Lazy-import pandas (#7851)

* Lazy-import pandas

* add changeset

* add changeset

---------

Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com>

.changeset/sixty-buses-know.md

@@ -0,0 +1,5 @@
+---
+"gradio": patch
+---
+
+feat:Lazy-import pandas

gradio/components/bar_plot.py

@@ -2,13 +2,15 @@
 
 from __future__ import annotations
 
-from typing import Any, Callable, Literal
+from typing import TYPE_CHECKING, Any, Callable, Literal
 
-import pandas as pd
 from gradio_client.documentation import document
 
 from gradio.components.plot import AltairPlot, AltairPlotData, Plot
 
+if TYPE_CHECKING:
+    import pandas as pd
+
 
 @document()
 class BarPlot(Plot):
@@ -304,4 +306,6 @@ def example_payload(self) -> Any:
         return None
 
     def example_value(self) -> Any:
+        import pandas as pd
+
         return pd.DataFrame({self.x: [1, 2, 3], self.y: [4, 5, 6]})

gradio/components/dataframe.py

@@ -16,7 +16,6 @@
 )
 
 import numpy as np
-import pandas as pd
 import semantic_version
 from gradio_client.documentation import document
 
@@ -25,6 +24,7 @@
 from gradio.events import Events
 
 if TYPE_CHECKING:
+    import pandas as pd
     import polars as pl  # type: ignore
     from pandas.io.formats.style import Styler
 
@@ -191,6 +191,8 @@ def preprocess(
         Returns:
             Passes the uploaded spreadsheet data as a `pandas.DataFrame`, `numpy.array`, `polars.DataFrame`, or native 2D Python `list[list]` depending on `type`
         """
+        import pandas as pd
+
         if self.type == "pandas":
             if payload.headers is not None:
                 return pd.DataFrame(
@@ -236,6 +238,7 @@ def postprocess(
         Returns:
             the uploaded spreadsheet data as an object with `headers` and `data` attributes
         """
+        import pandas as pd
         from pandas.io.formats.style import Styler
 
         if value is None:
@@ -367,6 +370,8 @@ def process_example(
         | str
         | None,
     ):
+        import pandas as pd
+
         if value is None:
             return ""
         value_df_data = self.postprocess(value)

gradio/components/line_plot.py

@@ -2,13 +2,15 @@
 
 from __future__ import annotations
 
-from typing import Any, Callable, Literal
+from typing import TYPE_CHECKING, Any, Callable, Literal
 
-import pandas as pd
 from gradio_client.documentation import document
 
 from gradio.components.plot import AltairPlot, AltairPlotData, Plot
 
+if TYPE_CHECKING:
+    import pandas as pd
+
 
 @document()
 class LinePlot(Plot):
@@ -336,4 +338,6 @@ def example_payload(self) -> Any:
         return None
 
     def example_value(self) -> Any:
+        import pandas as pd
+
         return pd.DataFrame({self.x: [1, 2, 3], self.y: [4, 5, 6]})

gradio/components/scatter_plot.py

@@ -2,14 +2,15 @@
 
 from __future__ import annotations
 
-from typing import Any, Callable, Literal
+from typing import TYPE_CHECKING, Any, Callable, Literal
 
-import pandas as pd
 from gradio_client.documentation import document
-from pandas.api.types import is_numeric_dtype
 
 from gradio.components.plot import AltairPlot, AltairPlotData, Plot
 
+if TYPE_CHECKING:
+    import pandas as pd
+
 
 @document()
 class ScatterPlot(Plot):
@@ -231,6 +232,7 @@ def create_plot(
     ):
         """Helper for creating the scatter plot."""
         import altair as alt
+        from pandas.api.types import is_numeric_dtype
 
         interactive = True if interactive is None else interactive
         encodings = {
@@ -360,4 +362,6 @@ def example_payload(self) -> Any:
         return None
 
     def example_value(self) -> Any:
+        import pandas as pd
+
         return pd.DataFrame({self.x: [1, 2, 3], self.y: [4, 5, 6]})