#server.main()
clear()
if __name__ == "__main__":
import d3py
if True:
# line plot example
T = 5*np.pi
x = np.linspace(-T,T,100)
colours = ["red","blue","green"]
for a,c in zip([0.1, 0.2, 0.3], colours):
y = np.exp(-a*x) * np.sin(x)
d3py.line(x, y, xlabel="time", ylabel="value", color=c)
if False:
# histogram example
d3py.histogram(np.random.standard_normal(1000), density=True)
if False:
# scatter example
n = 400
d1 = np.random.multivariate_normal([1,1], 0.5*np.eye(2), size=n)
d2 = list(np.random.multivariate_normal([-1,-1], 2*np.eye(2), size=n))
x = [d[0] for d in d1] + [d[0] for d in d2]
y = [d[1] for d in d1] + [d[1] for d in d2]
c = ["crimson" for i in range(n)] + ["green" for i in range(n)]
d3py.scatter(x, y, c, xlabel="pigs", ylabel="cows")
webbrowser.open("http://localhost:7666/scatter", new=True)
elif refresh == "manual":
pass
if __name__ == "__main__":
import d3py
if False:
# line plot example
T = 5 * np.pi
x = np.linspace(-T, T, 100)
a = 0.05
y = np.exp(-a * x) * np.sin(x)
d3py.line(x, y, xlabel="time", ylabel="value")
if False:
# histogram example
d3py.histogram(np.random.standard_normal(1000), density=True)
if True:
# scatter example
n = 400
d1 = np.random.multivariate_normal([1, 1], 0.5 * np.eye(2), size=n)
d2 = list(np.random.multivariate_normal([-1, -1], 2 * np.eye(2), size=n))
x = [d[0] for d in d1] + [d[0] for d in d2]
y = [d[1] for d in d1] + [d[1] for d in d2]
c = ["crimson" for i in range(n)] + ["green" for i in range(n)]
d3py.scatter(x, y, c, xlabel="pigs", ylabel="cows")