_dtype,
 )
 from polars.dependencies import (
+    _HVPLOT_AVAILABLE,
     _PANDAS_AVAILABLE,
     _PYARROW_AVAILABLE,
     _check_for_numpy,
     _check_for_pandas,
     _check_for_pyarrow,
     dataframe_api_compat,
+    hvplot,
 )
 from polars.dependencies import numpy as np
 from polars.dependencies import pandas as pd
@@ -348,7 +350,7 @@ class DataFrame:
 
     """
 
-    _accessors: ClassVar[set[str]] = set()
+    _accessors: ClassVar[set[str]] = {"plot"}
 
     def __init__(
         self,
@@ -1116,6 +1118,52 @@ def _replace(self, column: str, new_column: Series) -> Self:
         self._df.replace(column, new_column._s)
         return self
 
+    @property
+    def plot(self) -> Any:
+        """
+        Create a plot namespace.
+
+        Polars does not implement plotting logic itself, but instead defers to
+        hvplot. Please see the `hvplot reference gallery <https://hvplot.holoviz.org/reference/index.html>`_
+        for more information and documentation.
+
+        Examples
+        --------
+        Scatter plot:
+
+        >>> df = pl.DataFrame(
+        ...     {
+        ...         "length": [1, 4, 6],
+        ...         "width": [4, 5, 6],
+        ...         "species": ["setosa", "setosa", "versicolor"],
+        ...     }
+        ... )
+        >>> df.plot.scatter(x="length", y="width", by="species")  # doctest: +SKIP
+
+        Line plot:
+
+        >>> from datetime import date
+        >>> df = pl.DataFrame(
+        ...     {
+        ...         "date": [date(2020, 1, 2), date(2020, 1, 3), date(2020, 1, 3)],
+        ...         "stock_1": [1, 4, 6],
+        ...         "stock_2": [1, 5, 2],
+        ...     }
+        ... )
+        >>> df.plot.line(x="date", y=["stock_1", "stock_2"])  # doctest: +SKIP
+
+        For more info on what you can pass, you can use ``hvplot.help``:
+
+        >>> import hvplot  # doctest: +SKIP
+        >>> hvplot.help("scatter")  # doctest: +SKIP
+        """
+        if not _HVPLOT_AVAILABLE or parse_version(hvplot.__version__) < parse_version(
+            "0.9.1"
+        ):
+            raise ModuleUpgradeRequired("hvplot>=0.9.1 is required for `.plot`")
+        hvplot.post_patch()
+        return hvplot.plotting.core.hvPlotTabularPolars(self)
+
     @property
     def shape(self) -> tuple[int, int]:
         """

py-polars/polars/dependencies.py

@@ -12,6 +12,7 @@
 _DELTALAKE_AVAILABLE = True
 _FSSPEC_AVAILABLE = True
 _GEVENT_AVAILABLE = True
+_HVPLOT_AVAILABLE = True
 _HYPOTHESIS_AVAILABLE = True
 _NUMPY_AVAILABLE = True
 _PANDAS_AVAILABLE = True
@@ -158,6 +159,7 @@ def _lazy_import(module_name: str) -> tuple[ModuleType, bool]:
     import deltalake
     import fsspec
     import gevent
+    import hvplot
     import hypothesis
     import numpy
     import pandas
@@ -183,6 +185,7 @@ def _lazy_import(module_name: str) -> tuple[ModuleType, bool]:
     )
     deltalake, _DELTALAKE_AVAILABLE = _lazy_import("deltalake")
     fsspec, _FSSPEC_AVAILABLE = _lazy_import("fsspec")
+    hvplot, _HVPLOT_AVAILABLE = _lazy_import("hvplot")
     hypothesis, _HYPOTHESIS_AVAILABLE = _lazy_import("hypothesis")
     numpy, _NUMPY_AVAILABLE = _lazy_import("numpy")
     pandas, _PANDAS_AVAILABLE = _lazy_import("pandas")
@@ -243,6 +246,7 @@ def _check_for_pydantic(obj: Any, *, check_type: bool = True) -> bool:
     "deltalake",
     "fsspec",
     "gevent",
+    "hvplot",
     "numpy",
     "pandas",
     "pydantic",
@@ -260,6 +264,7 @@ def _check_for_pydantic(obj: Any, *, check_type: bool = True) -> bool:
     "_PYICEBERG_AVAILABLE",
     "_FSSPEC_AVAILABLE",
     "_GEVENT_AVAILABLE",
+    "_HVPLOT_AVAILABLE",
     "_HYPOTHESIS_AVAILABLE",
     "_NUMPY_AVAILABLE",
     "_PANDAS_AVAILABLE",

py-polars/polars/series/series.py

@@ -52,11 +52,13 @@
     supported_numpy_char_code,
 )
 from polars.dependencies import (
+    _HVPLOT_AVAILABLE,
     _PYARROW_AVAILABLE,
     _check_for_numpy,
     _check_for_pandas,
     _check_for_pyarrow,
     dataframe_api_compat,
+    hvplot,
 )
 from polars.dependencies import numpy as np
 from polars.dependencies import pandas as pd
@@ -237,6 +239,7 @@ class Series:
         "str",
         "bin",
         "struct",
+        "plot",
     }
 
     def __init__(
@@ -7486,6 +7489,38 @@ def struct(self) -> StructNameSpace:
         """Create an object namespace of all struct related methods."""
         return StructNameSpace(self)
 
+    @property
+    def plot(self) -> Any:
+        """
+        Create a plot namespace.
+
+        Polars does not implement plotting logic itself, but instead defers to
+        hvplot. Please see the `hvplot reference gallery <https://hvplot.holoviz.org/reference/index.html>`_
+        for more information and documentation.
+
+        Examples
+        --------
+        Histogram:
+
+        >>> s = pl.Series([1, 4, 2])
+        >>> s.plot.hist()  # doctest: +SKIP
+
+        KDE plot (note: in addition to ``hvplot``, this one also requires ``scipy``):
+
+        >>> s.plot.kde()  # doctest: +SKIP
+
+        For more info on what you can pass, you can use ``hvplot.help``:
+
+        >>> import hvplot  # doctest: +SKIP
+        >>> hvplot.help("hist")  # doctest: +SKIP
+        """
+        if not _HVPLOT_AVAILABLE or parse_version(hvplot.__version__) < parse_version(
+            "0.9.1"
+        ):
+            raise ModuleUpgradeRequired("hvplot>=0.9.1 is required for `.plot`")
+        hvplot.post_patch()
+        return hvplot.plotting.core.hvPlotTabularPolars(self)
+
 
 def _resolve_temporal_dtype(
     dtype: PolarsDataType | None,

py-polars/polars/series/utils.py

@@ -39,7 +39,12 @@ def expr_dispatch(cls: type[T]) -> type[T]:
     expr_lookup = _expr_lookup(namespace)
 
     for name in dir(cls):
-        if not name.startswith("_"):
+        if (
+            # private
+            not name.startswith("_")
+            # `.plot` not available on Expr
+            and name != "plot"
+        ):
             attr = getattr(cls, name)
             if callable(attr):
                 attr = _undecorated(attr)

py-polars/polars/utils/show_versions.py

@@ -24,6 +24,7 @@ def show_versions() -> None:
     connectorx:           0.3.2
     deltalake:            0.13.0
     fsspec:               2023.10.0
+    hvplot:               0.9.1
     gevent:               23.9.1
     matplotlib:           3.8.2
     numpy:                1.26.2
@@ -66,6 +67,7 @@ def _get_dependency_info() -> dict[str, str]:
         "deltalake",
         "fsspec",
         "gevent",
+        "hvplot",
         "matplotlib",
         "numpy",
         "openpyxl",

py-polars/polars/utils/various.py

@@ -399,7 +399,7 @@ def __get__(  # type: ignore[override]
             return self.fget(  # type: ignore[misc]
                 instance if isinstance(instance, cls) else cls
             )
-        except AttributeError:
+        except (AttributeError, ImportError):
             return None  # type: ignore[return-value]
 
 

py-polars/pyproject.toml

@@ -45,6 +45,7 @@ connectorx = ["connectorx >= 0.3.2"]
 deltalake = ["deltalake >= 0.14.0"]
 fsspec = ["fsspec"]
 gevent = ["gevent"]
+plot = ["hvplot >= 0.9.1"]
 matplotlib = ["matplotlib"]
 numpy = ["numpy >= 1.16.0"]
 openpyxl = ["openpyxl >= 3.0.0"]
@@ -58,7 +59,7 @@ timezone = ["backports.zoneinfo; python_version < '3.9'", "tzdata; platform_syst
 xlsx2csv = ["xlsx2csv >= 0.8.0"]
 xlsxwriter = ["xlsxwriter"]
 all = [
-  "polars[pyarrow,pandas,numpy,fsspec,connectorx,xlsx2csv,deltalake,timezone,matplotlib,pydantic,pyiceberg,sqlalchemy,xlsxwriter,adbc,cloudpickle,gevent]",
+  "polars[pyarrow,pandas,numpy,fsspec,plot,connectorx,xlsx2csv,deltalake,timezone,pydantic,pyiceberg,sqlalchemy,xlsxwriter,adbc,cloudpickle,gevent]",
 ]
 
 [tool.maturin]
@@ -88,6 +89,8 @@ module = [
   "ezodf.*",
   "fsspec.*",
   "gevent",
+  "holoviews.*",
+  "hvplot.*",
   "matplotlib.*",
   "moto.server",
   "openpyxl",

py-polars/requirements-dev.txt

@@ -47,8 +47,10 @@ dataframe-api-compat >= 0.1.6
 pyiceberg >= 0.5.0
 # Csv
 zstandard
-# Other
+# Plotting
+hvplot>=0.9.1
 matplotlib
+# Other
 gevent
 
 # -------