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()