{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# 1D Histogram\n\nHistogram on a regular one-dimensional grid.\n\nThe x-axis defines the bin edges. As illustrated in this example,\nthe bin widths are not necessarily identical.\n\n.. code::\n\n  @NX_class = \"NXroot\"\n  @default = \"scan1\"\n  scan1:\n    @NX_class = \"NXentry\"\n    @default = \"data\"\n    data:\n      @NX_class = \"NXdata\"\n      @axes = [\"x\"]\n      @signal = \"y\"\n      x: NX_INT64[8]\n      y: NX_FLOAT64[7]\n\nExplanation:\n\n1. ``@axes`` has one value which corresponds to the signal rank of one.\n\n2. ``y`` is the default signal to be plotted versus ``x``.\n\n3. ``x`` has one more value than ``y`` since it contains the bin edges.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "# Data\nx = [0.5, 1.5, 2.5, 4, 5, 6.5, 7, 8]\ny = [4.8, 5.5, 3.5, 4.6, 6.5, 6.6, 2.6]\n\n# Plot\nimport numpy as np  # noqa E402\nimport matplotlib.pyplot as plt  # noqa E402\n\nplt.style.use(\"_mpl-gallery\")\n\nfig, ax = plt.subplots()\n\ncenters = 0.5 * (np.array(x[:-1]) + np.array(x[1:]))\nwidths = np.diff(x)\nax.bar(centers, y, width=widths, edgecolor=\"k\", linewidth=0.7)\n\nplt.show()"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.16"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}