Scales are computed automaticaly between the min and the max values.
You may want to always have the absissa in your graph:
chart = pygal.Line(include_x_axis=True) chart.add('line', [.0002, .0005, .00035])
chart = pygal.Line(inverse_y_axis=True) chart.add('line', [.0002, .0005, .00035])
In pygal you can override automatic scaling by setting y_labels to the values you want, but if you want to change the scaling range and keep auto scaling in it, you can set a range which is a tuple containing the desired min and max:
chart = pygal.Line(range=(.0001, .001)) chart.add('line', [.0002, .0005, .00035])
For xy graph xrange can be used for the x axis.
chart = pygal.XY(xrange=(10, 30)) chart.add('line', [(10, .0002), (15, .0005), (12, .00035)])
For chart with two axis, the secondary_range defines the range for the secondary axis.
chart = pygal.Line(secondary_range=(10, 25)) chart.add('primary', [.0002, .0005, .00035]) chart.add('secondary', [10, 15, 12], secondary=True)
You can set the scale to be logarithmic:
chart = pygal.Line(logarithmic=True) values = [1, 3, 43, 123, 1231, 23192] chart.x_labels = map(str, values) chart.add('log example', values)
Caution
Negative values are ignored
You can specify the minimum number of scale graduation to generate with auto scaling if possible.
chart = pygal.Line(min_scale=12) chart.add('line', [1, 10, 100, 50, 25])
You can specify the maximum number of scale graduation to generate with auto scaling if possible.
chart = pygal.Line(max_scale=6) chart.add('line', [1, 10, 100, 50, 25])
You can specify at which precision pygal should stop scaling (in log10) usefull in conjuction of the two previous properties:
chart = pygal.Line(order_min=1) chart.add('line', [1, 10, 100, 50, 25])