Transpose Matrix

Runnable examples for the frozen Gradio Lite 5.45.0 browser runtime.

Transpose an editable numeric matrix with NumPy.

This coding playground receives a Gradio data frame as a NumPy array. Click Run, edit the matrix or choose an example, and submit to exchange its rows and columns.

import numpy as np
import gradio as gr

def transpose(matrix):
    return matrix.T


demo = gr.Interface(
    transpose,
    gr.Dataframe(
        type="numpy",
        datatype="number",
        row_count=5,
        col_count=3,
        show_fullscreen_button=True
    ),
    "numpy",
    examples=[
        [np.zeros((3, 3)).tolist()],
        [np.ones((2, 2)).tolist()],
        [np.random.randint(0, 10, (3, 10)).tolist()],
    ],
    cache_examples=False
)

demo.launch()

import numpy as np import gradio as gr def transpose(matrix): return matrix.T demo = gr.Interface( transpose, gr.Dataframe( type="numpy", datatype="number", row_count=5, col_count=3, show_fullscreen_button=True ), "numpy", examples=[ [np.zeros((3, 3)).tolist()], [np.ones((2, 2)).tolist()], [np.random.randint(0, 10, (3, 10)).tolist()], ], cache_examples=False ) demo.launch()