viz.stem(
X=X,
Y=Y,
opts=dict(legend=['Sine', 'Cosine'])
)
# quiver plot
X = np.arange(0, 2.1, .2)
Y = np.arange(0, 2.1, .2)
X = np.broadcast_to(np.expand_dims(X, axis=1), (len(X), len(X)))
Y = np.broadcast_to(np.expand_dims(Y, axis=0), (len(Y), len(Y)))
U = np.multiply(np.cos(X), Y)
V = np.multiply(np.sin(X), Y)
viz.quiver(
X=U,
Y=V,
opts=dict(normalize=0.9),
)
# pie chart
X = np.asarray([19, 26, 55])
viz.pie(
X=X,
opts=dict(legend=['Residential', 'Non-Residential', 'Utility'])
)
# scatter plot example with various type of updates
colors = np.random.randint(0, 255, (2, 3,))
win = viz.scatter(
X=np.random.rand(255, 2),
Y=(np.random.rand(255) + 1.5).astype(int),
# stemplot
Y = np.linspace(0, 2 * math.pi, 70)
X = np.column_stack((np.sin(Y), np.cos(Y)))
viz.stem(X=X, Y=Y, opts=dict(legend=['Sine', 'Cosine']))
# quiver plot
X = np.arange(0, 2.1, .2)
Y = np.arange(0, 2.1, .2)
X = np.broadcast_to(np.expand_dims(X, axis=1), (len(X), len(X)))
Y = np.broadcast_to(np.expand_dims(Y, axis=0), (len(Y), len(Y)))
U = np.multiply(np.cos(X), Y)
V = np.multiply(np.sin(X), Y)
viz.quiver(
X=U,
Y=V,
opts=dict(normalize=0.9),
)
# pie chart
X = np.asarray([19, 26, 55])
viz.pie(X=X,
opts=dict(legend=['Residential', 'Non-Residential', 'Utility']))
# scatter plot example with various type of updates
colors = np.random.randint(0, 255, (
2,
3,
))
win = viz.scatter(
X=np.random.rand(255, 2),
X[:, 1] += 2 vis.boxplot(X=X,opts=dict(legend=['Men', 'Women'])) # stemplot Y = np.linspace(0, 2 * math.pi, 70) X = np.column_stack((np.sin(Y), np.cos(Y))) vis.stem(X=X,Y=Y,opts=dict(legend=['Sine', 'Cosine'])) # quiver plot X = np.arange(0, 2.1, .2) Y = np.arange(0, 2.1, .2) X = np.broadcast_to(np.expand_dims(X, axis=1), (len(X), len(X))) Y = np.broadcast_to(np.expand_dims(Y, axis=0), (len(Y), len(Y))) U = np.multiply(np.cos(X), Y) V = np.multiply(np.sin(X), Y) vis.quiver(X=U,Y=V,opts=dict(normalize=0.9)) # pie chart X = np.asarray([19, 26, 55]) vis.pie(X=X, opts=dict(legend=['Residential', 'Non-Residential', 'Utility'])) # mesh plot x = [0, 0, 1, 1, 0, 0, 1, 1] y = [0, 1, 1, 0, 0, 1, 1, 0] z = [0, 0, 0, 0, 1, 1, 1, 1] X = np.c_[x, y, z] i = [7, 0, 0, 0, 4, 4, 6, 6, 4, 0, 3, 2] j = [3, 4, 1, 2, 5, 6, 5, 2, 0, 1, 6, 3] k = [0, 7, 2, 3, 6, 7, 1, 1, 5, 5, 7, 6] Y = np.c_[i, j, k] vis.mesh(X=X, Y=Y, opts=dict(opacity=0.5))
