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bar_plot_demo.py

@@ -10,17 +10,18 @@ with gr.Blocks() as bar_plots:
         group_by = gr.Radio(["None", "30m", "1h", "4h", "1d"], value="None", label="Group by")
         aggregate = gr.Radio(["sum", "mean", "median", "min", "max"], value="sum", label="Aggregation")
 
-    temp_by_time = gr.BarPlot(
-        temp_sensor_data,
-        x="time",
-        y="temperature",
-    )
-    temp_by_time_location = gr.BarPlot(
-        temp_sensor_data,
-        x="time",
-        y="temperature",
-        color="location",
-    )
+    with gr.Draggable():
+        temp_by_time = gr.BarPlot(
+            temp_sensor_data,
+            x="time",
+            y="temperature",
+        )
+        temp_by_time_location = gr.BarPlot(
+            temp_sensor_data,
+            x="time",
+            y="temperature",
+            color="location",
+        )
 
     time_graphs = [temp_by_time, temp_by_time_location]
     group_by.change(

requirements.txt

@@ -1,4 +1,4 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@61a7a7b8cea7a61222e29b4688150a3d958e5581#subdirectory=client/python
-https://gradio-pypi-previews.s3.amazonaws.com/61a7a7b8cea7a61222e29b4688150a3d958e5581/gradio-5.43.1-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@dfc0e0305068dbd16ce905afc73d139e1e51eb46#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/dfc0e0305068dbd16ce905afc73d139e1e51eb46/gradio-5.43.1-py3-none-any.whl
 vega_datasets
 pandas