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Usage
=====
The following code examples are static, but you can make them executable and test bqplot
by clicking the following button:
.. thebe-button:: Click me!
Examples
--------
Using the pyplot API:
.. jupyter-execute::
import numpy as np
from bqplot import pyplot as plt
plt.figure(1, title="Line Chart")
np.random.seed(0)
n = 200
x = np.linspace(0.0, 10.0, n)
y = np.cumsum(np.random.randn(n))
plt.plot(x, y)
plt.show()
Using the bqplot internal object model:
.. jupyter-execute::
import numpy as np
from IPython.display import display
from bqplot import OrdinalScale, LinearScale, Bars, Lines, Axis, Figure
size = 20
np.random.seed(0)
x_data = np.arange(size)
x_ord = OrdinalScale()
y_sc = LinearScale()
bar = Bars(
x=x_data, y=np.random.randn(2, size), scales={"x": x_ord, "y": y_sc}, type="stacked"
)
line = Lines(
x=x_data,
y=np.random.randn(size),
scales={"x": x_ord, "y": y_sc},
stroke_width=3,
colors=["red"],
display_legend=True,
labels=["Line chart"],
)
ax_x = Axis(scale=x_ord, grid_lines="solid", label="X")
ax_y = Axis(
scale=y_sc,
orientation="vertical",
tick_format="0.2f",
grid_lines="solid",
label="Y",
)
Figure(
marks=[bar, line],
axes=[ax_x, ax_y],
title="API Example",
legend_location="bottom-right",
)
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