""" ================== Contour Label Demo ================== Illustrate some of the more advanced things that one can do with contour labels. See also the :doc:`contour demo example `. """ import matplotlib.pyplot as plt import numpy as np import matplotlib.ticker as ticker # %% # Define our surface delta = 0.025 x = np.arange(-3.0, 3.0, delta) y = np.arange(-2.0, 2.0, delta) X, Y = np.meshgrid(x, y) Z1 = np.exp(-X**2 - Y**2) Z2 = np.exp(-(X - 1)**2 - (Y - 1)**2) Z = (Z1 - Z2) * 2 # %% # Make contour labels with custom level formatters # This custom formatter removes trailing zeros, e.g. "1.0" becomes "1", and # then adds a percent sign. def fmt(x): s = f"{x:.1f}" if s.endswith("0"): s = f"{x:.0f}" return rf"{s} \%" if plt.rcParams["text.usetex"] else f"{s} %" # Basic contour plot fig, ax = plt.subplots() CS = ax.contour(X, Y, Z) ax.clabel(CS, CS.levels, fmt=fmt, fontsize=10) # %% # Label contours with arbitrary strings using a dictionary fig1, ax1 = plt.subplots() # Basic contour plot CS1 = ax1.contour(X, Y, Z) fmt = {} strs = ['first', 'second', 'third', 'fourth', 'fifth', 'sixth', 'seventh'] for l, s in zip(CS1.levels, strs): fmt[l] = s # Label every other level using strings ax1.clabel(CS1, CS1.levels[::2], fmt=fmt, fontsize=10) # %% # Use a Formatter fig2, ax2 = plt.subplots() CS2 = ax2.contour(X, Y, 100**Z, locator=plt.LogLocator()) fmt = ticker.LogFormatterMathtext() fmt.create_dummy_axis() ax2.clabel(CS2, CS2.levels, fmt=fmt) ax2.set_title("$100^Z$") plt.show() # %% # # .. admonition:: References # # The use of the following functions, methods, classes and modules is shown # in this example: # # - `matplotlib.axes.Axes.contour` / `matplotlib.pyplot.contour` # - `matplotlib.axes.Axes.clabel` / `matplotlib.pyplot.clabel` # - `matplotlib.ticker.LogFormatterMathtext` # - `matplotlib.ticker.TickHelper.create_dummy_axis`