> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wandb.ai/llms.txt
> Use this file to discover all available pages before exploring further.
# histogram
export const GitHubLink = ({url}) =>
GitHub source
;
### function `histogram`
```python theme={null}
histogram(
table: 'wandb.Table',
value: 'str',
title: 'str' = '',
split_table: 'bool' = False
) → CustomChart
```
Constructs a histogram chart from a W\&B Table.
**Args:**
* `table`: The W\&B Table containing the data for the histogram.
* `value`: The label for the bin axis (x-axis).
* `title`: The title of the histogram plot.
* `split_table`: 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:**
```python theme={null}
import math
import random
import wandb
# Generate random data
data = [[i, random.random() + math.sin(i / 10)] for i in range(100)]
# Create a W&B Table
table = wandb.Table(
data=data,
columns=["step", "height"],
)
# Create a histogram plot
histogram = wandb.plot.histogram(
table,
value="height",
title="My Histogram",
)
# Log the histogram plot to W&B
with wandb.init(...) as run:
run.log({"histogram-plot1": histogram})
```