New ScreenPanel

script/jepscript2.py

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+import numpy as np
+import matplotlib.pyplot as plt
+
+# example data
+
+x = np.arange(0.1, 4, 0.5)
+y = np.exp(-x)
+
+# example variable error bar values
+yerr = 0.1 + 0.2*np.sqrt(x)
+xerr = 0.1 + yerr
+
+# First illustrate basic pyplot interface, using defaults where possible.
+plt.figure()
+plt.errorbar(x, y, xerr=0.2, yerr=0.4)
+plt.title("Simplest errorbars, 0.2 in x, 0.4 in y")
+
+# Now switch to a more OO interface to exercise more features.
+fig, axs = plt.subplots(nrows=2, ncols=2, sharex=True)
+ax = axs[0,0]
+ax.errorbar(x, y, yerr=yerr, fmt='o')
+ax.set_title('Vert. symmetric')
+
+# With 4 subplots, reduce the number of axis ticks to avoid crowding.
+ax.locator_params(nbins=4)
+
+ax = axs[0,1]
+ax.errorbar(x, y, xerr=xerr, fmt='o')
+ax.set_title('Hor. symmetric')
+
+ax = axs[1,0]
+ax.errorbar(x, y, yerr=[yerr, 2*yerr], xerr=[xerr, 2*xerr], fmt='--o')
+ax.set_title('H, V asymmetric')
+
+ax = axs[1,1]
+ax.set_yscale('log')
+# Here we have to be careful to keep all y values positive:
+ylower = np.maximum(1e-2, y - yerr)
+yerr_lower = y - ylower
+
+ax.errorbar(x, y, yerr=[yerr_lower, 2*yerr], xerr=xerr,
+            fmt='o', ecolor='g', capthick=2)
+ax.set_title('Mixed sym., log y')
+
+fig.suptitle('Variable errorbars')
+
+plt.show()