init code sandbox

.gitignore

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+.vscode

hist.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+# data = np.random.randn(1000)
+# plt.hist(data, bins=50)
+# plt.show()
+
+mean = [0, 0]
+cov = [[1, 1], [1, 2]]
+x, y = np.random.multivariate_normal(mean, cov, 10000).T
+
+# plt.hist2d(x, y, bins=30, cmap="Blues")
+plt.hexbin(x, y, gridsize=30, cmap="Oranges")
+cb = plt.colorbar()
+cb.set_label("counts in bin")
+plt.show()

plot-1.py

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+import numpy as np
+import matplotlib as matl
+import matplotlib.pyplot as plt
+import seaborn as sns
+from IPython.display import Image
+
+plt.style.use("seaborn-whitegrid")
+
+x = np.linspace(0, 10, 100)
+
+figure = plt.figure()
+ax = plt.axes()
+
+plt.plot(x, np.sin(x), "-", label="sin(x)")
+plt.plot(x, np.cos(x), "o", label="cos(x)")
+
+
+plt.legend()
+
+plt.show(block=True)

plot-2.py

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+import matplotlib.pyplot as plt
+import numpy as np
+
+rng = np.random.RandomState(0)
+
+
+for marker in ["o", ".", ",", "x", "+", "v", "^", "<", ">", "s", "d"]:
+    plt.plot(rng.rand(5), rng.rand(5), marker, label="marker='{0}'".format(marker))
+
+plt.legend(numpoints=1)
+
+plt.xlim(0, 2)
+
+plt.show()

random-color-spot-plot.py

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+import matplotlib.pyplot as plt
+import numpy as np
+
+rng = np.random.RandomState(0)
+x = rng.randn(100)
+y = rng.randn(100)
+colors = rng.rand(100)
+sizes = 1000 * rng.rand(100)
+
+plt.scatter(x, y, c=colors, s=sizes, alpha=0.5, cmap="viridis")
+plt.colorbar()  # show color scale
+
+plt.show()

sub-plots.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+
+plt.style.use("seaborn-whitegrid")
+
+x = np.linspace(0, 10, 100)
+
+figure = plt.figure()
+ax = plt.axes()
+sub1 = plt.subplot(2, 2, 1)
+sub1.plot(x, np.sin(x), "-", label="sin(x)")
+sub1.legend()
+
+sub2 = plt.subplot(2, 2, 2)
+sub2 = plt.plot(x, np.cos(x), "o", label="cos(x)")
+sub2 = plt.legend()
+
+plt.subplot(2, 2, 3)
+plt.plot(x, np.tan(x), "-", label="tan(x)")
+plt.legend()
+
+
+plt.show(block=True)