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requirements.txt

@@ -1,2 +1,2 @@
-gradio-client @ git+https://github.com/gradio-app/gradio@ede74283d738f55e032a98fb1875605cb0b65d8a#subdirectory=client/python
-https://gradio-pypi-previews.s3.amazonaws.com/ede74283d738f55e032a98fb1875605cb0b65d8a/gradio-5.23.3-py3-none-any.whl
+gradio-client @ git+https://github.com/gradio-app/gradio@d654e60ff61f76ebcf37f294f1d85305d344a70b#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/d654e60ff61f76ebcf37f294f1d85305d344a70b/gradio-5.23.3-py3-none-any.whl

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: dataframe_events"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import pandas as pd\n", "import numpy as np\n", "\n", "def update_dataframe():\n", "    regular_df = pd.DataFrame(np.random.randint(1, 10, size=(5, 5)), columns=pd.Index([str(i) for i in range(5)]))\n", "    wide_df = pd.DataFrame([\n", "        [5, 22, 91, 17, 73, 38, 84, 46, 65, 10, 155, 122, 11, 144, 133],\n", "        [81, 42, 13, 97, 33, 77, 59, 100, 29, 61, 213, 195, 142, 118, 127],\n", "        [37, 71, 63, 102, 28, 94, 19, 55, 88, 44, 116, 139, 122, 150, 147],\n", "        [104, 52, 49, 26, 83, 67, 31, 92, 79, 18, 241, 115, 159, 123, 137],\n", "        [16, 95, 74, 68, 43, 101, 27, 85, 39, 57, 129, 148, 132, 111, 156]\n", "    ], columns=pd.Index([f\"col_{i}\" for i in range(15)]))\n", "    return regular_df, wide_df\n", "\n", "def clear_dataframes():\n", "    regular_empty_df = pd.DataFrame([], columns=pd.Index([str(i) for i in range(5)]))\n", "    wide_empty_df = pd.DataFrame([], columns=pd.Index([f\"col_{i}\" for i in range(15)]))\n", "    return regular_empty_df, wide_empty_df\n", "\n", "def increment_select_counter(evt: gr.SelectData, count):\n", "    count_val = 1 if count is None else count + 1\n", "    return count_val, evt.index, evt.value\n", "\n", "with gr.Blocks() as demo:\n", "    with gr.Row():\n", "        with gr.Column(scale=1):\n", "            initial_regular_df = pd.DataFrame(np.zeros((5, 5), dtype=int), columns=pd.Index([str(i) for i in range(5)]))\n", "\n", "            df = gr.Dataframe(\n", "                value=initial_regular_df,\n", "                interactive=True,\n", "                label=\"Interactive Dataframe\",\n", "                show_label=True,\n", "                elem_id=\"dataframe\",\n", "                show_search=\"filter\",\n", "                show_copy_button=True,\n", "                show_row_numbers=True,\n", "                static_columns=[4]\n", "            )\n", "\n", "        with gr.Column(scale=1):\n", "            initial_wide_df = pd.DataFrame(np.zeros((5, 15), dtype=int), columns=pd.Index([f\"col_{i}\" for i in range(15)]))\n", "\n", "            df_view = gr.Dataframe(\n", "                value=initial_wide_df,\n", "                interactive=False,\n", "                label=\"Non-Interactive View (Scroll Horizontally)\",\n", "                show_label=True,\n", "                show_search=\"search\",\n", "                elem_id=\"non-interactive-dataframe\",\n", "                show_copy_button=True,\n", "                show_row_numbers=True,\n", "                show_fullscreen_button=True,\n", "            )\n", "\n", "    tall_df_value = [\n", "        [\"DeepSeek Coder\", 79.3],\n", "        [\"Llama 3.3\", 68.9],\n", "        [\"Qwen 2.5\", 61.9],\n", "        [\"Gemma 2\", 59.5],\n", "        [\"GPT 2\", 18.3],\n", "    ]\n", "\n", "    def get_display_value(values):\n", "        display_values = []\n", "        medals = [\"\ud83e\udd47\", \"\ud83e\udd48\", \"\ud83e\udd49\"]\n", "        for i, row in enumerate(values):\n", "            if i < 3:\n", "                display_values.append([f\"{medals[i]} {row[0]}\", row[1]])\n", "            else:\n", "                display_values.append([row[0], row[1]])\n", "        return display_values\n", "\n", "    display_value = get_display_value(tall_df_value)\n", "\n", "    tall_df_value = {\n", "        \"data\": tall_df_value,\n", "        \"headers\": [\"Model\", \"% Correct (LeetCode Hard)\"],\n", "        \"metadata\": {\n", "            \"display_value\": display_value\n", "        }\n", "    }\n", "\n", "    with gr.Row():\n", "        df_tall = gr.Dataframe(\n", "            value=tall_df_value,\n", "            interactive=False,\n", "            label=\"Tall Dataframe (Scroll Vertically)\",\n", "            show_label=True,\n", "            elem_id=\"dataframe_tall\",\n", "            show_copy_button=True,\n", "            show_row_numbers=True,\n", "            max_height=300,\n", "        )\n", "\n", "    with gr.Row():\n", "        with gr.Column():\n", "            update_btn = gr.Button(\"Update dataframe\", elem_id=\"update_btn\")\n", "            clear_btn = gr.Button(\"Clear dataframe\", elem_id=\"clear_btn\")\n", "\n", "    with gr.Row():\n", "        change_events = gr.Number(\n", "            value=0, label=\"Change events\", elem_id=\"change_events\"\n", "        )\n", "        input_events = gr.Number(value=0, label=\"Input events\", elem_id=\"input_events\")\n", "        select_events = gr.Number(\n", "            value=0, label=\"Select events\", elem_id=\"select_events\"\n", "        )\n", "\n", "    with gr.Row():\n", "        selected_cell_index = gr.Textbox(\n", "            label=\"Selected cell index\", elem_id=\"selected_cell_index\"\n", "        )\n", "        selected_cell_value = gr.Textbox(\n", "            label=\"Selected cell value\", elem_id=\"selected_cell_value\"\n", "        )\n", "\n", "    update_btn.click(fn=update_dataframe, outputs=[df, df_view])\n", "    clear_btn.click(fn=clear_dataframes, outputs=[df, df_view, df_tall])\n", "    df.change(fn=lambda x: x + 1, inputs=[change_events], outputs=[change_events])\n", "    df.input(fn=lambda x: x + 1, inputs=[input_events], outputs=[input_events])\n", "    df.select(\n", "        fn=increment_select_counter,\n", "        inputs=[select_events],\n", "        outputs=[select_events, selected_cell_index, selected_cell_value],\n", "    )\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}
+{"cells": [{"cell_type": "markdown", "id": "302934307671667531413257853548643485645", "metadata": {}, "source": ["# Gradio Demo: dataframe_events"]}, {"cell_type": "code", "execution_count": null, "id": "272996653310673477252411125948039410165", "metadata": {}, "outputs": [], "source": ["!pip install -q gradio "]}, {"cell_type": "code", "execution_count": null, "id": "288918539441861185822528903084949547379", "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "import pandas as pd\n", "import numpy as np\n", "\n", "def update_dataframe():\n", "    regular_df = pd.DataFrame(np.random.randint(1, 10, size=(5, 5)), columns=pd.Index([str(i) for i in range(5)]))\n", "    wide_df = pd.DataFrame([\n", "        [5, 22, 91, 17, 73, 38, 84, 46, 65, 10, 155, 122, 11, 144, 133],\n", "        [81, 42, 13, 97, 33, 77, 59, 100, 29, 61, 213, 195, 142, 118, 127],\n", "        [37, 71, 63, 102, 28, 94, 19, 55, 88, 44, 116, 139, 122, 150, 147],\n", "        [104, 52, 49, 26, 83, 67, 31, 92, 79, 18, 241, 115, 159, 123, 137],\n", "        [16, 95, 74, 68, 43, 101, 27, 85, 39, 57, 129, 148, 132, 111, 156]\n", "    ], columns=pd.Index([f\"col_{i}\" for i in range(15)]))\n", "    return regular_df, wide_df\n", "\n", "def clear_dataframes():\n", "    regular_empty_df = pd.DataFrame([], columns=pd.Index([str(i) for i in range(5)]))\n", "    wide_empty_df = pd.DataFrame([], columns=pd.Index([f\"col_{i}\" for i in range(15)]))\n", "    return regular_empty_df, wide_empty_df\n", "\n", "def increment_select_counter(evt: gr.SelectData, count):\n", "    count_val = 1 if count is None else count + 1\n", "    return count_val, evt.index, evt.value\n", "\n", "with gr.Blocks() as demo:\n", "    with gr.Row():\n", "        with gr.Column(scale=1):\n", "            initial_regular_df = pd.DataFrame(np.zeros((5, 5), dtype=int), columns=pd.Index([str(i) for i in range(5)]))\n", "\n", "            df = gr.Dataframe(\n", "                value=initial_regular_df,\n", "                interactive=True,\n", "                label=\"Interactive Dataframe\",\n", "                show_label=True,\n", "                elem_id=\"dataframe\",\n", "                show_search=\"filter\",\n", "                show_copy_button=True,\n", "                show_row_numbers=True,\n", "                static_columns=[4]\n", "            )\n", "\n", "        with gr.Column(scale=1):\n", "            initial_wide_df = pd.DataFrame(np.zeros((5, 15), dtype=int), columns=pd.Index([f\"col_{i}\" for i in range(15)]))\n", "\n", "            df_view = gr.Dataframe(\n", "                value=initial_wide_df,\n", "                interactive=False,\n", "                label=\"Non-Interactive View (Scroll Horizontally)\",\n", "                show_label=True,\n", "                show_search=\"search\",\n", "                elem_id=\"non-interactive-dataframe\",\n", "                show_copy_button=True,\n", "                show_row_numbers=True,\n", "                show_fullscreen_button=True,\n", "            )\n", "\n", "    tall_df_value = [\n", "        [\"DeepSeek Coder\", 79.3],\n", "        [\"Llama 3.3\", 68.9],\n", "        [\"Qwen 2.5\", 61.9],\n", "        [\"Gemma 2\", 59.5],\n", "        [\"GPT 2\", 18.3],\n", "    ]\n", "\n", "    def get_display_value(values):\n", "        display_values = []\n", "        medals = [\"\ud83e\udd47\", \"\ud83e\udd48\", \"\ud83e\udd49\"]\n", "        for i, row in enumerate(values):\n", "            if i < 3:\n", "                display_values.append([f\"{medals[i]} {row[0]}\", row[1]])\n", "            else:\n", "                display_values.append([row[0], row[1]])\n", "        return display_values\n", "\n", "    display_value = get_display_value(tall_df_value)\n", "\n", "    tall_df_value = {\n", "        \"data\": tall_df_value,\n", "        \"headers\": [\"Model\", \"% Correct (LeetCode Hard)\"],\n", "        \"metadata\": {\n", "            \"display_value\": display_value\n", "        }\n", "    }\n", "\n", "    with gr.Row():\n", "        with gr.Column():\n", "            df_tall = gr.Dataframe(\n", "                value=tall_df_value,\n", "                interactive=False,\n", "                label=\"Tall Dataframe (Scroll Vertically)\",\n", "                max_height=200,\n", "                show_label=True,\n", "                elem_id=\"dataframe_tall\",\n", "                show_copy_button=True,\n", "                show_row_numbers=True,\n", "                show_search=\"search\",\n", "            )\n", "\n", "            df_tall_selected_cell_index = gr.Textbox(\n", "                label=\"Tall dataframe selected cell index\", elem_id=\"tall_selected_cell_index\"\n", "            )\n", "            df_tall_selected_cell_value = gr.Textbox(\n", "                label=\"Tall dataframe selected cell value\", elem_id=\"tall_selected_cell_value\"\n", "            )\n", "\n", "    with gr.Row():\n", "        with gr.Column():\n", "            update_btn = gr.Button(\"Update dataframe\", elem_id=\"update_btn\")\n", "            clear_btn = gr.Button(\"Clear dataframe\", elem_id=\"clear_btn\")\n", "\n", "    with gr.Row():\n", "        change_events = gr.Number(\n", "            value=0, label=\"Change events\", elem_id=\"change_events\"\n", "        )\n", "        input_events = gr.Number(value=0, label=\"Input events\", elem_id=\"input_events\")\n", "        select_events = gr.Number(\n", "            value=0, label=\"Select events\", elem_id=\"select_events\"\n", "        )\n", "\n", "    with gr.Row():\n", "        selected_cell_index = gr.Textbox(\n", "            label=\"Selected cell index\", elem_id=\"selected_cell_index\"\n", "        )\n", "        selected_cell_value = gr.Textbox(\n", "            label=\"Selected cell value\", elem_id=\"selected_cell_value\"\n", "        )\n", "\n", "    update_btn.click(fn=update_dataframe, outputs=[df, df_view])\n", "    clear_btn.click(fn=clear_dataframes, outputs=[df, df_view, df_tall])\n", "    df.change(fn=lambda x: x + 1, inputs=[change_events], outputs=[change_events])\n", "    df.input(fn=lambda x: x + 1, inputs=[input_events], outputs=[input_events])\n", "    df.select(\n", "        fn=increment_select_counter,\n", "        inputs=[select_events],\n", "        outputs=[select_events, selected_cell_index, selected_cell_value],\n", "    )\n", "\n", "    df_tall.select(\n", "        fn=increment_select_counter,\n", "        inputs=[select_events],\n", "        outputs=[select_events, df_tall_selected_cell_index, df_tall_selected_cell_value],\n", "    )\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -83,16 +83,25 @@ with gr.Blocks() as demo:
     }
 
     with gr.Row():
-        df_tall = gr.Dataframe(
-            value=tall_df_value,
-            interactive=False,
-            label="Tall Dataframe (Scroll Vertically)",
-            show_label=True,
-            elem_id="dataframe_tall",
-            show_copy_button=True,
-            show_row_numbers=True,
-            max_height=300,
-        )
+        with gr.Column():
+            df_tall = gr.Dataframe(
+                value=tall_df_value,
+                interactive=False,
+                label="Tall Dataframe (Scroll Vertically)",
+                max_height=200,
+                show_label=True,
+                elem_id="dataframe_tall",
+                show_copy_button=True,
+                show_row_numbers=True,
+                show_search="search",
+            )
+
+            df_tall_selected_cell_index = gr.Textbox(
+                label="Tall dataframe selected cell index", elem_id="tall_selected_cell_index"
+            )
+            df_tall_selected_cell_value = gr.Textbox(
+                label="Tall dataframe selected cell value", elem_id="tall_selected_cell_value"
+            )
 
     with gr.Row():
         with gr.Column():
@@ -126,5 +135,11 @@ with gr.Blocks() as demo:
         outputs=[select_events, selected_cell_index, selected_cell_value],
     )
 
+    df_tall.select(
+        fn=increment_select_counter,
+        inputs=[select_events],
+        outputs=[select_events, df_tall_selected_cell_index, df_tall_selected_cell_value],
+    )
+
 if __name__ == "__main__":
     demo.launch()