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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)]))
return regular_df, wide_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)]))
return regular_empty_df, wide_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,
static_columns=[4]
)
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,
)
tall_df_value = [
["DeepSeek Coder", 79.3, True],
["Llama 3.3", 68.9, True],
["Qwen 2.5", 61.9, True],
["Gemma 2", 59.5, False],
["GPT 2", 18.3, False],
]
def get_display_value(values):
display_values = []
medals = ["🥇", "🥈", "🥉"]
for i, row in enumerate(values):
if i < 3:
display_values.append([f"{medals[i]} {row[0]}", row[1]])
else:
display_values.append([row[0], row[1]])
return display_values
display_value = get_display_value(tall_df_value)
tall_df_value = {
"data": tall_df_value,
"headers": ["Model", "% Correct (LeetCode Hard)", "Is Open Source"],
"metadata": {
"display_value": display_value
}
}
with gr.Row():
with gr.Column():
df_tall = gr.Dataframe(
value=tall_df_value,
interactive=False,
label="Tall Dataframe (Scroll Vertically)",
datatype=["str", "number", "bool"],
max_height=200,
show_label=True,
elem_id="dataframe_tall",
show_copy_button=True,
show_row_numbers=True,
show_search="search",
)
df_tall_selected_cell_index = gr.Textbox(
label="Tall dataframe selected cell index", elem_id="tall_selected_cell_index"
)
df_tall_selected_cell_value = gr.Textbox(
label="Tall dataframe selected cell value", elem_id="tall_selected_cell_value"
)
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])
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],
)
df_tall.select(
fn=increment_select_counter,
inputs=[select_events],
outputs=[select_events, df_tall_selected_cell_index, df_tall_selected_cell_value],
)
if __name__ == "__main__":
demo.launch()
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