.. 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_auto_data_analysis_sample_analysis_plot_visualize_histogram.py: Draw an histogram ================= In this example we are going to a plot an histogram from an unidimensional sample. .. code-block:: default from __future__ import print_function import openturns as ot import openturns.viewer as viewer from matplotlib import pylab as plt ot.Log.Show(ot.Log.NONE) Create data to visualize .. code-block:: default size = 500 normal = ot.Normal(1) sample = normal.getSample(size) Draw histogram .. code-block:: default graph = ot.HistogramFactory().build(sample).drawPDF() view = viewer.View(graph) plt.show() .. image:: /auto_data_analysis/sample_analysis/images/sphx_glr_plot_visualize_histogram_001.png :alt: X0 PDF :class: sphx-glr-single-img .. rst-class:: sphx-glr-timing **Total running time of the script:** ( 0 minutes 0.075 seconds) .. _sphx_glr_download_auto_data_analysis_sample_analysis_plot_visualize_histogram.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: plot_visualize_histogram.py ` .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: plot_visualize_histogram.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_