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bar_plot_demo.py

@@ -0,0 +1,89 @@
+import gradio as gr
+import pandas as pd
+
+from vega_datasets import data
+
+barley = data.barley()
+simple = pd.DataFrame({
+    'a': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I'],
+    'b': [28, 55, 43, 91, 81, 53, 19, 87, 52]
+})
+
+def bar_plot_fn(display):
+    if display == "simple":
+        return gr.BarPlot.update(
+            simple,
+            x="a",
+            y="b",
+            title="Simple Bar Plot with made up data",
+            tooltip=['a', 'b'],
+            y_lim=[20, 100]
+        )
+    elif display == "stacked":
+        return gr.BarPlot.update(
+            barley,
+            x="variety",
+            y="yield",
+            color="site",
+            title="Barley Yield Data",
+            tooltip=['variety', 'site']
+        )
+    elif display == "grouped":
+        return gr.BarPlot.update(
+            barley.astype({"year": str}),
+            x="year",
+            y="yield",
+            color="year",
+            group="site",
+            title="Barley Yield by Year and Site",
+            group_title="",
+            tooltip=["yield", "site", "year"]
+        )
+    elif display == "simple-horizontal":
+        return gr.BarPlot.update(
+            simple,
+            x="a",
+            y="b",
+            x_title="Variable A",
+            y_title="Variable B",
+            title="Simple Bar Plot with made up data",
+            tooltip=['a', 'b'],
+            vertical=False,
+            y_lim=[20, 100]
+        )
+    elif display == "stacked-horizontal":
+        return gr.BarPlot.update(
+            barley,
+            x="variety",
+            y="yield",
+            color="site",
+            title="Barley Yield Data",
+            vertical=False,
+            tooltip=['variety', 'site']
+        )
+    elif display == "grouped-horizontal":
+        return gr.BarPlot.update(
+            barley.astype({"year": str}),
+            x="year",
+            y="yield",
+            color="year",
+            group="site",
+            title="Barley Yield by Year and Site",
+            group_title="",
+            tooltip=["yield", "site", "year"],
+            vertical=False
+        )
+
+
+with gr.Blocks() as bar_plot:
+    with gr.Row():
+        with gr.Column():
+            display = gr.Dropdown(
+                choices=["simple", "stacked", "grouped", "simple-horizontal", "stacked-horizontal", "grouped-horizontal"],
+                value="simple",
+                label="Type of Bar Plot"
+            )
+        with gr.Column():
+            plot = gr.BarPlot(show_label=False).style(container=True)
+    display.change(bar_plot_fn, inputs=display, outputs=plot)
+    bar_plot.load(fn=bar_plot_fn, inputs=display, outputs=plot)

requirements.txt

@@ -1,2 +1,2 @@
 vega_datasets
-https://gradio-main-build.s3.amazonaws.com/f92109621a4f6ab8712eee6586cc3db20681ce47/gradio-3.18.0-py3-none-any.whl
+https://gradio-main-build.s3.amazonaws.com/c06b4eab16f4898b08dfcd8e762d53e579102875/gradio-3.18.0-py3-none-any.whl

run.ipynb

@@ -1 +1 @@
-{"cells": [{"cell_type": "markdown", "id": 302934307671667531413257853548643485645, "metadata": {}, "source": ["# Gradio Demo: native_plots"]}, {"cell_type": "code", "execution_count": null, "id": 272996653310673477252411125948039410165, "metadata": {}, "outputs": [], "source": ["!pip install -q gradio vega_datasets"]}, {"cell_type": "code", "execution_count": null, "id": 288918539441861185822528903084949547379, "metadata": {}, "outputs": [], "source": ["# Downloading files from the demo repo\n", "import os\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/native_plots/line_plot_demo.py\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/native_plots/scatter_plot_demo.py"]}, {"cell_type": "code", "execution_count": null, "id": 44380577570523278879349135829904343037, "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "from scatter_plot_demo import scatter_plot\n", "from line_plot_demo import line_plot\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    with gr.Tabs():\n", "        with gr.TabItem(\"Scatter Plot\"):\n", "            scatter_plot.render()\n", "        with gr.TabItem(\"Line Plot\"):\n", "            line_plot.render()\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: native_plots"]}, {"cell_type": "code", "execution_count": null, "id": 272996653310673477252411125948039410165, "metadata": {}, "outputs": [], "source": ["!pip install -q gradio vega_datasets"]}, {"cell_type": "code", "execution_count": null, "id": 288918539441861185822528903084949547379, "metadata": {}, "outputs": [], "source": ["# Downloading files from the demo repo\n", "import os\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/native_plots/bar_plot_demo.py\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/native_plots/line_plot_demo.py\n", "!wget -q https://github.com/gradio-app/gradio/raw/main/demo/native_plots/scatter_plot_demo.py"]}, {"cell_type": "code", "execution_count": null, "id": 44380577570523278879349135829904343037, "metadata": {}, "outputs": [], "source": ["import gradio as gr\n", "\n", "from scatter_plot_demo import scatter_plot\n", "from line_plot_demo import line_plot\n", "from bar_plot_demo import bar_plot\n", "\n", "\n", "with gr.Blocks() as demo:\n", "    with gr.Tabs():\n", "        with gr.TabItem(\"Scatter Plot\"):\n", "            scatter_plot.render()\n", "        with gr.TabItem(\"Line Plot\"):\n", "            line_plot.render()\n", "        with gr.TabItem(\"Bar Plot\"):\n", "            bar_plot.render()\n", "\n", "if __name__ == \"__main__\":\n", "    demo.launch()\n"]}], "metadata": {}, "nbformat": 4, "nbformat_minor": 5}

run.py

@@ -2,6 +2,7 @@ import gradio as gr
 
 from scatter_plot_demo import scatter_plot
 from line_plot_demo import line_plot
+from bar_plot_demo import bar_plot
 
 
 with gr.Blocks() as demo:
@@ -10,6 +11,8 @@ with gr.Blocks() as demo:
             scatter_plot.render()
         with gr.TabItem("Line Plot"):
             line_plot.render()
+        with gr.TabItem("Bar Plot"):
+            bar_plot.render()
 
 if __name__ == "__main__":
     demo.launch()