def test_plot_one_year():
x = rolex.time_series(
"2016-01-01 00:00:00", "2016-12-31 23:59:59", freq="7day")
y1 = np.random.random(len(x))
y2 = np.random.random(len(x))
plot_one_year((x, x), (y1, y2),
xlabel="Time", ylabel="Stock Value", title="Stock Trends",
legend=["Stock 1", "Stock 2"]).show()
def test_plot_two_scales():
x = rolex.time_series(
"2016-01-01 00:00:00", "2016-01-01 23:59:59", freq="10min")
y11 = np.random.random(len(x))
y12 = np.random.random(len(x))
y21 = np.random.random(len(x)) * 10
y22 = np.random.random(len(x)) * 10
plot_two_scales((x, x), (y11, y12), (x, x), (y21, y22),
xlabel="Time", ylabel1="Interests Value", ylabel2="Stock Value", title="Stock Trends",
legend=["Interests1", "Interests2", "Stock1", "Stock2"]).show()
def test_plot_one_year():
x = rolex.time_series("2016-01-01 00:00:00",
"2016-12-31 23:59:59",
freq="7day")
y1 = np.random.random(len(x))
y2 = np.random.random(len(x))
plot_one_year((x, x), (y1, y2),
xlabel="Time",
ylabel="Stock Value",
title="Stock Trends",
legend=["Stock 1", "Stock 2"]).show()
def test_plot_two_scales():
x = rolex.time_series("2016-01-01 00:00:00",
"2016-01-01 23:59:59",
freq="10min")
y11 = np.random.random(len(x))
y12 = np.random.random(len(x))
y21 = np.random.random(len(x)) * 10
y22 = np.random.random(len(x)) * 10
plot_two_scales(
(x, x), (y11, y12), (x, x), (y21, y22),
xlabel="Time",
ylabel1="Interests Value",
ylabel2="Stock Value",
title="Stock Trends",
legend=["Interests1", "Interests2", "Stock1", "Stock2"]).show()
