add subplots

test.py

-import numpy as np
-import matplotlib.pyplot as plt
-from plotid.tagplot import tagplot
-from plot_serializer.serializer import Serializer
-from plot_serializer.deserializer import Deserializer
-
-np.random.seed(19680801)
-
-X = np.linspace(0.5, 3.5, 100)
-Y1 = 3 + np.cos(X)
-Y2 = 1 + np.cos(1 + X / 0.75) / 2
-Y3 = np.random.uniform(Y1, Y2, len(X))
-
-# fig1 = plt.figure(figsize=(7.5, 7.5))
-# ax = fig1.add_axes([0.2, 0.17, 0.68, 0.7], aspect=1)
-# ax2 = fig1.add_axes([0.3, 0.2, 0.8, 0.9], aspect=2)
-# fig,axs = plt.subplots(2,1)
-
-
-
-# ax.set_xlim(0, 4)
-# ax.set_ylim(0, 4)
-
-# ax.tick_params(which="major", width=1.0, length=10, labelsize=14)
-# ax.tick_params(which="minor", width=1.0, length=5, labelsize=10, labelcolor="0.25")
-
-# ax.grid(linestyle="--", linewidth=0.5, color=".25", zorder=-10)
-
-# axs[0].plot(X, Y1, c="C0", lw=2.5, label="Blue signal", zorder=10)
-# axs[0].plot(X, Y2, c="C1", lw=2.5, label="Orange signal")
-# # ax.scatter(X[::3], Y3[::3], label="scatter")
-
-# ax.set_title("Example figure", fontsize=20, verticalalignment="bottom")
-# ax.set_xlabel("TIME in s", fontsize=14)
-# ax.set_ylabel("DISTANCE in m", fontsize=14)
-# ax.legend(loc="upper right", fontsize=14)
-
-# fig2 = plt.subplots(figsize=(7.5, 7.5))
-# ax2 = fig2.add_axes([0.2, 0.17, 0.68, 0.7], aspect=1)
-
-# axs[1].plot(X, Y1 * 2, c="C0", lw=2.5, label="Blue signal", zorder=10)
-# axs[1].plot(X, Y2 * 2, c="C1", lw=2.5, label="Orange signal")
-
-# plotids = tagplot(
-#     [fig1, fig2], "matplotlib", prefix="id:", id_method="random", location="southeast"
-# )
-
-fig,axs = plt.subplots(2,1)
-axs[0].plot(X, Y1, c="C0", lw=2.5, label="Blue signal", zorder=10)
-axs[0].plot(X, Y2, c="C1", lw=2.5, label="Orange signal")
-axs[1].plot(X, Y1 * 2, c="C3", lw=2.5, label="Blue signal", zorder=10)
-axs[1].plot(X, Y2 * 2, c="C4", lw=2.5, label="Orange signal")
-
-
-# fig = plt.figure()
-# ax1 = fig.add_axes([0.1, 0.8, 0.8, 0.4])
-# ax2 = fig.add_axes([0.1, 0.2, 0.8, 0.4])
-
-# ax1.plot(X, Y1, c="C0", lw=2.5, label="Blue signal", zorder=10)
-# ax1.plot(X, Y2, c="C1", lw=2.5, label="Orange signal")
-# ax2.plot(X, Y1, c="C3", lw=2.5, label="Blue signal", zorder=10)
-# ax2.plot(X, Y2, c="C4", lw=2.5, label="Orange signal")
-
-s = Serializer(fig)
-# s.plot.id = plotids.figure_ids[0]
-# s.plot.axes[0].xunit = "second"
-# s.plot.axes[0].yunit = "meter"
-s.add_custom_metadata({"date_created": "22.08.2023"}, s.plot)
-s.add_plot_metadata("1","title1","test")
-s.add_axis_metadata(0,"title0","xlabel","ylabel")
-s.add_axis_metadata(1,"title1","xlabel","ylabel")
-json_object_1 = s.to_json()
-
-# s2 = Serializer(fig2)
-# # s2.add_id(plotids.figure_ids[1])
-# s2.add_custom_metadata({"date_created": "11.08.2023"},s2.plot)
-
-# json_object_2 = s2.to_json()
-
-with open("test_plot.json", "w") as outfile:
-    outfile.write(json_object_1)
-    # outfile.write(json_object_2)
-
-ds = Deserializer()
-fig = ds.json_to_matplotlib("test_plot.json")
-
-fig.show()
-
-plt.show()
-
-
-
-
-pass
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