In Bokeh, line glyphs can be added to a figure using the `line()` method for a single line or `multi_line()` for multiple lines.

```python
p1.line([1, 2, 3, 4], [3, 4, 5, 6], line_width=2)

p2.multi_line(
    pd.DataFrame([[1, 2, 3], [5, 6, 7]]), 
    pd.DataFrame([[3, 4, 5], [3, 2, 1]]), 
    color="blue"
)
```

Bokeh Line Glyphs

In Bokeh, scatter markers can be added to a figure using glyph methods like `circle()` or `square()`. ```python p1.circle(np.array([1,2,3]), np.array([3,2,1]), fill_color='white') p2.square(np.array([1.5,3.5,5.5]), [1,4,3], color='blue', size=1) ```

Bokeh Scatter Markers

Michigan State University

1. Glyphs

2. Customized Glyphs

3. Legend Location

4. Legend Orientation

5. Legend Background and Border

6. Rows & Columns Layout

7. Grid Layout

8. Tabbed Layout

9. Linked Plots


Renderers & Visual Customizations

Glyphs

1. Selection and Non-Selections Glyphs

2. Hover Glyphs

3. Colormapping

Customized Glyphs

Inside Plot Area
```
p.legend.location = 'bottom_left'
```
Outside Plot Area
```
from bokeh.models import Legend
r1 = p2.asterisk(np.array([1,2,3]), np.array([3,2,1])
r2 = p2.line([1,2,3,4], [3,4,5,6])
legend = Legend(items=[("One" ,[p1, r1]),("Two",[r2])],

                    location=(0, -30))
p.add_layout(legend, 'right')
```

Legen Location

```
p.legend.orientation = "horizontal"
p.legend.orientation = "vertical"

Legend Orientation

```
p.legend.border_line_color = "navy"
p.legend.background_fill_color = "white"
 

Legend Background and Border

Rows
```
from bokeh.layouts import row
layout = row(p1,p2,p3)
```
Columns
```
from bokeh.layouts import columns
layout = column(p1,p2,p3)
```
Nesting Rows & Columns
```
layout = row(column(p1,p2), p3)
```

Rows and Columns Layout

```
from bokeh.models.widgets import Panel, Tabs
tab1 = Panel(child=p1, title="tab1")
tab2 = Panel(child=p2, title="tab2")
layout = Tabs(tabs=[tab1, tab2])
 ```

Tabbed Layout

**Linked Axes**
```python
p2.x_range = p1.x_range
p2.y_range = p1.y_range
```
**Linked Brushing**
```python
p4 = figure(plot_width = 100, tools='box_select,lasso_select')
p4.circle('mpg', 'cyl', source=cds_df)
p5 = figure(plot_width = 200, tools='box_select,lasso_select')
p5.circle('mpg', 'hp', source=cds_df)
layout = row(p4,p5)
```

Learn Before

Related

Learn After