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README.md

@@ -1,12 +1,12 @@
+
 ---
-title: Dataframe Events Main
-emoji: 📊
-colorFrom: blue
-colorTo: gray
+title: dataframe_events_main 
+emoji: 🔥
+colorFrom: indigo
+colorTo: indigo
 sdk: gradio
 sdk_version: 5.20.1
-app_file: app.py
+app_file: run.py
 pinned: false
+hf_oauth: true
 ---
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

requirements.txt

@@ -0,0 +1,2 @@
+gradio-client @ git+https://github.com/gradio-app/gradio@b5ca1dcfdf496292eade31347ae1974d3a0976c4#subdirectory=client/python
+https://gradio-pypi-previews.s3.amazonaws.com/b5ca1dcfdf496292eade31347ae1974d3a0976c4/gradio-5.20.1-py3-none-any.whl

run.ipynb

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+{"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", "    tall_df = pd.DataFrame(np.random.randint(1, 10, size=(50, 3)), columns=pd.Index([\"A\", \"B\", \"C\"]))\n", "    return regular_df, wide_df, tall_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", "    tall_empty_df = pd.DataFrame([], columns=pd.Index([\"A\", \"B\", \"C\"]))\n", "    return regular_empty_df, wide_empty_df, tall_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", "            )\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", "    with gr.Row():\n", "        initial_tall_df = pd.DataFrame(np.zeros((50, 3), dtype=int), columns=pd.Index([\"A\", \"B\", \"C\"]))\n", "\n", "        df_tall = gr.Dataframe(\n", "            value=initial_tall_df,\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, df_tall])\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}

run.py

@@ -0,0 +1,105 @@
+import gradio as gr
+import pandas as pd
+import numpy as np
+
+def update_dataframe():
+    regular_df = pd.DataFrame(np.random.randint(1, 10, size=(5, 5)), columns=pd.Index([str(i) for i in range(5)]))
+    wide_df = pd.DataFrame([
+        [5, 22, 91, 17, 73, 38, 84, 46, 65, 10, 155, 122, 11, 144, 133],
+        [81, 42, 13, 97, 33, 77, 59, 100, 29, 61, 213, 195, 142, 118, 127],
+        [37, 71, 63, 102, 28, 94, 19, 55, 88, 44, 116, 139, 122, 150, 147],
+        [104, 52, 49, 26, 83, 67, 31, 92, 79, 18, 241, 115, 159, 123, 137],
+        [16, 95, 74, 68, 43, 101, 27, 85, 39, 57, 129, 148, 132, 111, 156]
+    ], columns=pd.Index([f"col_{i}" for i in range(15)]))
+    tall_df = pd.DataFrame(np.random.randint(1, 10, size=(50, 3)), columns=pd.Index(["A", "B", "C"]))
+    return regular_df, wide_df, tall_df
+
+def clear_dataframes():
+    regular_empty_df = pd.DataFrame([], columns=pd.Index([str(i) for i in range(5)]))
+    wide_empty_df = pd.DataFrame([], columns=pd.Index([f"col_{i}" for i in range(15)]))
+    tall_empty_df = pd.DataFrame([], columns=pd.Index(["A", "B", "C"]))
+    return regular_empty_df, wide_empty_df, tall_empty_df
+
+def increment_select_counter(evt: gr.SelectData, count):
+    count_val = 1 if count is None else count + 1
+    return count_val, evt.index, evt.value
+
+with gr.Blocks() as demo:
+    with gr.Row():
+        with gr.Column(scale=1):
+            initial_regular_df = pd.DataFrame(np.zeros((5, 5), dtype=int), columns=pd.Index([str(i) for i in range(5)]))
+
+            df = gr.Dataframe(
+                value=initial_regular_df,
+                interactive=True,
+                label="Interactive Dataframe",
+                show_label=True,
+                elem_id="dataframe",
+                show_search="filter",
+                show_copy_button=True,
+                show_row_numbers=True,
+            )
+
+        with gr.Column(scale=1):
+            initial_wide_df = pd.DataFrame(np.zeros((5, 15), dtype=int), columns=pd.Index([f"col_{i}" for i in range(15)]))
+
+            df_view = gr.Dataframe(
+                value=initial_wide_df,
+                interactive=False,
+                label="Non-Interactive View (Scroll Horizontally)",
+                show_label=True,
+                show_search="search",
+                elem_id="non-interactive-dataframe",
+                show_copy_button=True,
+                show_row_numbers=True,
+                show_fullscreen_button=True,
+            )
+
+    with gr.Row():
+        initial_tall_df = pd.DataFrame(np.zeros((50, 3), dtype=int), columns=pd.Index(["A", "B", "C"]))
+
+        df_tall = gr.Dataframe(
+            value=initial_tall_df,
+            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.Row():
+        with gr.Column():
+            update_btn = gr.Button("Update dataframe", elem_id="update_btn")
+            clear_btn = gr.Button("Clear dataframe", elem_id="clear_btn")
+
+    with gr.Row():
+        change_events = gr.Number(
+            value=0, label="Change events", elem_id="change_events"
+        )
+        input_events = gr.Number(value=0, label="Input events", elem_id="input_events")
+        select_events = gr.Number(
+            value=0, label="Select events", elem_id="select_events"
+        )
+
+    with gr.Row():
+        selected_cell_index = gr.Textbox(
+            label="Selected cell index", elem_id="selected_cell_index"
+        )
+        selected_cell_value = gr.Textbox(
+            label="Selected cell value", elem_id="selected_cell_value"
+        )
+
+    update_btn.click(fn=update_dataframe, outputs=[df, df_view, df_tall])
+    clear_btn.click(fn=clear_dataframes, outputs=[df, df_view, df_tall])
+    df.change(fn=lambda x: x + 1, inputs=[change_events], outputs=[change_events])
+    df.input(fn=lambda x: x + 1, inputs=[input_events], outputs=[input_events])
+    df.select(
+        fn=increment_select_counter,
+        inputs=[select_events],
+        outputs=[select_events, selected_cell_index, selected_cell_value],
+    )
+
+if __name__ == "__main__":
+    demo.launch()