ggplot_step¶
< ggplot_line | back to Gallery | seaborn_violin >
from ggplot import aes, geom_step, ggplot
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from bokeh import mpl
from bokeh.plotting import output_file, show
df = pd.DataFrame({
"x": range(100),
"y": np.random.choice([-1, 1], 100)
})
df.y = df.y.cumsum()
g = ggplot(aes(x='x', y='y'), data=df) + geom_step()
g.make()
plt.title("Step ggplot-based plot in Bokeh.")
output_file("ggplot_step.html", title="ggplot_step.py example")
show(mpl.to_bokeh())