bqplot Interactive Demo¶Plotting in JupyterLite
bqplot can be installed in this deployment (it provides the bqplot federated extension), but you will need to make your own deployment to have access to other interactive widgets libraries.
import piplite
await piplite.install('bqplot')
from bqplot import *
import numpy as np
import pandas as pd
np.random.seed(0)
n = 100
x = list(range(n))
y = np.cumsum(np.random.randn(n)) + 100.
sc_x = LinearScale()
sc_y = LinearScale()
lines = Lines(
x=x, y=y,
scales={'x': sc_x, 'y': sc_y}
)
ax_x = Axis(scale=sc_x, label='Index')
ax_y = Axis(scale=sc_y, orientation='vertical', label='lines')
Figure(marks=[lines], axes=[ax_x, ax_y], title='Lines')
lines.colors = ['green']
lines.fill = 'bottom'
lines.marker = 'circle'
n = 100
x = list(range(n))
y = np.cumsum(np.random.randn(n))
sc_x = LinearScale()
sc_y = LinearScale()
bars = Bars(
x=x, y=y,
scales={'x': sc_x, 'y': sc_y}
)
ax_x = Axis(scale=sc_x, label='Index')
ax_y = Axis(scale=sc_y, orientation='vertical', label='bars')
Figure(marks=[bars], axes=[ax_x, ax_y], title='Bars', animation_duration=1000)
bars.y = np.cumsum(np.random.randn(n))
from bqplot import *
import numpy as np
import pandas as pd
np.random.seed(0)
y1 = np.cumsum(np.random.randn(150)) + 100.
y2 = np.cumsum(np.random.randn(150)) + 100.
y3 = np.cumsum(np.random.randn(150)) + 100.
y4 = np.cumsum(np.random.randn(150)) + 100.
sc_x = LinearScale()
sc_y = LinearScale()
lines = Lines(x=np.arange(len(y1)), y=[y1, y2, y3, y4],
scales={'x': sc_x, 'y': sc_y})
ax_x = Axis(scale=sc_x, label='Index')
ax_y = Axis(scale=sc_y, orientation='vertical', label='lines')
Figure(marks=[lines], axes=[ax_x, ax_y], title='Lines')