Spaces:
Sleeping
Sleeping
File size: 7,686 Bytes
0176efe 7935209 0176efe 7935209 bdb2b5b 0176efe 7935209 0176efe bdb2b5b 0176efe 7935209 0176efe 7935209 3aeebef 7935209 3aeebef 7935209 0176efe 7935209 0176efe 7935209 0176efe 7935209 0176efe 7935209 0176efe 7935209 0176efe bdb2b5b b194ef1 66163be bdb2b5b b194ef1 7935209 bdb2b5b 0176efe bdb2b5b 44071c0 bdb2b5b 7935209 bdb2b5b 7935209 bdb2b5b 7935209 bdb2b5b 0176efe 3aeebef 0176efe 7935209 0176efe bdb2b5b 7935209 0176efe 3aeebef 0176efe bdb2b5b 7935209 bdb2b5b 0176efe | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 | 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
def edit_dataframe(evt: gr.EditData, count):
event_data = ", ".join(
[
f"index: {evt.index}",
f"value: {evt.value}",
f"previous_value: {evt.previous_value}",
]
)
return event_data, count + 1
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",
buttons=["copy"],
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",
buttons=["copy", "fullscreen"],
show_row_numbers=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],
["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],
["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],
["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],
["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],
["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],
["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],
["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],
["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],
["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"], # type: ignore
max_height=200,
show_label=True,
elem_id="dataframe_tall",
buttons=["copy"],
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"
)
edit_events = gr.Number(value=0, label="Edit events", elem_id="edit_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"
)
edit_data = gr.Textbox(label="Edit event data", elem_id="edit_data")
update_btn.click(fn=update_dataframe, outputs=[df, df_view])
clear_btn.click(fn=clear_dataframes, outputs=[df, df_view])
df.change(fn=lambda x: x + 1, inputs=[change_events], outputs=[change_events])
df.edit(edit_dataframe, inputs=[edit_events], outputs=[edit_data, edit_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()
|