File size: 2,164 Bytes
9c6594c |
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 |
from __future__ import annotations
from typing import TYPE_CHECKING
from wandb.plot.custom_chart import plot_table
if TYPE_CHECKING:
import wandb
from wandb.plot.custom_chart import CustomChart
def bar(
table: wandb.Table,
label: str,
value: str,
title: str = "",
split_table: bool = False,
) -> CustomChart:
"""Constructs a bar chart from a wandb.Table of data.
Args:
table (wandb.Table): A table containing the data for the bar chart.
label (str): The name of the column to use for the labels of each bar.
value (str): The name of the column to use for the values of each bar.
title (str): The title of the bar chart.
split_table (bool): Whether the table should be split into a separate section
in the W&B UI. If `True`, the table will be displayed in a section named
"Custom Chart Tables". Default is `False`.
Returns:
CustomChart: A custom chart object that can be logged to W&B. To log the
chart, pass it to `wandb.log()`.
Example:
```
import random
import wandb
# Generate random data for the table
data = [
["car", random.uniform(0, 1)],
["bus", random.uniform(0, 1)],
["road", random.uniform(0, 1)],
["person", random.uniform(0, 1)],
]
# Create a table with the data
table = wandb.Table(data=data, columns=["class", "accuracy"])
# Initialize a W&B run and log the bar plot
with wandb.init(project="bar_chart") as run:
# Create a bar plot from the table
bar_plot = wandb.plot.bar(
table=table,
label="class",
value="accuracy",
title="Object Classification Accuracy",
)
# Log the bar chart to W&B
run.log({"bar_plot": bar_plot})
```
"""
return plot_table(
data_table=table,
vega_spec_name="wandb/bar/v0",
fields={"label": label, "value": value},
string_fields={"title": title},
split_table=split_table,
)
|