BarPlot

gradio.BarPlot(···)

Description

Creates a bar plot component to display data from a pandas DataFrame.

Behavior

As input component: The data to display in a line plot.

Your function should accept one of these types:

def predict(
	value: AltairPlotData
)
	...

As output component: Expects a pandas DataFrame containing the data to display in the line plot. The DataFrame should contain at least two columns, one for the x-axis (corresponding to this component's x argument) and one for the y-axis (corresponding to y).

Your function should return one of these types:

def predict(···) -> pd.DataFrame | None
	...	
	return value

Initialization

Shortcuts

Demos

import gradio as gr

from scatter_plot_demo import scatter_plots
from line_plot_demo import line_plots
from bar_plot_demo import bar_plots

with gr.Blocks() as demo:
    with gr.Tabs():
        with gr.TabItem("Line Plot"):
            line_plots.render()
        with gr.TabItem("Scatter Plot"):
            scatter_plots.render()
        with gr.TabItem("Bar Plot"):
            bar_plots.render()

if __name__ == "__main__":
    demo.launch()

		

Event Listeners