`stroke` aesthetic¶

Affects the thickness of the point boundaries (in case the given shape has a boundary).

Available for the following geometries: geom_point(), geom_jitter(), geom_qq(), geom_qq2(), geom_pointrange(), geom_dotplot(), geom_ydotplot().

In [1]:

from lets_plot import *

In [2]:

LetsPlot.setup_html()

In [3]:

data1 = {
    'x': (list(range(7)) * 4)[:26],
    'y': ([3] * 7 + [2] * 7 + [1] * 7 + [0] * 7)[:26],
    'shape': list(range(26)),
}

In [4]:

p1 = ggplot(data1, aes('x', 'y')) + scale_shape_identity() + \
    xlim(-1, 7) + ylim(-1, 4) + \
    theme(legend_position='none')

1. Default Stroke¶

In [5]:

p1 + geom_point(aes(shape='shape'), size=12, color="#54278f", fill="#dd1c77")

Out[5]:

2. Increased Stroke¶

In [6]:

p1 + geom_point(aes(shape='shape'), size=12, stroke=6, color="#54278f", fill="#dd1c77")

Out[6]:

3. Stroke Scales¶

In [7]:

data2 = {
    'x': [0, 1, 2],
    'y': [0, 0, 0],
    'stroke': [4, 16, 8],
}

In [8]:

p2 = ggplot(data2, aes('x', 'y')) + \
    geom_point(aes(stroke='stroke'), size=12, shape=21, color="#54278f", fill="#dd1c77")

In [9]:

gggrid([
    p2 + ggtitle("Default scale"),
    p2 + scale_stroke(range=[2, 4]) + ggtitle("scale_stroke()"),
    p2 + scale_stroke_identity() + ggtitle("scale_stroke_identity()"),
], ncol=2)

Out[9]:

stroke aesthetic¶

1. Default Stroke¶

2. Increased Stroke¶

3. Stroke Scales¶

`stroke` aesthetic¶