.. only:: html
.. 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_log_bar.py:
=======
Log Bar
=======
Plotting a bar chart with a logarithmic y-axis.
.. image:: /gallery/scales/images/sphx_glr_log_bar_001.png
:alt: log bar
:class: sphx-glr-single-img
.. code-block:: default
import matplotlib.pyplot as plt
import numpy as np
data = ((3, 1000), (10, 3), (100, 30), (500, 800), (50, 1))
dim = len(data[0])
w = 0.75
dimw = w / dim
fig, ax = plt.subplots()
x = np.arange(len(data))
for i in range(len(data[0])):
y = [d[i] for d in data]
b = ax.bar(x + i * dimw, y, dimw, bottom=0.001)
ax.set_xticks(x + dimw / 2)
ax.set_xticklabels(map(str, x))
ax.set_yscale('log')
ax.set_xlabel('x')
ax.set_ylabel('y')
plt.show()
.. _sphx_glr_download_gallery_scales_log_bar.py:
.. only :: html
.. container:: sphx-glr-footer
:class: sphx-glr-footer-example
.. container:: sphx-glr-download sphx-glr-download-python
:download:`Download Python source code: log_bar.py `
.. container:: sphx-glr-download sphx-glr-download-jupyter
:download:`Download Jupyter notebook: log_bar.ipynb `
.. only:: html
.. rst-class:: sphx-glr-signature
Keywords: matplotlib code example, codex, python plot, pyplot
`Gallery generated by Sphinx-Gallery
`_