New Scale Transformations: log2 and symlog

from lets_plot import *

LetsPlot.setup_html()

def get_data(n):
    import numpy as np
    import pandas as pd

    x = np.arange(-n, n + 1).astype(float)
    y = np.where(x >= 0, np.where(x == 0, x, np.power(np.e, x)), -np.power(np.e, -x))

    return pd.DataFrame({'x': x, 'y': y})

df = get_data(10)
df.tail()

	x	y
16	6.0	403.428793
17	7.0	1096.633158
18	8.0	2980.957987
19	9.0	8103.083928
20	10.0	22026.465795

p = ggplot(df, aes('x', 'y')) + geom_point()

gggrid([
    p + ggtitle("Default"),
    p + scale_y_continuous(trans='symlog') + ggtitle("trans='symlog'"),
    p + scale_y_continuous(trans='log10') + ggtitle("trans='log10'"),
    p + scale_y_continuous(trans='log2') + ggtitle("trans='log2'"),
], ncol=2)