Communicating with text

Interactive Data Visualization with Bokeh

George Boorman

Core Curriculum Manager, DataCamp

Our plot

plot_without_title

Adding a title

fig = figure(x_axis_label='Assists per Game', y_axis_label='Points per Game',

             title="Points vs. Assists by Conference")

fig.circle(x='assists', y='points', source=east, color='blue', legend_label='East')
fig.circle(x='assists', y='points', source=west, color='red', legend_label='West')
output_file(filename="points_vs_assists_by_conference.html")
show(fig)

plot_with_title

Customizing the title

fig.title.text_font_size = "30px"

fig.title.align = "center"

output_file(filename="modified_title.html")
show(fig)

customized_title

Modifying the legend

fig.legend.title = "Conference"

fig.legend.location = "bottom_right"

show(fig)

`legend.location`
`"top_left"`
`"top_right"`
`"bottom_left"`
`"bottom_right"`

italic_legend_title

Legend title's font style

`legend.title_text_font_style`
`"bold"`
`"normal"`
`"italic"`

Legend title font style

fig.legend.title_text_font_style = "normal"

output_file(filename="normal_legend_title.html")
show(fig)

normal_legend_title

Displaying an interactive legend

fig.legend.click_policy = "hide"

output_file(filename="interactive_legend.html")
show(fig)

interactive_legend

The dataset

print(bakery.shape)

(17486, 6)

print(bakery.columns)

Index(['transaction', 'items', 'day_time', 'day_type', 'date', 'sales'],
dtype='object')

Let's practice!

Interactive Data Visualization with Bokeh