| """ | |
| =========== | |
| Symlog Demo | |
| =========== | |
| Example use of symlog (symmetric log) axis scaling. | |
| """ | |
| import matplotlib.pyplot as plt | |
| import numpy as np | |
| dt = 0.01 | |
| x = np.arange(-50.0, 50.0, dt) | |
| y = np.arange(0, 100.0, dt) | |
| fig, (ax0, ax1, ax2) = plt.subplots(nrows=3) | |
| ax0.plot(x, y) | |
| ax0.set_xscale('symlog') | |
| ax0.set_ylabel('symlogx') | |
| ax0.grid() | |
| ax0.xaxis.grid(which='minor') # minor grid on too | |
| ax1.plot(y, x) | |
| ax1.set_yscale('symlog') | |
| ax1.set_ylabel('symlogy') | |
| ax2.plot(x, np.sin(x / 3.0)) | |
| ax2.set_xscale('symlog') | |
| ax2.set_yscale('symlog', linthresh=0.015) | |
| ax2.grid() | |
| ax2.set_ylabel('symlog both') | |
| fig.tight_layout() | |
| plt.show() | |
| # %% | |
| # It should be noted that the coordinate transform used by ``symlog`` | |
| # has a discontinuous gradient at the transition between its linear | |
| # and logarithmic regions. The ``asinh`` axis scale is an alternative | |
| # technique that may avoid visual artifacts caused by these discontinuities. | |
| # %% | |
| # | |
| # .. admonition:: References | |
| # | |
| # - `matplotlib.scale.SymmetricalLogScale` | |
| # - `matplotlib.ticker.SymmetricalLogLocator` | |
| # - `matplotlib.scale.AsinhScale` | |