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* changes * changes * revert changes * changes * add changeset * notebooks script * changes * changes --------- Co-authored-by: Ali Abid <aliabid94@gmail.com> Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com> Co-authored-by: Ali Abdalla <ali.si3luwa@gmail.com>
75 lines
2.4 KiB
Python
75 lines
2.4 KiB
Python
import gradio as gr
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from data import temp_sensor_data, food_rating_data
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with gr.Blocks() as bar_plots:
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with gr.Row():
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start = gr.DateTime("2021-01-01 00:00:00", label="Start")
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end = gr.DateTime("2021-01-05 00:00:00", label="End")
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apply_btn = gr.Button("Apply", scale=0)
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with gr.Row():
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group_by = gr.Radio(["None", "30m", "1h", "4h", "1d"], value="None", label="Group by")
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aggregate = gr.Radio(["sum", "mean", "median", "min", "max"], value="sum", label="Aggregation")
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temp_by_time = gr.BarPlot(
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temp_sensor_data,
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x="time",
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y="temperature",
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)
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temp_by_time_location = gr.BarPlot(
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temp_sensor_data,
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x="time",
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y="temperature",
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color="location",
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)
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time_graphs = [temp_by_time, temp_by_time_location]
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group_by.change(
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lambda group: [gr.BarPlot(x_bin=None if group == "None" else group)] * len(time_graphs),
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group_by,
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time_graphs
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)
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aggregate.change(
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lambda aggregate: [gr.BarPlot(y_aggregate=aggregate)] * len(time_graphs),
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aggregate,
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time_graphs
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)
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def rescale(select: gr.SelectData):
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return select.index
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rescale_evt = gr.on([plot.select for plot in time_graphs], rescale, None, [start, end])
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for trigger in [apply_btn.click, rescale_evt.then]:
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trigger(
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lambda start, end: [gr.BarPlot(x_lim=[start, end])] * len(time_graphs), [start, end], time_graphs
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)
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with gr.Row():
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price_by_cuisine = gr.BarPlot(
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food_rating_data,
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x="cuisine",
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y="price",
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)
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with gr.Column(scale=0):
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gr.Button("Sort $ > $$$").click(lambda: gr.BarPlot(sort="y"), None, price_by_cuisine)
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gr.Button("Sort $$$ > $").click(lambda: gr.BarPlot(sort="-y"), None, price_by_cuisine)
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gr.Button("Sort A > Z").click(lambda: gr.BarPlot(sort=["Chinese", "Italian", "Mexican"]), None, price_by_cuisine)
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with gr.Row():
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price_by_rating = gr.BarPlot(
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food_rating_data,
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x="rating",
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y="price",
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x_bin=1,
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)
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price_by_rating_color = gr.BarPlot(
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food_rating_data,
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x="rating",
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y="price",
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color="cuisine",
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x_bin=1,
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color_map={"Italian": "red", "Mexican": "green", "Chinese": "blue"},
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)
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if __name__ == "__main__":
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bar_plots.launch()
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