.. note:: :class: sphx-glr-download-link-note Click :ref:`here ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_gallery_scales_scales.py: ====== Scales ====== Illustrate the scale transformations applied to axes, e.g. log, symlog, logit. .. image:: /gallery/scales/images/sphx_glr_scales_001.png :class: sphx-glr-single-img .. code-block:: python import numpy as np import matplotlib.pyplot as plt from matplotlib.ticker import NullFormatter # Fixing random state for reproducibility np.random.seed(19680801) # make up some data in the interval ]0, 1[ y = np.random.normal(loc=0.5, scale=0.4, size=1000) y = y[(y > 0) & (y < 1)] y.sort() x = np.arange(len(y)) # plot with various axes scales fig, axs = plt.subplots(2, 2, sharex=True) fig.subplots_adjust(left=0.08, right=0.98, wspace=0.3) # linear ax = axs[0, 0] ax.plot(x, y) ax.set_yscale('linear') ax.set_title('linear') ax.grid(True) # log ax = axs[0, 1] ax.plot(x, y) ax.set_yscale('log') ax.set_title('log') ax.grid(True) # symmetric log ax = axs[1, 1] ax.plot(x, y - y.mean()) ax.set_yscale('symlog', linthreshy=0.02) ax.set_title('symlog') ax.grid(True) # logit ax = axs[1, 0] ax.plot(x, y) ax.set_yscale('logit') ax.set_title('logit') ax.grid(True) ax.yaxis.set_minor_formatter(NullFormatter()) plt.show() .. _sphx_glr_download_gallery_scales_scales.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download :download:`Download Python source code: scales.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: scales.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature Keywords: matplotlib code example, codex, python plot, pyplot `Gallery generated by Sphinx-Gallery `_