lets_plot.layer_labels

class lets_plot.layer_labels(variables: Optional[List[str]] = None)

Configure annotations (for pie chart).

Examples

1from lets_plot import *
2LetsPlot.setup_html()
3data = {'name': ['a', 'b', 'c', 'd', 'b'], 'value': [40, 90, 10, 50, 20 ] }
4ggplot(data) + geom_pie(aes(slice='value', fill='name'), size=15, hole=0.4, \
5                        stat='identity', tooltips = 'none', \
6                        labels=layer_labels().line('@value'))
__init__(variables: Optional[List[str]] = None)

Initialize self.

Parameters
variableslist of str

Variable names to place in the annotation with default formatting.

as_dict()

Return the dictionary of all properties of the object.

Returns
dict

Dictionary of properties.

Examples

1from lets_plot import *
2LetsPlot.setup_html()
3layer_labels().format('@{..prop..}', '.0%') \
4             .line('@name') \
5             .line('(@{..prop..})') \
6             .as_dict()

{'formats': [{'field': '@{..prop..}', 'format': '.0%'}],
 'lines': ['@name', '(@{..prop..})']}
format(field=None, format=None)

Define the format for displaying the value. This format will be applied to the corresponding value specified in the ‘line’ template.

Parameters
fieldstr

Name of an aesthetic or variable that would be formatted. The field name starts with a ‘^’ prefix for aesthetics, the variable name starts with a ‘@’ prefix or without any prefix.

formatstr

Formatting specification. The format contains a number format (‘1.f’), a string template (‘{.1f}’) or a date/time format (‘%d.%m.%y’). The numeric format for non-numeric value will be ignored. If you need to include a brace character in the literal text, it can be escaped by doubling: {{ and }}.

Returns
layer_labels

Annotations specification.

Notes

For more info see https://lets-plot.org/pages/formats.html.

Examples

1from lets_plot import *
2from lets_plot.mapping import *
3LetsPlot.setup_html()
4data = {'name': ['a', 'b', 'c', 'd', 'b'], 'value': [40, 90, 10, 50, 20 ] }
5ggplot(data) + geom_pie(aes(fill=as_discrete('name', order_by='..count..'), weight='value'), \
6                        size=15, tooltips='none', \
7                        labels=layer_labels(['..proppct..']) \
8                                      .format('..proppct..', '{.1f}%'))


 1from lets_plot import *
 2from lets_plot.mapping import *
 3LetsPlot.setup_html()
 4data = {'name': ['a', 'b', 'c', 'd', 'b'], 'value': [40, 90, 10, 50, 20 ] }
 5ggplot(data) + geom_pie(aes(fill=as_discrete('name', order_by='..count..', order=1), weight='value'), \
 6                        size=15, tooltips='none', \
 7                        labels=layer_labels() \
 8                                        .format('^fill', '{{{}}}') \
 9                                        .line('^fill') \
10                                        .format('..count..', 'd') \
11                                        .line('@{..count..}') \
12                                        .format('..prop..', '.1%') \
13                                        .line('@{..prop..}') \
14                                        .format('..sum..', 'of {d}') \
15                                        .line('@{..sum..}'))
line(value)

Line to show in the annotation.

Parameters
valuestr

Enriched string which becomes one line of the annotation.

Returns
layer_labels

Annotations specification.

Notes

Variables and aesthetics can be accessed via special syntax:

  • ^color for aes,

  • @x for variable,

  • @{x + 1} for variable with spaces in the name,

  • @{x^2 + 1} for variable with spaces and ‘^’ symbol in the name,

  • @x^2 for variable with ‘^’ symbol in its name.

A ‘^’ symbol can be escaped with a backslash, a brace character in the literal text - by doubling:

  • ‘x^2’ -> “x^2”

  • ‘{{x}}’ -> “{x}”

Examples

 1from lets_plot import *
 2LetsPlot.setup_html()
 3data = {'name': ['a', 'b', 'c', 'd', 'b'], 'value': [40, 90, 10, 50, 20 ] }
 4ggplot(data) + geom_pie(aes(fill='name', weight='value'), size=15, \
 5                        tooltips='none', \
 6                        labels=layer_labels()\
 7                              .format('..prop..', '.1%')\
 8                              .line('"^fill"')\
 9                              .line('@{..count..}')\
10                              .line('@{..prop..}')\
11                              .line('(@{..sum..})'))
size(value)

Text size in the annotation.

Parameters
valuefloat

Text size in the annotation.

Returns
layer_labels

Annotations specification.

Examples

1from lets_plot import *
2LetsPlot.setup_html()
3data = {'name': ['a', 'b', 'c', 'd', 'b'], 'value': [40, 90, 10, 50, 20 ] }
4ggplot(data) + geom_pie(aes(slice='value', fill='name'), size=15, hole=0.4, \
5                        stat='identity', tooltips = 'none', \
6                        labels=layer_labels().line('@value')
7                                                 .size(25))
props()

Return the dictionary of all properties of the object in their initial form.

Returns
dict

Dictionary of properties.

Examples

1from lets_plot import *
2LetsPlot.setup_html()
3p = ggplot({'x': [0], 'y': [0]}) + geom_point(aes('x', 'y'))
4p.props()

{'data': {'x': [0], 'y': [0]},
 'mapping': <lets_plot.plot.core.FeatureSpec at 0x159b1ff0d60>,
 'data_meta': {}}