lets_plot.plot.core.PlotSpec

class lets_plot.plot.core.PlotSpec(data, mapping, scales, layers, metainfo_list=[], is_livemap=False, crs_initialized=False, crs=None, **kwargs)

A class of the initial plot object.

Do not use this class explicitly.

Instead, you should construct its objects with functions ggplot(), corr_plot(…).points().build() etc.

__init__(data, mapping, scales, layers, metainfo_list=[], is_livemap=False, crs_initialized=False, crs=None, **kwargs)

Initialize self.

get_plot_shared_data()

Extract the data shared by all layers.

Returns

dict or DataFrame

Object data.

Examples

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

{'x': [0], 'y': [0]}

has_layers() → bool

Check if the PlotSpec object has at least one layer.

Returns

bool

True if object has layers.

Examples

from lets_plot import *
LetsPlot.setup_html()
p = ggplot()
print(p.has_layers())
p += geom_point(x=0, y=0)
print(p.has_layers())

False
True

__add__(other)

Allow to add different specs to the PlotSpec object.

Examples

from lets_plot import *
LetsPlot.setup_html()
p = ggplot({'x': [0, 1, 2], 'y': [0, 1, 2]}, aes('x', 'y'))
l = layer('point', mapping=aes(color='x'))
s = scale_color_discrete()
t = theme(axis_title='blank')
p + l + s + t

as_dict()

Return the dictionary of all properties of the object with as_dict() applied recursively to all subproperties of FeatureSpec type.

Returns

dict

Dictionary of properties.

Examples

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

{'data': {'x': [0], 'y': [0]},
 'mapping': {},
 'data_meta': {},
 'kind': 'plot',
 'scales': [],
 'layers': [{'geom': 'point',
   'mapping': {'x': 'x', 'y': 'y'},
   'data_meta': {}}],
 'metainfo_list': []}

show()

Draw a plot.

Examples

from lets_plot import *
LetsPlot.setup_html()
p = ggplot() + geom_point(x=0, y=0)
p.show()

props()

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

Returns

dict

Dictionary of properties.

Examples

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

{'data': {'x': [0], 'y': [0]},
 'mapping': <lets_plot.plot.core.FeatureSpec at 0x1f059f91ca0>,
 'data_meta': {}}