def scatterplot(self, x=0, y=1, path=None, width=None, height=None):
"""
Render a lattice/grid of scatterplots using :class:`leather.Lattice`.
:param x:
The name or index of a column to plot as the x axis of the chart.
Defaults to the first column in the table.
:param y:
The name or index of a column to plot as the y axis of the chart.
Defaults to the second column in the table.
:param path:
If specified, the resulting SVG will be saved to this location. If
:code:`None` and running in IPython, then the SVG will be rendered
inline. Otherwise, the SVG data will be returned as a string.
:param width:
The width of the output SVG.
:param height:
The height of the output SVG.
"""
if type(x) is int:
x_name = self.column_names[x]
else:
x_name = x
if type(y) is int:
y_name = self.column_names[y]
else:
y_name = y
chart = leather.Lattice(shape=leather.Dots())
chart.add_x_axis(name=x_name)
chart.add_y_axis(name=y_name)
chart.add_many(self.values(), x=x, y=y, titles=self.keys())
return chart.to_svg(path=path, width=width, height=height)
def setUp(self):
self.shape = leather.Dots('red')
self.linear = leather.Linear(0, 10)
self.ordinal = leather.Ordinal(['foo', 'bar', 'bing'])
self.palette = (color for color in ['red', 'white', 'blue'])
import leather
import math
import csv
chart = leather.Chart('Income vs. health')
with open('data.csv', 'r') as csvfile:
reader = csv.DictReader(csvfile)
data = list(reader)
def size_dot_by_area(x, y, i):
return math.sqrt(int(data[i]['population'])) / 1000
dots = leather.Dots('rgba(0,0,0,0.5)', radius=size_dot_by_area)
series = leather.Series(data,
dots,
x=lambda row, i: math.log(float(row['income'])),
y=lambda row, i: float(row['health']))
chart.add_series(series)
chart.set_x_axis(leather.Axis(name='Log GDP per capita'))
chart.set_y_axis(leather.Axis(name='Life expectancy in years'))
chart.to_svg('chart.svg')
def setUp(self):
self.shape = leather.Dots('red')
def setUp(self):
self.shape = leather.Dots('red')
self.linear = leather.Linear(0, 10)
self.ordinal = leather.Ordinal(['foo', 'bar', 'bing'])