.. DO NOT EDIT.
.. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY.
.. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE:
.. "auto_examples/06_manipulating_images/plot_nifti_simple.py"
.. LINE NUMBERS ARE GIVEN BELOW.

.. only:: html

    .. note::
        :class: sphx-glr-download-link-note

        :ref:`Go to the end <sphx_glr_download_auto_examples_06_manipulating_images_plot_nifti_simple.py>`
        to download the full example code. or to run this example in your browser via Binder

.. rst-class:: sphx-glr-example-title

.. _sphx_glr_auto_examples_06_manipulating_images_plot_nifti_simple.py:


Simple example of NiftiMasker use
=================================

Here is a simple example of automatic mask computation using the nifti masker.
The mask is computed and visualized.

.. include:: ../../../examples/masker_note.rst

.. GENERATED FROM PYTHON SOURCE LINES 13-14

Retrieve the brain development functional dataset

.. GENERATED FROM PYTHON SOURCE LINES 14-23

.. code-block:: Python


    from nilearn import datasets

    dataset = datasets.fetch_development_fmri(n_subjects=1)
    func_filename = dataset.func[0]

    # print basic information on the dataset
    print(f"First functional nifti image (4D) is at: {func_filename}")





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    [fetch_development_fmri] Dataset found in 
    /home/runner/nilearn_data/development_fmri
    [fetch_development_fmri] Dataset found in 
    /home/runner/nilearn_data/development_fmri/development_fmri
    [fetch_development_fmri] Dataset found in 
    /home/runner/nilearn_data/development_fmri/development_fmri
    First functional nifti image (4D) is at: /home/runner/nilearn_data/development_fmri/development_fmri/sub-pixar123_task-pixar_space-MNI152NLin2009cAsym_desc-preproc_bold.nii.gz




.. GENERATED FROM PYTHON SOURCE LINES 24-25

Compute the mask

.. GENERATED FROM PYTHON SOURCE LINES 25-40

.. code-block:: Python

    from nilearn.maskers import NiftiMasker

    # As this is raw movie watching based EPI, the background is noisy and we
    # cannot rely on the 'background' masking strategy. We need to use the 'epi'
    # one
    nifti_masker = NiftiMasker(
        standardize="zscore_sample",
        mask_strategy="epi",
        memory="nilearn_cache",
        memory_level=2,
        smoothing_fwhm=8,
    )
    nifti_masker.fit(func_filename)
    mask_img = nifti_masker.mask_img_








.. GENERATED FROM PYTHON SOURCE LINES 41-42

Visualize the mask using the plot_roi method

.. GENERATED FROM PYTHON SOURCE LINES 42-50

.. code-block:: Python

    from nilearn.image.image import mean_img
    from nilearn.plotting import plot_roi

    # calculate mean image for the background
    mean_func_img = mean_img(func_filename, copy_header=True)

    plot_roi(mask_img, mean_func_img, display_mode="y", cut_coords=4, title="Mask")




.. image-sg:: /auto_examples/06_manipulating_images/images/sphx_glr_plot_nifti_simple_001.png
   :alt: plot nifti simple
   :srcset: /auto_examples/06_manipulating_images/images/sphx_glr_plot_nifti_simple_001.png
   :class: sphx-glr-single-img


.. rst-class:: sphx-glr-script-out

 .. code-block:: none


    <nilearn.plotting.displays._slicers.YSlicer object at 0x7f4a83670ac0>



.. GENERATED FROM PYTHON SOURCE LINES 51-55

Visualize the mask using the 'generate_report' method
This report can be displayed in a Jupyter Notebook,
opened in-browser using the .open_in_browser() method,
or saved to a file using the .save_as_html(output_filepath) method.

.. GENERATED FROM PYTHON SOURCE LINES 55-58

.. code-block:: Python

    report = nifti_masker.generate_report()
    report






.. raw:: html

    <div class="output_subarea output_html rendered_html output_result">
    <!-- CSS for the report -->

    <link
      rel="stylesheet"
      href="https://unpkg.com/purecss@1.0.0/build/pure-min.css"
      integrity="sha384-nn4HPE8lTHyVtfCBi5yW9d20FjT8BJwUXyWZT9InLYax14RDjBj46LmSztkmNP9w"
      crossorigin="anonymous"
    />
    <link
      rel="stylesheet"
      href="https://unpkg.com/purecss@1.0.0/build/grids-responsive-min.css"
    />

    <style type="text/css">
      /* GLOBALS */
    :root {
      --main-bg-color: white;
    }

    /* ALIASES

    most of them are meant to resemble bootstrap classes
    https://getbootstrap.com/docs/5.3/getting-started/introduction/
    */
    .m-0 {
      margin: 0px;
    }
    .mt-1 {
      margin-top: 4px;
    }
    .mt-2 {
      margin-top: 8px;
    }
    .mt-3 {
      margin-top: 12px;
    }
    .mb-2 {
      margin-bottom: 8px;
    }
    .ml-2 {
      margin-left: 8px;
    }
    .my-0 {
      margin-top: 0px;
      margin-bottom: 0px;
    }
    .my-1 {
      margin-top: 4px;
      margin-bottom: 4px;
    }
    .my-2 {
      margin-top: 8px;
      margin-bottom: 8px;
    }

    .p-0 {
      padding: 0px;
    }
    .p-1 {
      padding: 4px;
    }
    .p-2 {
      padding: 8px;
    }
    .p-3 {
      padding: 12px;
    }
    .p-4 {
      padding: 24px;
    }
    .pl-2 {
      padding-left: 8px;
    }
    .pl-3 {
      padding-left: 12px;
    }
    .pl-5 {
      padding-left: 48px;
    }
    .pt-0 {
      padding-top: 0px;
    }
    .pt-2 {
      padding-top: 8px;
    }
    .pt-3 {
      padding-top: 12px;
    }
    .py-2 {
      padding-top: 8px;
      padding-bottom: 8px;
    }
    .py-3 {
      padding-top: 12px;
      padding-bottom: 12px;
    }

    .d-flex {
      display: flex;
    }

    .flex-column {
      flex-direction: column;
    }

    .flex-wrap {
      flex-wrap: wrap;
    }

    .align-items-stretch {
      align-items: stretch;
    }

    .justify-content-center {
      justify-content: center;
    }

    .justify-content-evenly {
      justify-content: space-evenly;
    }

    .justify-content-left {
      justify-content: left;
    }

    .justify-content-space-around {
      justify-content: space-around;
    }

    .fw-bold {
      font-weight: bold;
    }
    .fw-200 {
      font-weight: 200;
    }

    .fs-1 {
      font-size: 8px;
    }
    .fs-2 {
      font-size: 14px;
    }
    .fs-3 {
      font-size: 16px;
    }
    .fs-5 {
      font-size: 36px;
    }

    @media (max-width: 1023px) {
      .fs-5 {
        font-size: 30px;
      }
    }

    .border {
      border-style: solid;
    }

    .border-1 {
      border-width: 1pt;
    }

    .rounded-1 {
      border-radius: 4px;
    }
    .rounded-2 {
      border-radius: 8px;
    }
    .rounded-top-2 {
      border-top-left-radius: 8px;
      border-top-right-radius: 8px;
    }

    .text-center {
      text-align: center;
    }
    /* -----------------------  Pure framework ----------------------- */

    /* Add a gutter to Pure&#x27;s Columns */
    .pure-g > div {
      -webkit-box-sizing: border-box;
      -moz-box-sizing: border-box;
      box-sizing: border-box;
      padding: 0 0.5em;
    }

    /*!
    Pure-button class copied from pure-min.css,
    in case reports are displayed offline.

    Pure v1.0.0
    Copyright 2013 Yahoo!
    Licensed under the BSD License.
    https://github.com/yahoo/pure/blob/master/LICENSE.md
    */

    .pure-button {
      /* Structure */
      display: inline-block;
      zoom: 1;
      line-height: normal;
      white-space: nowrap;
      vertical-align: middle;
      text-align: center;
      cursor: pointer;
      -webkit-user-drag: none;
      -webkit-user-select: none;
      -moz-user-select: none;
      -ms-user-select: none;
      user-select: none;
      box-sizing: border-box;
    }

    .pure-button {
      /* Button styling */
      font-family: inherit;
      font-size: 100%;
      padding: 0.5em 1em;
      margin: 5px;
      color: #444; /* rgba not supported (IE 8) */
      color: rgba(0, 0, 0, 0.8); /* rgba supported */
      border: 1px solid #999; /*IE 6/7/8*/
      border: none rgba(0, 0, 0, 0); /*IE9 + everything else*/
      background-color: #e6e6e6;
      text-decoration: none;
      border-radius: 2px;
    }

    /*!
    End pure-button class definition from pure-min.css
    */

    .btn {
      background-color: #3498db;
      color: white;
      padding: 6px;
      font-size: 16px;
      border: none;
      cursor: pointer;
    }

    .btn:hover,
    .btn:focus {
      background-color: #2980b9;
    }

    .scroll-x {
      overflow-x: scroll;
    }
    .scroll-y {
      overflow-y: scroll;
    }

    /* -----------------------  Warning banner  ----------------------- */
    .warning {
      border-color: red;
      color: red;
      text-align: left;
    }
    .warning h2:first-child {
      background-color: #f5f5f5;
    }

    /* -----------------------  Navbar  ----------------------- */
    /* Adapted from Pure CSS navbar : https://purecss.io/layouts/tucked-menu-vertical/  */
    .navbar {
      position: sticky; /* Apply the sticky positioning */
      top: 0; /* Stick the element to the top of the viewport */
      z-index: 10; /* Ensure the navbar is above other content */
      background-color: #f5f5f5;
      margin-bottom: 1em;
      -webkit-font-smoothing: antialiased;
      height: 2.1em;
      overflow: hidden;
      -webkit-transition: height 0.5s;
      -moz-transition: height 0.5s;
      -ms-transition: height 0.5s;
      transition: height 0.5s;
    }
    .navbar.open {
      height: 16em;
    }

    .custom-toggle {
      width: 34px;
      height: 34px;
      position: absolute;
      top: 0;
      right: 0;
      display: none;
    }

    .custom-toggle .bar {
      background-color: black;
      display: block;
      width: 20px;
      height: 2px;
      border-radius: 100px;
      position: absolute;
      top: 18px;
      right: 7px;
      -webkit-transition: all 0.5s;
      -moz-transition: all 0.5s;
      -ms-transition: all 0.5s;
      transition: all 0.5s;
    }

    .custom-toggle .bar:first-child {
      -webkit-transform: translateY(-6px);
      -moz-transform: translateY(-6px);
      -ms-transform: translateY(-6px);
      transform: translateY(-6px);
    }

    .custom-toggle.x .bar {
      -webkit-transform: rotate(45deg);
      -moz-transform: rotate(45deg);
      -ms-transform: rotate(45deg);
      transform: rotate(45deg);
    }

    .custom-toggle.x .bar:first-child {
      -webkit-transform: rotate(-45deg);
      -moz-transform: rotate(-45deg);
      -ms-transform: rotate(-45deg);
      transform: rotate(-45deg);
    }

    .pure-menu-link {
      font-size: 90%;
      font-weight: normal;
      margin: 10px 5px;
      padding: 0px;
    }

    @media (max-width: 1023px) {
      .custom-toggle {
        display: block;
      }
    }

    /* -----------------------  Carousel navbar  ----------------------- */

    .carousel-navbar {
      position: sticky;
      top: 34px;
      background-color: #fff;
      height: 35px;
    }

    .carousel-navbar-element {
      height: 100%;
    }

    /* -----------------------  Nilearn report  ----------------------- */
    .nilearn-report {
      border-color: rgb(150, 150, 150);
      overflow: hidden; /* Needed to avoid scrolling in jupyter :( */
      color: black;
      background-color: var(--main-bg-color);
      height: 90vh;
      overflow-y: scroll;
    }

    .nilearn-report section {
      margin: 8px;
      padding: 8px;
    }
    .terminal .nilearn-report {
      max-width: min(50ex, 100vw); /* Needed in vscode */
    }

    .nilearn-report h1,
    h2,
    h3,
    h4,
    h5,
    h6 {
      text-align: left;
    }

    .nilearn-report h1:first-child {
      background-color: #f5f5f5;
      text-align: left;
    }

    .nilearn-report summary::-webkit-details-marker {
      margin-right: 2px;
    }

    .nilearn-report summary:focus {
      outline-style: none;
    }

    .nilearn-report .table-container {
      overflow-x: scroll;
      overflow-y: scroll;
      max-height: 800px;
    }

    .nilearn-report table {
      margin: 50px auto;
      max-height: 800px;
    }

    .nilearn-report thead th {
      text-align: center;
      vertical-align: middle;
      position: sticky;
      top: 0;
      background-color: #ddd;
    }

    .nilearn-report tbody tr:nth-child(even) {
      background-color: #ddd;
    }

    /* Tooltip container */
    .nilearn-report .withtooltip {
      position: relative;
    }

    /* Tooltip text */
    .nilearn-report .withtooltip .tooltiptext {
      visibility: hidden;
      max-width: 35em;
      background-color: rgba(24, 24, 24, 0.9);
      color: #fff;
      text-align: center;

      /* Position the tooltip text - see examples below! */
      position: absolute;
      z-index: 200;

      width: 99%;
      left: 8px;
      top: 133%;
    }

    /* Show the tooltip text when you mouse over the tooltip container */
    .nilearn-report .withtooltip:hover .tooltiptext {
      visibility: visible;
    }

    .nilearn-report .image {
      position: relative;
      height: auto;
      width: 100%;
    }

    .nilearn-report .image .overlay {
      position: absolute;
      top: 0;
      left: 0;
      opacity: 0;
      transition: 0.5s ease;
      height: auto;
      width: 100%;
      -webkit-transition: 0.5s ease;
    }

    .nilearn-report .image:hover .overlay {
      opacity: 1;
    }

    .nilearn-report .main-container {
      min-height: 700px !important;
    }

    </style>

    <section class="nilearn-report pt-0 border border-1 rounded-2 scroll-y">
      <h1 class="withtooltip m-0 pl-3 pt-3 rounded-top-2 fs-5">
        NiftiMasker
        <span class="tooltiptext m-1 p-1 fw-200 fs-3 border border-1 rounded-2"
          >Applying a mask to extract time-series from Niimg-like objects.

        NiftiMasker is useful when preprocessing (detrending, standardization,
        resampling, etc.) of in-mask :term:`voxels&lt;voxel&gt;` is necessary.

        Use case:
        working with time series of :term:`resting-state` or task maps.

        </span
        >
      </h1>
   

      <div class="pure-g d-flex justify-content-center my-1">
        <div
          class="pure-u-7-8 pure-u-md-7-8 d-flex flex-column justify-content-space-around main-container"
        >
          <!--  -->
      
          <!--  -->
          <div class="pure-g">
      <div class="pure-u-1 pure-u-md-2-3">
        <div class="image">
          <img
            class="pure-img"
            width="100%"
            src="data:image/svg+xml;base64,<?xml version="1.0" encoding="utf-8" standalone="no"?>
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN"
  "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
<!-- Created with matplotlib (https://matplotlib.org/) -->
<svg height="252pt" version="1.1" viewBox="0 0 525.6 252" width="525.6pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink">
 <metadata>
  <rdf:RDF xmlns:cc="http://creativecommons.org/ns#" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#">
   <cc:Work>
    <dc:type rdf:resource="http://purl.org/dc/dcmitype/StillImage"/>
    <dc:date>2025-06-21T09:36:52.902139</dc:date>
    <dc:format>image/svg+xml</dc:format>
    <dc:creator>
     <cc:Agent>
      <dc:title>Matplotlib v3.3.0, https://matplotlib.org/</dc:title>
     </cc:Agent>
    </dc:creator>
   </cc:Work>
  </rdf:RDF>
 </metadata>
 <defs>
  <style type="text/css">*{stroke-linecap:butt;stroke-linejoin:round;}</style>
 </defs>
 <g id="figure_1">
  <g id="patch_1">
   <path d="M 0 252 
L 525.6 252 
L 525.6 0 
L 0 0 
z
" style="fill:#ffffff;"/>
  </g>
  <g id="axes_1">
   <g clip-path="url(#p6f14668658)">
    <image height="147.6" id="imagedb3b591720" transform="scale(1 -1)translate(0 -147.6)" width="147.6" x="0" xlink:href="data:image/png;base64,
iVBORw0KGgoAAAANSUhEUgAAAM0AAADNCAYAAAAbvPRpAAANFUlEQVR4nO2dS49VVROGF15ARaTRRlQawkUwaVGijpk40ImJc/4A/8n/YDQONCbGRMOAEKMSiCQogbSKiIiCFxC5fFPq2es7dUpPn9PdPs+sON17r71Pv+z17qpVa93c3NzdJiJjc9+sByCy2lA0IkUUjUgRRSNSRNGIFFE0IkUUjUgRRSNSRNGIFFE0IkUUjUgRRSNSRNGIFFE0IkUUjUgRRSNSRNGIFFE0IkUUjUgRRSNSRNGIFFE0IkUUjUgRRSNSRNGIFFE0IkUUjUgRRSNSRNGIFFE0IkUUjUgRRSNSRNGIFFE0IkUUjUgRRSNS5IFZD2Ac7t6Ne+muW7eu9LnIJPFJI1JE0YgUUTQiRVakp1m/fv3I+O+//w7xAw/Ey7h+/XqI6Xl63LlzZ+Tna8En/dtrmIR3HOe7WOn4pBEpomhEiigakSIrwtPMz8+HeMeOHSG+evVqiOk/GN++fTvEP/zwQ4gffPDBwRg2bNgQYs69b9y4EWL6qv8iPU/D72IteEHik0akiKIRKaJoRIrMxNNktWNbt24N8VNPPRVi5mW+++67EJ87dy7E9DCLi4uDMV24cCHEDz/8cIjpYXjMX3/9dXDMUdB3kX+Sz+B9oU+jd2Q+i9fM72lpaSnEjzzyyGAMjz766Mgx0J/eunUrxLyPvE8rwUv6pBEpomhEiigakSIz8TScx9IfbNy4McQPPfTQyM+vXbsWYnqg+++/Px3Ttm3bQsy59F9//TXy5+nDstwR7wF//r77hv+f8T7Rw/A6WbN35cqVEPO+0vP8/vvvIZ6bm0vHyGM+88wzIX7iiSdGjvmnn34K8eXLl0NM79kbw3Ljk0akiKIRKaJoRIqsm5ubm+gCh16tEefzzz77bIiff/75EPP9/82bN0PMuTrntT///HOI6QWYj2htOH/nXJr5hj///DPEzB8wX8Hj83hbtmwJMfMZrQ19UDaf533i79N/cEy8Btbf9XJNPCavi3WA9Dw852effRbi48ePh3gW63N80ogUUTQiRRSNSBFFI1JkKslNvhygOdy+fXuIWUjIFwM0pGTTpk0hpmGl2eydk4k8JhJ5DhaN8hxMjtKk82UHDXVrrf3yyy8hfvzxx0P8xx9/hJgvChYWFkLMlxlZkpmf88VC75x8QcIE6q5du0LMFyYvvPBCiM+ePRtivvSZxiI4nzQiRRSNSBFFI1Jk4p6ml/BiAuvll18OMZONLH7k3JvnYJEf/Qc9UC9xSOij6Hl4DhYi0l889thjIebcm4WLPd9GP0CfxGPyc3oQeiJeI+87x0hf1zsm7wuLa+lveQ4ufON9mUXze580IkUUjUgRRSNSZOKeprfgi4ufDhw4MPJz5gfoH+hJmPPI8gm9Zud838+cCP0EPQ9/f/PmzSFm/oHH37lzZ4h5T1obegjmdugN6aN+++23EF+8eDHEzE3xePweev6B3z/jbCEb8zZfffVViFdCA3WfNCJFFI1IEUUjUmTinqY3z+X8nPPUF198McTMD9CzcLEU5838PFtA1lpru3fvDjHr4bJGG8wt8efps5jPIL1GfOTpp58OMe89x0ivSM+T1ez1Fu8R3tusgWHGqVOnRh5/FvikESmiaESKKBqRIhP3NL336JzHnjlzJsSsRcs2pmVdV9asPFu70tpwrswap6yJBde/0GfR09Cz8PNeDR/HxGbh9DS87zwmr4n5q+z3mYtqbeijOEauM+LfC30WfZh5GpFViKIRKaJoRIpMpUcA56F8d8+Yc23O1ekX6GFYm9abe5PsHJPehIm+in6it3kRa+h437Ix8hxZ00V6Gt5H+pfWht6MXjHrhcDfZ+4o2xBsGvikESmiaESKKBqRIjPpe8Z5bTYX5zoQrmUn3NSJP99b85PVRGXH4DVma9XpWegneveEx+T8P4Pz/+yczCUx50JP1drQN7HGjnkYrlPi30Z233u915YbnzQiRRSNSBFFI1JkKrVnnPueP38+xFwzsbi4GGLOY9kri+t1mH9g/OOPPw7GmOWG+DmvKeu/lW1Mxf5e9GU9svwX/UV1zKx145jH8V08R1bTR4/CPE+vv8O08UkjUkTRiBRRNCJFptIjgPNQ1hsxH8AcBtfLsObpySefDDHzOr28DOFcmnNxXkPmJ7IeAcw/cMy9HAxrvzLfleV1eF96eZd7GafXAr9L9nLmfeF94HfNv5XqZr3LgU8akSKKRqSIohEpMpP1NKw3Yo8xehb2Sabnyebq/4RqnVe2np5zdc7lmXvK9hVtbTi/z+4Lrymr+cv6MnP9fg96NfpPekX2j6MnWgn4pBEpomhEiigakSKKRqTIVJKbNKjcuJYLk7jYiYWC3CApa7qdGeLW8o1jGfOcWVKPRaUs4OTxeovi2GiPRp6mm9dZ3RyXiUUer9f8g8lGbuLETYW5SI3f1cLCQohtFiiyClE0IkUUjUiRiXua3iIhzmuZvGSSjovE2PCc56DHyZot9JJ69E1ZE4qssQavgT6N/oFzeV5Ta8PNbekHmDSmf8ganvOa6MM4xl7Cl+fIPAr/NrLNrLKFdNPAJ41IEUUjUkTRiBSZSp6GxYmXLl0aeQxuwHrhwoUQM8eRzbWZT+gVdGaLmbKFdBwTcyY8PgsTezkPwp/JijqzPE110Vq2sK61oSfJimdZjMsc3smTJ0eOwUVoIqsARSNSRNGIFJnJIjTmIDhPZU6DeRcu6OLcmnN3+g0ev7X63DjzTVXGaWbe22B31Biy+1L1PFx01mvEkW08xe+edYdZzs7aM5FViKIRKaJoRIpMpQE6586XL18O8bfffhti1iMxT8O5NpvocW0KY9aZtTb0VRxz1vybfiBrOsFr4PF7HinbTDdr9pf5Nh6fuSSu5+ltVEvPwutgAxHWz128eDHE/FuZRV6GzH4EIqsMRSNSRNGIFJlKnobz0O+//z7En376aYjffPPNELOeKcuRZOvte56m18z7XqqbCdFnsf6OfoBxb+5OT0EPwnNkeZns+Lzv2e+3NrzXjOlRduzYEeK33norxFxDNM4YlhufNCJFFI1IEUUjUmQmtWfMJ3z++echfuWVV0JMf5D15+Lxs7UurdWbg2fr7Tl3p4/q9TW7l946FJ6DdVrZfD+rNaM3ZM6FYx5nU2L2d+B9OHv2bIiPHz8eYt5na89EViGKRqSIohEpMhVPQzgv5bz37bffDjHzNqxXIllOpVfXlc2Vs7XuWb8vxvQj9GW9MdKbcUz8nawWjR7n2rVrIaaH4TqmcerjmH9i7dkHH3wQYt6XSWzQNWl80ogUUTQiRRSNSJGZeBpCD8L1NV9//XWIFxcXQ8y5e9YPeBw4fyfZen2OKcvL0FP1js8cB2vN6Afoo3gOHo9+hPksHq/nLZmfYg+Ab775JsTMy9DDrIS8DPFJI1JE0YgUUTQiRVaEpyGs+/rwww9DzHXkb7zxRog5N+/1OSP0HJyLsw4ry5FknofXyLk78zatDXMeWV+DrI8Zz0Efx+Mzn9YbI/s70I++9957IV6JniXDJ41IEUUjUkTRiBRRNCJFVuSLgMzQfvnllyFmU4zDhw+HmAa6Zz5p/HlOHoOJPiYK+ftMRNKU83MWNrY2fLnAMXGxHl9u8IUI7zOTwtkmTr37ePTo0RAfO3YsxP+2UfxKwCeNSBFFI1JE0YgUWTc3N7f6skuAc++DBw+G+NVXXw3x/Pz84Bj0RdxMiNA/0KOwyV2W7GSxJZOErQ09DBOubFjOBCw3haUPo4+i5+GY3n333cEYv/jii8G/rTV80ogUUTQiRRSNSJE14WmyZg67du0K8euvvz44BosPmWdhTmLTpk0hZk6E+YhLly6NPB79R2/RGq+TTRO58I2ehQWXPB49zUcffRTiq1evhnhpaWkwRrIaCzIzfNKIFFE0IkUUjUiRNeFpSNbMvLd4av/+/SE+dOhQiFmXxaYSzMMwh3LlypURIx76EdbCtTZs5sdNmJgrYnzu3LkQ876wyQU3CF4NjfymgU8akSKKRqSIohEpsiY9zSRgndVLL70U4r1794b4tddeC/HGjRtD/PHHH4eYzUFOnDgR4iNHjgzGRI/BXNHCwkKI33nnnRC///77IWYOhXmf3ma54pNGpIyiESmiaESK6Gn+D9kafjbW621+ey9cX88cB3NH+/btGxzjueeeC/GePXtC/Mknn4T49OnTIc5qz9Zindhy4JNGpIiiESmiaESK6GnGhB6H83/WjmW926pxa8P6Nq7ZYX3cf7U2bLnxSSNSRNGIFFE0IkX0NBMiy3HQ42SM8/NZnsW8y/Lgk0akiKIRKaJoRIqsyP1pViNVz5Ixjh/Rs8wGnzQiRRSNSBFFI1JE0YgUUTQiRRSNSBFFI1JE0YgUUTQiRRSNSBFFI1JE0YgUUTQiRRSNSBFFI1JE0YgUUTQiRRSNSBFFI1JE0YgUUTQiRRSNSBFFI1JE0YgUUTQiRRSNSBFFI1JE0YgU+R/hlmppZdv83AAAAABJRU5ErkJggg==" y="-52.141231"/>
   </g>
   <g id="LineCollection_1">
    <path clip-path="url(#p6f14668658)" d="M 75.216055 78.805612 
L 84.065003 78.805612 
L 89.964302 84.704911 
L 92.913951 84.704911 
L 95.8636 87.65456 
L 98.813249 87.65456 
L 101.762898 90.604209 
L 104.712548 90.604209 
L 117.985969 103.877631 
L 117.985969 106.82728 
L 120.935618 109.776929 
L 120.935618 112.726578 
L 123.885268 115.676228 
L 123.885268 154.021668 
L 116.511145 161.395791 
L 107.662197 161.395791 
L 104.712548 158.446142 
L 101.762898 158.446142 
L 98.813249 161.395791 
L 89.964302 161.395791 
L 84.065003 155.496492 
L 81.115354 158.446142 
L 66.367108 158.446142 
L 63.417458 161.395791 
L 57.51816 161.395791 
L 54.568511 158.446142 
L 51.618862 158.446142 
L 48.669212 161.395791 
L 45.719563 161.395791 
L 42.769914 158.446142 
L 39.820265 161.395791 
L 36.870615 161.395791 
L 33.920966 164.34544 
L 30.971317 164.34544 
L 20.647545 154.021668 
L 20.647545 136.323772 
L 23.597194 133.374123 
L 23.597194 130.424474 
L 20.647545 127.474825 
L 20.647545 115.676228 
L 23.597194 112.726578 
L 23.597194 109.776929 
L 29.496492 103.877631 
L 29.496492 100.927982 
L 39.820265 90.604209 
L 42.769914 90.604209 
L 48.669212 84.704911 
L 51.618862 84.704911 
L 54.568511 81.755262 
L 72.266406 81.755262 
L 75.216055 78.805612 
L 75.216055 78.805612 
" style="fill:none;stroke:#008000;stroke-width:2.5;"/>
   </g>
   <g id="line2d_1">
    <path clip-path="url(#p6f14668658)" d="M 71.604524 192.367108 
L 71.604524 59.632892 
" style="fill:none;stroke:#000000;stroke-linecap:square;stroke-width:1.5;"/>
   </g>
   <g id="line2d_2">
    <path clip-path="url(#p6f14668658)" d="M 0 123.071821 
L 147.482462 123.071821 
" style="fill:none;stroke:#000000;stroke-linecap:square;stroke-width:1.5;"/>
   </g>
   <g id="text_1">
    <g id="patch_2">
     <path d="M 14.748246 71.246642 
L 21.434496 71.246642 
L 21.434496 59.632892 
L 14.748246 59.632892 
z
" style="fill:#ffffff;stroke:#ffffff;stroke-linejoin:miter;"/>
    </g>
    <!-- L -->
    <g transform="translate(14.748246 68.751017)scale(0.12 -0.12)">
     <defs>
      <path d="M 9.8125 72.90625 
L 19.671875 72.90625 
L 19.671875 8.296875 
L 55.171875 8.296875 
L 55.171875 0 
L 9.8125 0 
z
" id="DejaVuSans-76"/>
     </defs>
     <use xlink:href="#DejaVuSans-76"/>
    </g>
   </g>
   <g id="text_2">
    <g id="patch_3">
     <path d="M 124.39609 71.246642 
L 132.734215 71.246642 
L 132.734215 59.632892 
L 124.39609 59.632892 
z
" style="fill:#ffffff;stroke:#ffffff;stroke-linejoin:miter;"/>
    </g>
    <!-- R -->
    <g transform="translate(124.39609 68.751017)scale(0.12 -0.12)">
     <defs>
      <path d="M 44.390625 34.1875 
Q 47.5625 33.109375 50.5625 29.59375 
Q 53.5625 26.078125 56.59375 19.921875 
L 66.609375 0 
L 56 0 
L 46.6875 18.703125 
Q 43.0625 26.03125 39.671875 28.421875 
Q 36.28125 30.8125 30.421875 30.8125 
L 19.671875 30.8125 
L 19.671875 0 
L 9.8125 0 
L 9.8125 72.90625 
L 32.078125 72.90625 
Q 44.578125 72.90625 50.734375 67.671875 
Q 56.890625 62.453125 56.890625 51.90625 
Q 56.890625 45.015625 53.6875 40.46875 
Q 50.484375 35.9375 44.390625 34.1875 
z
M 19.671875 64.796875 
L 19.671875 38.921875 
L 32.078125 38.921875 
Q 39.203125 38.921875 42.84375 42.21875 
Q 46.484375 45.515625 46.484375 51.90625 
Q 46.484375 58.296875 42.84375 61.546875 
Q 39.203125 64.796875 32.078125 64.796875 
z
" id="DejaVuSans-82"/>
     </defs>
     <use xlink:href="#DejaVuSans-82"/>
    </g>
   </g>
   <g id="text_3">
    <g id="patch_4">
     <path d="M 0 199.741231 
L 36.7575 199.741231 
L 36.7575 188.127481 
L 0 188.127481 
z
" style="fill:#ffffff;stroke:#ffffff;stroke-linejoin:miter;"/>
    </g>
    <!-- y=-17 -->
    <g transform="translate(0 197.245606)scale(0.12 -0.12)">
     <defs>
      <path d="M 32.171875 -5.078125 
Q 28.375 -14.84375 24.75 -17.8125 
Q 21.140625 -20.796875 15.09375 -20.796875 
L 7.90625 -20.796875 
L 7.90625 -13.28125 
L 13.1875 -13.28125 
Q 16.890625 -13.28125 18.9375 -11.515625 
Q 21 -9.765625 23.484375 -3.21875 
L 25.09375 0.875 
L 2.984375 54.6875 
L 12.5 54.6875 
L 29.59375 11.921875 
L 46.6875 54.6875 
L 56.203125 54.6875 
z
" id="DejaVuSans-121"/>
      <path d="M 10.59375 45.40625 
L 73.1875 45.40625 
L 73.1875 37.203125 
L 10.59375 37.203125 
z
M 10.59375 25.484375 
L 73.1875 25.484375 
L 73.1875 17.1875 
L 10.59375 17.1875 
z
" id="DejaVuSans-61"/>
      <path d="M 4.890625 31.390625 
L 31.203125 31.390625 
L 31.203125 23.390625 
L 4.890625 23.390625 
z
" id="DejaVuSans-45"/>
      <path d="M 12.40625 8.296875 
L 28.515625 8.296875 
L 28.515625 63.921875 
L 10.984375 60.40625 
L 10.984375 69.390625 
L 28.421875 72.90625 
L 38.28125 72.90625 
L 38.28125 8.296875 
L 54.390625 8.296875 
L 54.390625 0 
L 12.40625 0 
z
" id="DejaVuSans-49"/>
      <path d="M 8.203125 72.90625 
L 55.078125 72.90625 
L 55.078125 68.703125 
L 28.609375 0 
L 18.3125 0 
L 43.21875 64.59375 
L 8.203125 64.59375 
z
" id="DejaVuSans-55"/>
     </defs>
     <use xlink:href="#DejaVuSans-121"/>
     <use x="59.179688" xlink:href="#DejaVuSans-61"/>
     <use x="142.96875" xlink:href="#DejaVuSans-45"/>
     <use x="179.052734" xlink:href="#DejaVuSans-49"/>
     <use x="242.675781" xlink:href="#DejaVuSans-55"/>
    </g>
   </g>
  </g>
  <g id="axes_2">
   <g clip-path="url(#pcf38c6b3cb)">
    <image height="147.6" id="imagee49ab91386" transform="scale(1 -1)translate(0 -147.6)" width="174.96" x="147.482462" xlink:href="data:image/png;base64,
iVBORw0KGgoAAAANSUhEUgAAAPMAAADNCAYAAABthkbiAAAOw0lEQVR4nO2dS68VRReGC1AQFTjKVQUUUIFABEJwhAnRIRMTRo5MGDDzPxknJDACEwlggiRAMDFAJECUgATlqoBclIsXvomDs56ur+sAB85m8Tyzxd67u7r7vLZvrVWrxg0NDd0vIvLUM36sByAio4NiFkmCYhZJgmIWSYJiFkmCYhZJgmIWSYJiFkmCYhZJgmIWSYJiFkmCYhZJgmIWSYJiFkmCYhZJgmIWSYJiFkmCYhZJgmIWSYJiFkmCYhZJgmIWSYJiFkmCYhZJgmIWSYJiFkmCYhZJgmIWSYJiFkmCYhZJgmIWSYJiFkmCYhZJgmIWSYJiFkmCYhZJgmIWSYJiFkmCYhZJgmIWSYJiFkmCYhZJgmIWSYJiFkmCYhZJgmIWSYJiFkmCYhZJwnNjPYAsjB/f/u/i/fv3Q/z333+H+N9//+39/oQJE0I8ZcqUEI8bN645pqtXr4b4+eef7xnxo8MxldK9rtZ1v/DCCyGeOHFiiO/evdt7vH/++af3+P9vnA/y+SDgm1kkCYpZJAmKWSQJeuYRQs9E3/XHH380j0EPu3jx4hC//PLLIX7uufh4OAZ65ps3b4aYXrKUUu7cuRNi+vaan3wU7t271/k3jntoaCjEkyZNCvGrr74a4rlz54b41q1bIeY1cp7g0qVLnTH99ddfIea9/vPPP0NMXz4I+GYWSYJiFkmCYhZJgp75P1p5ROYqp06dGuKPP/64eTz6U3piekV6YPpPekN6T+alS+n6y5MnT/aO4VF57bXXOv+2du3aEM+YMSPEvG7ONdBz8zp//fXX3u8zLqWUn376KcStmgDOR4z2XMPD4JtZJAmKWSQJilkkCYpZJAkDOQE2GkXtnJBoxS+++GKIWRSwbt26EM+ZMyfEnIxiXDvm7du3Q8xJttoE1nBqBRl9xyullNWrV4eYBRlHjhwJMSefeN94Di6KqMHJJE54TZs2rfeY165d6z3+ggULes/3yy+/dH7zyiuvhJj3nmPYvXt3iFlUMhYTYr6ZRZKgmEWSoJhFkjBuaGjoif/P/YMu0ufnI/GWkydPDjG94aJFi0K8ZMmS3jGwmOL69eshHklzAo6bMecK2DiAvoyem2Ou3Rd6vxs3bvSegwsQuGiB32cBSM3Xz5o1K8QsnmFBzptvvhli/j2wCOSll17qHUNtPoP3nkUhPMb+/ftD/OOPP4aY9/5JeGjfzCJJUMwiSVDMIkkYkzwz/ez8+fND/Prrr4eYeUN6nosXL3bOsXfv3t5jLl++PMRsDEAvyHO2FiTQ19V+Q19Gr0c/21pIwe/XfBqva9myZSFm/pwL+fft2xdi+lku3KjBuQLODfCYhDlhPjsej568lgvn8+W949/Y8ePHe485Fs0LfDOLJEExiyRBMYsk4Yl4ZubwmLOjR/rggw96j0fPxdxmKV3vt23bthAzX8pzTp8+PcT0YfSnbMzO/Gwp3dw0r4Oemr6Nx6QXZL611mSQ+XbeB/r22bNnh/i9997rHHM4vO/MhZfS9bz0m/TAnGPh3xPvG58d7wPr8GvfOXXqVIg5B8PnPQgN/nwziyRBMYskQTGLJOGJeOZWDfLvv/8e4tbaY+ZK6R1L6eZk169fH+LDhw+HeM+ePSHmut+33347xDNnzgwxPTR9YSldX0YPzGZ7rFH+7bffQsxcNnPpHGMp3dw2vR/zqRwTPTHnK+gda2uPmbtmjpf3hfeNPpx1Cq2adl5zKd3ny3HXfjNo+GYWSYJiFkmCYhZJwmPxzK1N1pgXpKdhnpG50FYvrVK6uUmuoWVemXlE1iDT53300UchppfkNZXS9fGsYz5//nyImfOlP2U+lfeltnEc110zpk/ns+K9pqduzXeU0q5Bp0dubZBHz83P6aFrfy9vvfVWiPn8+HyvXLnSOcZw7AEmIg+NYhZJgmIWScKYrGdubcJGz0PPRE9d6zN14cKFENOv0kd9+OGHIT569GiI2U+avP/++yGmxyqllO+++y7ELW/HXCd9OzdrZ7611uuKHpnnvHz5cojp05kDpndk3XNt7TBz8CdOnAgx/SbnP9asWdN7Tl43N5Kr3Rc+C86xMA/NZ8kx6JlF5KFRzCJJUMwiSXgsnpl+odVDmH7l9OnTIaZHaq3BLaXr1Wr7Cw2HXpD+k5uGMw9NH8Y+3KV0PS991rx580LMuQGuh/7+++9DTL/LuYhSunXs9LwcI/uvrVy5MsR8lsw719ZU1zxr3xhb8x2sm+Y18PNanTWff6uXOz01c+VjgW9mkSQoZpEkKGaRJIxJDzDWDHM9Mz02/QzzzrX9nOkvudaXuWnWRdML0oOzNpt56IMHD3bGRO/H3me8L/Rh7777boi5j/HZs2dDzLmIGvSP7PE1d+7cEPPet/ZOrnlm1j3TZ/OcrX2quc6beWmOsbbWnGu/2Stt+/btIebf12jsKf6o+GYWSYJiFkmCYhZJwhPxzPSf9Bf0TMzxtTx0LW/Idbj8DY/5xhtv9I6ZY2Kum9fE45XS7cXM3DXHzDGy3px5ZHrq2n5XrT5j9MS8t/Th9MjMAdf8LvPMnM+g5yWs7ef3WX/Oa+AYS+nW0rf6kA2CRya+mUWSoJhFkqCYRZKgmEWSMCbNCTgBwYkaLrTgBMnSpUtDzImhUrqTSZx04aRJrcnbcDiJwkkYFh1woqmU7mQTC1V4XRwTiy0Yc8EJx1hKd3EHFxCwgIe0mjVyoqg2OclFLCym4eQTP+fikFojiOG0Ni4spXsfeJ9ak3KDgG9mkSQoZpEkKGaRJIyJZyZsuHbu3LkQHzhwIMSLFi0Kcc3P0IezeJ+elsX49FX0r/SnPD6voZRuAQWPwTHTt3FMLI6oeUFSa4zfN8ZW03z6UT4LzneU0l0gQu9Pj8x7Tx/Oa+J8CQthakUj/LcvvvgixPv37w9xrVHhWOObWSQJilkkCYpZJAkD4Znps5g35mLyLVu2hPjTTz/tHLPmi4bDHCx9Gf0qvSS/z2bxNbg4gwst2MiOOdtWwwTGNX/c8uX8vLWIgXAzu5q35MJ+en163NbCGo6J94n3obYJPWG+vfX3NAj4ZhZJgmIWSYJiFknCQHhmwrwjF/XTr545c6ZzDOaia7XSw6EPo0du5XgJG8LV/o1ekPXB9Js8Jz02m+bzeLVjMtfN5gOtWmteE3O8tQYJbFLfyrcz5vNn3T03Tue8QK1enM0TeY5BbEZAfDOLJEExiyRBMYskYSA9M3N6bHK+evXqEO/atatzjE2bNoWYnof1v8w700MxV0kf18oBl9LOG3OM9O30yPTE9OC1MbRysFxzzXPw2TAPzePX1lTT2zM3zevgfaHH5n3iNbEWfOHChZ0x/fDDDyE+evRo5zuDjm9mkSQoZpEkKGaRJAykZ6ZPY+7y8OHDIV67dm3nGN9++22IP/nkkxAfO3YsxMxV0qcxV0lfxjHXcrz0dvTdzGXzultri1nzzN+X0s2x8jp5H+jT6ZHpb+mZa/eBY+B1tzYs4HwHY36fcS1nvHXr1hAfOnQoxK26gkFg8EcoIiNCMYskQTGLJGEgPXMLrjWt9c3+5ptvQrxmzZreYzJ3Sf/Z6o1Fr1nbMI0+m96Q3rG1yTihn639vpWT5b2dNWtWiFub/DGnW6vNZu09fTk9MMfUyq/zc25qv2PHjs6YPv/88xA/DbXYxDezSBIUs0gSFLNIEsYNDQ3db39tsKn1ulq1alWI6YE+++yzENMz//zzzyFm/pSf06exj1Up3XpvjqnV64rn4HVzjKyBrn2HcwP0uOxtxrkC1ptzfXMtz8zrpM9m/TfHyHvL37/zzjshPnLkSIg3b97cGdPx48dDzLkF3rdBxDezSBIUs0gSFLNIElJ45lrdLHtZrVixIsT0ghs3buw9B9e30q/Sc9egB7527VrzN33nZG6bx6+NieuLeUx6xdY+1zwec8TMIZfSrufms2H+nb6ceWTW5X/55ZchPnnyZGdMT4MnbuGbWSQJilkkCYpZJAkpPHPN7zBXyXzo0qVLQzx79uwQb9iwIcTsQ8b+Wswh1+qi6TdbeeJW/Xdrz6Va/y32g27lx1u9z3ifW/25SuleJ69jzpw5vWNmT/Svv/46xDt37gzx5cuXQ1yrF8+Ab2aRJChmkSQoZpEkKGaRJKSYABsJXNTAySFuwD1v3rwQs6iEk1FXrlwJMRcHlNKd+GFBRmsTck668fcslKlNgLXgxva8TsYs4OCEWK2ghxNavPdcIMLvnzt3LsRfffVViM+fPx/i2mKPjPhmFkmCYhZJgmIWScJT2dDvYWgVZNCv0hvu2bMnxNx87OrVqyHmht+ldBvZMWZDvlZTuVbxBY9fO0ereT89MO8LoU+vFY1wDGzYd+bMmRBzkcupU6dCzIKdZxXfzCJJUMwiSVDMIkl4ZvLMLegVuUCeG8dxYQY3olu/fn3nHNxU/EE9L8fInDD9KhvWl9JdCNHKVbcaIvCczBFzgUvtGFzEwuYBvA885tPYsP5x4JtZJAmKWSQJilkkCXrm/6Dvam2IxjppNq4bSX6V56DfXLJkSe/veU7Wh9PX145BT8xjMOfLvDN9POvJ2RiglHaDBI7hQTfQe1bxzSySBMUskgTFLJKEZ6Y2uwVzvvRpzL8yh0vPzYaBpXRz1fSOZ8+eDTHXCnOdLj0z87e1jeOWL18eYnpojon5dtawnzhxIsS8Lw+zplqP/HD4ZhZJgmIWSYJiFkmCeeZRotVjrJSuL+dvWrluNqjnJm2sca7VLPPfOBdQ2+it7/e1Hl8yNvgkRJKgmEWSoJhFkqBnfkyMxhrblg9v9TUbyTGZ0231mOY5M2xSngXfzCJJUMwiSVDMIkmwNvsxMRpespWXpkceyTn5nawbjz+L+GYWSYJiFkmCYhZJgp75KcYcrwzHN7NIEhSzSBIUs0gSFLNIEhSzSBIUs0gSFLNIEhSzSBIUs0gSFLNIEhSzSBIUs0gSFLNIEhSzSBIUs0gSFLNIEhSzSBIUs0gSFLNIEhSzSBIUs0gSFLNIEhSzSBIUs0gSFLNIEhSzSBIUs0gSFLNIEv4HeJptIOzsh+YAAAAASUVORK5CYII=" y="-52.141231"/>
   </g>
   <g id="LineCollection_2">
    <path clip-path="url(#pcf38c6b3cb)" d="M 222.932673 81.755262 
L 228.850336 81.755262 
L 231.809168 84.704911 
L 234.768 81.755262 
L 249.562159 81.755262 
L 252.520991 84.704911 
L 255.479823 84.704911 
L 258.438654 87.65456 
L 264.356318 87.65456 
L 267.31515 90.604209 
L 270.273982 90.604209 
L 292.46522 112.726578 
L 292.46522 121.575526 
L 295.424052 124.525175 
L 295.424052 139.273422 
L 292.46522 142.223071 
L 292.46522 145.17272 
L 295.424052 148.122369 
L 295.424052 151.072018 
L 290.985804 155.496492 
L 288.026973 155.496492 
L 285.068141 158.446142 
L 282.109309 158.446142 
L 279.150477 161.395791 
L 273.232814 161.395791 
L 270.273982 158.446142 
L 267.31515 158.446142 
L 255.479823 146.647545 
L 252.520991 149.597194 
L 249.562159 149.597194 
L 246.603327 152.546843 
L 243.644495 152.546843 
L 240.685664 155.496492 
L 237.726832 155.496492 
L 231.809168 161.395791 
L 219.973841 161.395791 
L 217.015009 158.446142 
L 208.138514 158.446142 
L 205.179682 155.496492 
L 202.22085 155.496492 
L 190.385523 143.697895 
L 184.467859 149.597194 
L 178.550196 149.597194 
L 171.153116 142.223071 
L 171.153116 130.424474 
L 174.111948 127.474825 
L 174.111948 124.525175 
L 177.07078 121.575526 
L 177.07078 118.625877 
L 180.029611 115.676228 
L 180.029611 112.726578 
L 205.179682 87.65456 
L 208.138514 90.604209 
L 214.056177 84.704911 
L 219.973841 84.704911 
L 222.932673 81.755262 
L 222.932673 81.755262 
" style="fill:none;stroke:#008000;stroke-width:2.5;"/>
   </g>
   <g id="line2d_3">
    <path clip-path="url(#pcf38c6b3cb)" d="M 234.006032 192.367108 
L 234.006032 59.632892 
" style="fill:none;stroke:#000000;stroke-linecap:square;stroke-width:1.5;"/>
   </g>
   <g id="line2d_4">
    <path clip-path="url(#pcf38c6b3cb)" d="M 147.482462 123.071821 
L 313.324985 123.071821 
" style="fill:none;stroke:#000000;stroke-linecap:square;stroke-width:1.5;"/>
   </g>
   <g id="text_4">
    <g id="patch_5">
     <path d="M 147.482462 199.741231 
L 172.275587 199.741231 
L 172.275587 188.127481 
L 147.482462 188.127481 
z
" style="fill:#ffffff;stroke:#ffffff;stroke-linejoin:miter;"/>
    </g>
    <!-- x=0 -->
    <g transform="translate(147.482462 197.245606)scale(0.12 -0.12)">
     <defs>
      <path d="M 54.890625 54.6875 
L 35.109375 28.078125 
L 55.90625 0 
L 45.3125 0 
L 29.390625 21.484375 
L 13.484375 0 
L 2.875 0 
L 24.125 28.609375 
L 4.6875 54.6875 
L 15.28125 54.6875 
L 29.78125 35.203125 
L 44.28125 54.6875 
z
" id="DejaVuSans-120"/>
      <path d="M 31.78125 66.40625 
Q 24.171875 66.40625 20.328125 58.90625 
Q 16.5 51.421875 16.5 36.375 
Q 16.5 21.390625 20.328125 13.890625 
Q 24.171875 6.390625 31.78125 6.390625 
Q 39.453125 6.390625 43.28125 13.890625 
Q 47.125 21.390625 47.125 36.375 
Q 47.125 51.421875 43.28125 58.90625 
Q 39.453125 66.40625 31.78125 66.40625 
z
M 31.78125 74.21875 
Q 44.046875 74.21875 50.515625 64.515625 
Q 56.984375 54.828125 56.984375 36.375 
Q 56.984375 17.96875 50.515625 8.265625 
Q 44.046875 -1.421875 31.78125 -1.421875 
Q 19.53125 -1.421875 13.0625 8.265625 
Q 6.59375 17.96875 6.59375 36.375 
Q 6.59375 54.828125 13.0625 64.515625 
Q 19.53125 74.21875 31.78125 74.21875 
z
" id="DejaVuSans-48"/>
     </defs>
     <use xlink:href="#DejaVuSans-120"/>
     <use x="59.179688" xlink:href="#DejaVuSans-61"/>
     <use x="142.96875" xlink:href="#DejaVuSans-48"/>
    </g>
   </g>
  </g>
  <g id="axes_3">
   <g clip-path="url(#pbf250e21ed)">
    <image height="174.96" id="imagec8427b4a81" transform="scale(1 -1)translate(0 -174.96)" width="147.6" x="322.053538" xlink:href="data:image/png;base64,
iVBORw0KGgoAAAANSUhEUgAAAM0AAADzCAYAAAAlzJK0AAASDklEQVR4nO2dO6xVVdeGJ593VO5XAZFLEMUoUUiMhYmEysQYsbKxURMrL6WJhQ2FmlhKgo1GC200xhCDiUYLJAZjUMALIuAFAUVUxBvevuJvGM9a3x5n+OM5++DzdC9777XmWsfhmu8aY445YcqUKX81ERkx/xnrAYiMNwwakSIGjUgRg0akiEEjUsSgESli0IgUMWhEihg0IkUMGpEiBo1IEYNGpIhBI1LEoBEpYtCIFDFoRIoYNCJFDBqRIgaNSBGDRqTImWM9gNOFCRMmDPz8r7/sX3K64JNGpIhBI1LEoBEpoqcZIfQsf/75Z9B//PFH6fdnnHFG0CPxPJlv4uc8pr7q1OCTRqSIQSNSxKARKaKn+R9k/mHJkiVBL168OGh6nO+++y7oHTt2BP3777+nY6InyXyW/DP4pBEpYtCIFDFoRIr8Kz1N39z/P/+J//+YPHly0LfcckvQ69atC3r58uVBf/PNN0HTjzz++ONBv/DCC0H3eaqlS5cGvWbNmqBnzJgR9Pvvvx/0tm3bgt63b1/Qv/zyS9C8J+Z5/g+fNCJFDBqRIgaNSJEJp+NGtVkN1rx58zq/ueaaa4K+8847g164cOHAY3788cdB//jjj0FPnTo16IMHDwb99NNPB33ixInOGO+6666gV65cGfT5558f9JEjR4Levn170PQ0zzzzTNCHDx8OmvVy/1Z80ogUMWhEihg0IkVOS09Dv3HOOecE/cADD3R+c/vttwfN+fyePXuCnjVr1sAxHD9+fOAYqF999dWg58+f3znmueeeG/S0adOCPnbsWND0OGeeGdNy/P1HH30U9KOPPhr0l19+GTR9W2t5zd7pgE8akSIGjUgRg0akyGnhac4666ygmb+44447gl62bFnnGJyfX3jhhUF///33QR89ejRoehTmYX799degJ06cGPSUKVOC7svT8BgXXHBB5zsnwxo73ifWmnGNENcAPfnkk0G//PLLnXNyHdHpWK/mk0akiEEjUsSgESkyLtfTcJ3HDTfcEDTzC5ybM9/QWjfHMXv27KC5PuaHH34ImvkJehJ6JGp6oD6/wjEyF0T/wLzO9OnTg540aVLQu3fvDvriiy8OmmuKeA9aa23z5s1BM1f022+/BT0e8zo+aUSKGDQiRQwakSIGjUiRoXwRQHPIRnpXXHFF0Pfff//A4+3cuTPokTTVo5FncpOfM6nHc3z99ddBM5nK49Hkt9Z9OdCXAB10DiYzuTCOi8y++OKLoFnweffddw88f2utvfTSSwPPOZImicOGTxqRIgaNSBGDRqTIUHoaJum44Isehv7h7bffDpqLrfbv398559lnnx00PQw1z8nfZ77pp59+CpoeZubMmZ3ffPXVV0HTD2SNL+gV6cOY7OQ1cYxMnrbW2kMPPTTwnCzy7DvGsOOTRqSIQSNSxKARKTIUnobzXi62uvHGG4NesGBB0NwgicWQLCzsm/tzvs7CQnoQ5kyyjWf5OReE8Xxc5NZa14PQczCPwnOy4JNki9bIeeed1/k3Nii89957g/7000+D/uSTT4IeDwWcPmlEihg0IkUMGpEiQ9FYg3N1LgDbsGFD0FxUxrk6PRH9Cs/XWrcxBs9Bv8A8ys8//zzw+1kOhbVpfX6Bi+/oQViLxmuiz+J9oRekj+OY5s6d2xkjx3DppZcG/d577wW9fv36oFkfN4yb7/qkESli0IgUMWhEigxFnob1R8zLsIkd58Vco0E/wnUl9ButdX0QfQ/9AfMqrAOjpuehPyF9n9MXcb7P+8gGIrxP9A+8pqzRH5vE952DObJrr7026Isuuihobo41jHkbnzQiRQwakSIGjUiRofA09AurV68OOqu5omdhXRj9Sl+Tu2ytOuf7XF9Dn8TcUdbIj36Fx2+te908Bq9r8uTJQWcb+PI+sdEfNZsPttZt5E4vRx918803B71x48ag+/5WY41PGpEiBo1IEYNGpMioeBrmHOgPbr311qAXLlwY9Pbt24PmPDl7l5/lN1rr1mHRo2T1a/RR9As8HsfMuXvf2vlvv/02aNaK8Zy8z1kuir/PNP8OrXX9Ja+DObSbbrop6E2bNgXNtVL0dWOxaZRPGpEiBo1IEYNGpMioeBp6iHnz5gV93XXXBU3/cODAgYHHy9bjMzdA3Vp3HQg9CPM4PAbPSc/CHAfXqnzwwQdBr1q1qjNGwo2muN4lGzP9Ab0n7wlzT/RYrXVzbqxF4znpi9auXRs0ewjQp40FPmlEihg0IkUMGpEip9zT9OVMODe+8sorg77qqquC3rVrV9D0C5wH0x9kYxrJu336Afoofk5/wfwE/QJzJPRxzHf0jYGaHiPrGcAx8r7w97wG9sju+7esHxx7I9DvshcD98zJ1iX9E/ikESli0IgUMWhEihg0IkXGpGCTSTIafzZsoHlkopBGnwY2K1T8X/826HOek9fIwkRumMSXGXyR0FcMmZ2D94kNzHkNvC8ZTEz2bZTLlxFMRvJvx5cRvE9jYfQzhm9EIkOOQSNSxKARKTIqyU0WCl522WVBM7FHMj+ReRzqvg2TSJ+nOJlsY1v6CW4yS1hsSb/SWreINPMwWRN2+gV6HCZD6WHYjLBvDFmBJvXixYuDnjhxYtDD0DzQJ41IEYNGpIhBI1JkTPI0s2bNCpobz+7bt2/g8egfOO/lvJqbp44EFkyyMR4b8fEaeU76BX6fPq+veWG1MJWN+0ifbzoZjpEeis1EWuuOm16NHoffpw/jplB79+4d+PvRwCeNSBGDRqSIQSNS5JR7mr4FXsyjcCNaNsrjvJeLrThX5++Zh2E9U98Y+Zssv8D5PD0Oc09ZI44sL9Ra9z5w/p/VdbEujPkv+g96JHpHXnNrXY/B31DznLwmNo7MGp6MBj5pRIoYNCJFDBqRIqfc03Cu3lo3Z8E8y5w5cwYek56FORR6Fm5+muV9WsubbbDuijkTzrXZnJyehetMmBPpa9LOc9DbsQkF/xY8Z1aLxtoz5pr6avh43fSG9HZZ8449e/YEna17Gg180ogUMWhEihg0IkVOuafpm3Py3fzWrVuDXrRoUdCsieLcm8fju3rmSPj7vjFybp01C8w2WKLf4DmzNT1960aYd6HmOXgfM0+T5UDoT6hby5sB0ndlG/iyd8JY5GWITxqRIgaNSBGDRqTIqKynIZzHMu/C9TCci9OzZJ4mW+PRWv9GTyeTbXhEzdwR68L4fd6TPt9F30Sd5ZL6cmgnk22WlfVqaK2b28n6DLDhOcdIzd/zv5XRwCeNSBGDRqSIQSNSZFT6nmXrYbg2hR6EtWqcq3OuzXk0j9/XZ41jzOb/WY+wvhzGoM95TTxe329Yk0ed9ZtmXoZ+gfmwrBatta7/zPoUcMzLli0LeuXKlUFv2bJl4PFGA580IkUMGpEiBo1IEYNGpMiYJDezRt4shmTykwu6ssVWWZO91vLNg/hyguekKaYJ58sIXsNIiiF533hfOAaekwlcXjN1VuDZR7ZrNZORHBOvIWvqPpKduk81PmlEihg0IkUMGpEio9IskHPhgwcPBs35Pf0ACxM57+W8OFtAxrl6a925czbf5zVxzFnys+onWuvO57lgi5/zvvBznpN+hL/nmPoKX7MNtVi4SuhnuViPYxyLjWx90ogUMWhEihg0IkVGxdMw5/DGG28EvXTp0qC5wRELNrkpFDeBpUcaSTFm5jEyTehpssZ8vG99DSToSZiHYSMNfj87HuF9o+/rWyhHn5U1HMkayX/22WcDz6mnERkHGDQiRQwakSKjUnvGd/WsmWJDOG4KS0+TbbCa1aKNBB4ja1KXNTCnzhp59HnDzNtlnobXkOWeOGb+HfuatNP38Jz8W9AD8Zjbt28fePyxwCeNSBGDRqSIQSNSZFQ8DefnrFniu3s2eKAHYoO5zLPwXT+bOfSRNaVgvoBzbV7zsWPHgqan4dy+75qYf6Kmh+E5mTPJ1sdkdWP0nq117xPzVfSv3IDr0KFDA38/DPikESli0IgUMWhEioyJpyHcjHTt2rVBz549O+hsrTw9E3MFfe/6s/q0rE6L36ff4BgJ71Gf36APYt6GNX5ZniUjq7fr62PATZt4r7lehrmmvXv3lsY4FvikESli0IgUMWhEioxJ7Rnn7+xLxvzCihUrgubmp3z3Tz+Rjae1fM1/Np9nXoX5hSwPw7wPv993zr4m6SfDBuZZ3RbHwLUt1H3raVj/xpzatGnTgmaeZtOmTUHTC/Ie2PdMZBxg0IgUMWhEigxFnmbbtm1BX3/99UHPnTs3aHoazu3pF5gLoGdqLV97ntWeEY6JfoK5JM7dOfdvrVszx+vkfJ+eJutTwDEyz0OfNmfOnM4Y6cU4ZnqYd955J+gdO3YEPQwehvikESli0IgUMWhEihg0IkXGZFMnQtPM5n8s8mPykoujaPRpTvsKDY8cORI0TXKW7OxrMnEyNLBceMcFYkwktpZvJJU1yqDOXn7wZQVfFPQlkbOGgnyp88orrwTNIlSOwRcBIuMQg0akiEEjUmQoPA0XV7377rtBr1u3LuglS5YEzSQfE4VZs8LWuvN9+iz6ByYOM3/Ba6Svou/qa07Ic2RFntkGS5kv4+dMuPYVvmYL3+bPnx/0li1bgs6aBw4DPmlEihg0IkUMGpEiQ+Fp6CfYXIFNsFnQuW/fvqC5URD9xEg2nqpuHsTGG/RE9ANZkWnf+WbMmBE0F+/xGBxTtgiNv882deprNsL7yPzT1q1bg961a1fQWZP1anOQfwKfNCJFDBqRIgaNSJGh8DSENU1PPPFE0KtWrRr4/Wqjvta6voq+h/P5rNFGX+3YoONx7t+3cRU9xNSpU4Nm/VzWpL1aL0fPwzG31r1ujvmRRx4JOmtwPgwehvikESli0IgUMWhEigylpyGcq7/55ptBr169Omhu4sS5e5/H4ZqcrJFGVkvG4zEvc/z48aDZ8HDSpEmdMXL+z7UmWQND+gOu6eHnXNvCa+Y6p9a6nubzzz8P+vXXXx94zvGATxqRIgaNSBGDRqTIUHqaLD/AdeVr1qwJmjVa2fr81rp5EX6Hx2ATPPokauYr6EeYc+mrPWOehb4o2xiKY+DaFd43+g3W9HFNUWvd3M2GDRuCzhrDjwd80ogUMWhEihg0IkWG0tMQzq3ZQ2Djxo1B33PPPUGz19ahQ4c656Bf6JuvnwzXsjBHQv+Q5VhI35of/tuJEycGfk5Pww2WsnVGl1xySdDsR7d48eLOGD/88MOgX3zxxaB5X4exB0CGTxqRIgaNSBGDRqTIuPA0hPPgZ599NuiFCxcGfdtttwXNTaFa687PWWt2+PDhoLPNhlhrNnv27KDpedh/us9TMV+VrdlnDiTrF81r4DVefvnlQb/11ludMa5fv37gMcajhyE+aUSKGDQiRQwakSLj0tMQ5iOeeuqpoJcvXx70ihUrOsdgrRdzINyUld9n3iZbH8M8DY/XVx83ffr0oPfv3x80a9F4DPq0rPcaf8+1MA8//HBnjKzJG4/rZTJ80ogUMWhEihg0IkUMGpEiE6ZMmTL2O3/+P6HZ5IZITMo9+OCDnWNwoygmDlncSONOA8ziRr4IYLKTppymvbXW9uzZM3CMbObBFwNMbrKIdObMmUHv3Lkz6MceeyxoFmf+W/BJI1LEoBEpYtCIFDktPA2hx8kSla11fc99990X9IIFC4KmB+lbNHYyTHZyw1b6sL5mgbt37w6aCVVeA8/Jc9CTPP/880FzAyYe79+KTxqRIgaNSBGDRqTIaelpSLb5aWvdYsWrr756oKbHYcPCo0ePBr1o0aKgn3vuuaBfe+21oLmRVd8x6EkOHDgQNBvBc9HY5s2bg2ZuiXmg07H48u/gk0akiEEjUsSgESnyr/A0/wRsGHHxxRcHzUYcrE37O7DejbmhLFckpwafNCJFDBqRIgaNSBE9zQjJchT0E/QfbP7BOjD+njmSvjFknob5qNOhUd8w4JNGpIhBI1LEoBEpclo0CxwNqjkQ+geu+c88EtcA/R2sFftn8EkjUsSgESli0IgU0dOMElV/oR8ZXnzSiBQxaESKGDQiRQwakSIGjUgRg0akiEEjUsSgESli0IgUMWhEihg0IkUMGpEiBo1IEYNGpIhBI1LEoBEpYtCIFDFoRIoYNCJFDBqRIgaNSBGDRqSIQSNSxKARKfJfRvEDxpw9ubIAAAAASUVORK5CYII=" y="-38.325538"/>
   </g>
   <g id="LineCollection_3">
    <path clip-path="url(#pbf250e21ed)" d="M 373.6724 65.343948 
L 412.01784 65.343948 
L 414.967489 68.30278 
L 417.917138 68.30278 
L 434.140209 84.576355 
L 434.140209 87.535186 
L 437.089858 90.494018 
L 437.089858 93.45285 
L 440.039508 96.411682 
L 440.039508 102.329346 
L 442.989157 105.288177 
L 442.989157 114.164673 
L 445.938806 117.123505 
L 445.938806 143.752991 
L 442.989157 146.711823 
L 442.989157 155.588318 
L 440.039508 158.54715 
L 440.039508 161.505982 
L 437.089858 164.464814 
L 437.089858 167.423645 
L 420.866788 183.69722 
L 417.917138 183.69722 
L 412.01784 189.614884 
L 400.219243 189.614884 
L 397.269594 186.656052 
L 394.319945 186.656052 
L 388.420646 192.573716 
L 382.521348 192.573716 
L 379.571698 189.614884 
L 376.622049 189.614884 
L 373.6724 186.656052 
L 370.722751 186.656052 
L 364.823452 180.738389 
L 361.873803 180.738389 
L 354.49968 173.341309 
L 354.49968 170.382477 
L 351.550031 167.423645 
L 351.550031 164.464814 
L 348.600382 161.505982 
L 348.600382 158.54715 
L 345.650732 155.588318 
L 345.650732 152.629486 
L 342.701083 149.670654 
L 342.701083 120.082336 
L 345.650732 117.123505 
L 345.650732 105.288177 
L 348.600382 102.329346 
L 348.600382 96.411682 
L 354.49968 90.494018 
L 354.49968 84.576355 
L 373.6724 65.343948 
L 373.6724 65.343948 
" style="fill:none;stroke:#008000;stroke-width:2.5;"/>
   </g>
   <g id="line2d_5">
    <path clip-path="url(#pbf250e21ed)" d="M 393.658062 204.556985 
L 393.658062 47.443015 
" style="fill:none;stroke:#000000;stroke-linecap:square;stroke-width:1.5;"/>
   </g>
   <g id="line2d_6">
    <path clip-path="url(#pbf250e21ed)" d="M 322.053538 126.761968 
L 469.536 126.761968 
" style="fill:none;stroke:#000000;stroke-linecap:square;stroke-width:1.5;"/>
   </g>
   <g id="text_5">
    <g id="patch_6">
     <path d="M 336.801785 59.056765 
L 343.488035 59.056765 
L 343.488035 47.443015 
L 336.801785 47.443015 
z
" style="fill:#ffffff;stroke:#ffffff;stroke-linejoin:miter;"/>
    </g>
    <!-- L -->
    <g transform="translate(336.801785 56.56114)scale(0.12 -0.12)">
     <use xlink:href="#DejaVuSans-76"/>
    </g>
   </g>
   <g id="text_6">
    <g id="patch_7">
     <path d="M 446.449629 59.056765 
L 454.787754 59.056765 
L 454.787754 47.443015 
L 446.449629 47.443015 
z
" style="fill:#ffffff;stroke:#ffffff;stroke-linejoin:miter;"/>
    </g>
    <!-- R -->
    <g transform="translate(446.449629 56.56114)scale(0.12 -0.12)">
     <use xlink:href="#DejaVuSans-82"/>
    </g>
   </g>
   <g id="text_7">
    <g id="patch_8">
     <path d="M 322.053538 213.285538 
L 353.677288 213.285538 
L 353.677288 201.671788 
L 322.053538 201.671788 
z
" style="fill:#ffffff;stroke:#ffffff;stroke-linejoin:miter;"/>
    </g>
    <!-- z=23 -->
    <g transform="translate(322.053538 210.789913)scale(0.12 -0.12)">
     <defs>
      <path d="M 5.515625 54.6875 
L 48.1875 54.6875 
L 48.1875 46.484375 
L 14.40625 7.171875 
L 48.1875 7.171875 
L 48.1875 0 
L 4.296875 0 
L 4.296875 8.203125 
L 38.09375 47.515625 
L 5.515625 47.515625 
z
" id="DejaVuSans-122"/>
      <path d="M 19.1875 8.296875 
L 53.609375 8.296875 
L 53.609375 0 
L 7.328125 0 
L 7.328125 8.296875 
Q 12.9375 14.109375 22.625 23.890625 
Q 32.328125 33.6875 34.8125 36.53125 
Q 39.546875 41.84375 41.421875 45.53125 
Q 43.3125 49.21875 43.3125 52.78125 
Q 43.3125 58.59375 39.234375 62.25 
Q 35.15625 65.921875 28.609375 65.921875 
Q 23.96875 65.921875 18.8125 64.3125 
Q 13.671875 62.703125 7.8125 59.421875 
L 7.8125 69.390625 
Q 13.765625 71.78125 18.9375 73 
Q 24.125 74.21875 28.421875 74.21875 
Q 39.75 74.21875 46.484375 68.546875 
Q 53.21875 62.890625 53.21875 53.421875 
Q 53.21875 48.921875 51.53125 44.890625 
Q 49.859375 40.875 45.40625 35.40625 
Q 44.1875 33.984375 37.640625 27.21875 
Q 31.109375 20.453125 19.1875 8.296875 
z
" id="DejaVuSans-50"/>
      <path d="M 40.578125 39.3125 
Q 47.65625 37.796875 51.625 33 
Q 55.609375 28.21875 55.609375 21.1875 
Q 55.609375 10.40625 48.1875 4.484375 
Q 40.765625 -1.421875 27.09375 -1.421875 
Q 22.515625 -1.421875 17.65625 -0.515625 
Q 12.796875 0.390625 7.625 2.203125 
L 7.625 11.71875 
Q 11.71875 9.328125 16.59375 8.109375 
Q 21.484375 6.890625 26.8125 6.890625 
Q 36.078125 6.890625 40.9375 10.546875 
Q 45.796875 14.203125 45.796875 21.1875 
Q 45.796875 27.640625 41.28125 31.265625 
Q 36.765625 34.90625 28.71875 34.90625 
L 20.21875 34.90625 
L 20.21875 43.015625 
L 29.109375 43.015625 
Q 36.375 43.015625 40.234375 45.921875 
Q 44.09375 48.828125 44.09375 54.296875 
Q 44.09375 59.90625 40.109375 62.90625 
Q 36.140625 65.921875 28.71875 65.921875 
Q 24.65625 65.921875 20.015625 65.03125 
Q 15.375 64.15625 9.8125 62.3125 
L 9.8125 71.09375 
Q 15.4375 72.65625 20.34375 73.4375 
Q 25.25 74.21875 29.59375 74.21875 
Q 40.828125 74.21875 47.359375 69.109375 
Q 53.90625 64.015625 53.90625 55.328125 
Q 53.90625 49.265625 50.4375 45.09375 
Q 46.96875 40.921875 40.578125 39.3125 
z
" id="DejaVuSans-51"/>
     </defs>
     <use xlink:href="#DejaVuSans-122"/>
     <use x="52.490234" xlink:href="#DejaVuSans-61"/>
     <use x="136.279297" xlink:href="#DejaVuSans-50"/>
     <use x="199.902344" xlink:href="#DejaVuSans-51"/>
    </g>
   </g>
  </g>
  <g id="axes_4">
   <g id="patch_9">
    <path clip-path="url(#p3a4dd99ad4)" d="M 513.336 239.4 
L 513.336 238.510588 
L 513.336 13.489412 
L 513.336 12.6 
L 522.096 12.6 
L 522.096 13.489412 
L 522.096 238.510588 
L 522.096 239.4 
z
" style="fill:#ffffff;stroke:#ffffff;stroke-linejoin:miter;stroke-width:0.01;"/>
   </g>
   <image height="226.8" id="imagee35b3913d0" transform="scale(1 -1)translate(0 -226.8)" width="8.64" x="513.36" xlink:href="data:image/png;base64,
iVBORw0KGgoAAAANSUhEUgAAAAwAAAE7CAYAAADpfWBGAAAAv0lEQVR4nO2QUQrAMBTC2rL7X3m7gm/gkBm/DRL3Wuteg1x770l/DpxR+81CIIC0ZSEQqJTmJSVIWxYCgUppXlKCtGUhEKiU5iUlSFsWAoFKaV5SgrRlIRColOYlJUhbFgKBSmleUoK0ZSEQqJTmJSUfSJ8zG/mFdB5QKc1LSpC2LAQCldK8pARpy0IgUCnNS0qQtiwEApXSvKQEactCIFApzUtKkLYsBAKV0rykBGnLQiBQKc1LSpC2LAQCgdIParoIbr/aaEoAAAAASUVORK5CYII=" y="-12.96"/>
   <g id="matplotlib.axis_1"/>
   <g id="matplotlib.axis_2">
    <g id="ytick_1">
     <g id="line2d_7">
      <defs>
       <path d="M 0 0 
L -3.5 0 
" id="m0c5a8eeb8f"/>
      </defs>
      <g>
       <use x="513.336" xlink:href="#m0c5a8eeb8f" y="239.4"/>
      </g>
     </g>
     <g id="text_8">
      <!-- -81 -->
      <g transform="translate(490.003188 243.199219)scale(0.1 -0.1)">
       <defs>
        <path d="M 31.78125 34.625 
Q 24.75 34.625 20.71875 30.859375 
Q 16.703125 27.09375 16.703125 20.515625 
Q 16.703125 13.921875 20.71875 10.15625 
Q 24.75 6.390625 31.78125 6.390625 
Q 38.8125 6.390625 42.859375 10.171875 
Q 46.921875 13.96875 46.921875 20.515625 
Q 46.921875 27.09375 42.890625 30.859375 
Q 38.875 34.625 31.78125 34.625 
z
M 21.921875 38.8125 
Q 15.578125 40.375 12.03125 44.71875 
Q 8.5 49.078125 8.5 55.328125 
Q 8.5 64.0625 14.71875 69.140625 
Q 20.953125 74.21875 31.78125 74.21875 
Q 42.671875 74.21875 48.875 69.140625 
Q 55.078125 64.0625 55.078125 55.328125 
Q 55.078125 49.078125 51.53125 44.71875 
Q 48 40.375 41.703125 38.8125 
Q 48.828125 37.15625 52.796875 32.3125 
Q 56.78125 27.484375 56.78125 20.515625 
Q 56.78125 9.90625 50.3125 4.234375 
Q 43.84375 -1.421875 31.78125 -1.421875 
Q 19.734375 -1.421875 13.25 4.234375 
Q 6.78125 9.90625 6.78125 20.515625 
Q 6.78125 27.484375 10.78125 32.3125 
Q 14.796875 37.15625 21.921875 38.8125 
z
M 18.3125 54.390625 
Q 18.3125 48.734375 21.84375 45.5625 
Q 25.390625 42.390625 31.78125 42.390625 
Q 38.140625 42.390625 41.71875 45.5625 
Q 45.3125 48.734375 45.3125 54.390625 
Q 45.3125 60.0625 41.71875 63.234375 
Q 38.140625 66.40625 31.78125 66.40625 
Q 25.390625 66.40625 21.84375 63.234375 
Q 18.3125 60.0625 18.3125 54.390625 
z
" id="DejaVuSans-56"/>
       </defs>
       <use xlink:href="#DejaVuSans-45"/>
       <use x="36.083984" xlink:href="#DejaVuSans-56"/>
       <use x="99.707031" xlink:href="#DejaVuSans-49"/>
      </g>
     </g>
    </g>
    <g id="ytick_2">
     <g id="line2d_8">
      <g>
       <use x="513.336" xlink:href="#m0c5a8eeb8f" y="182.7"/>
      </g>
     </g>
     <g id="text_9">
      <!-- 2.3e+02 -->
      <g transform="translate(463.175063 186.499219)scale(0.1 -0.1)">
       <defs>
        <path d="M 10.6875 12.40625 
L 21 12.40625 
L 21 0 
L 10.6875 0 
z
" id="DejaVuSans-46"/>
        <path d="M 56.203125 29.59375 
L 56.203125 25.203125 
L 14.890625 25.203125 
Q 15.484375 15.921875 20.484375 11.0625 
Q 25.484375 6.203125 34.421875 6.203125 
Q 39.59375 6.203125 44.453125 7.46875 
Q 49.3125 8.734375 54.109375 11.28125 
L 54.109375 2.78125 
Q 49.265625 0.734375 44.1875 -0.34375 
Q 39.109375 -1.421875 33.890625 -1.421875 
Q 20.796875 -1.421875 13.15625 6.1875 
Q 5.515625 13.8125 5.515625 26.8125 
Q 5.515625 40.234375 12.765625 48.109375 
Q 20.015625 56 32.328125 56 
Q 43.359375 56 49.78125 48.890625 
Q 56.203125 41.796875 56.203125 29.59375 
z
M 47.21875 32.234375 
Q 47.125 39.59375 43.09375 43.984375 
Q 39.0625 48.390625 32.421875 48.390625 
Q 24.90625 48.390625 20.390625 44.140625 
Q 15.875 39.890625 15.1875 32.171875 
z
" id="DejaVuSans-101"/>
        <path d="M 46 62.703125 
L 46 35.5 
L 73.1875 35.5 
L 73.1875 27.203125 
L 46 27.203125 
L 46 0 
L 37.796875 0 
L 37.796875 27.203125 
L 10.59375 27.203125 
L 10.59375 35.5 
L 37.796875 35.5 
L 37.796875 62.703125 
z
" id="DejaVuSans-43"/>
       </defs>
       <use xlink:href="#DejaVuSans-50"/>
       <use x="63.623047" xlink:href="#DejaVuSans-46"/>
       <use x="95.410156" xlink:href="#DejaVuSans-51"/>
       <use x="159.033203" xlink:href="#DejaVuSans-101"/>
       <use x="220.556641" xlink:href="#DejaVuSans-43"/>
       <use x="304.345703" xlink:href="#DejaVuSans-48"/>
       <use x="367.96875" xlink:href="#DejaVuSans-50"/>
      </g>
     </g>
    </g>
    <g id="ytick_3">
     <g id="line2d_9">
      <g>
       <use x="513.336" xlink:href="#m0c5a8eeb8f" y="126"/>
      </g>
     </g>
     <g id="text_10">
      <!-- 5.4e+02 -->
      <g transform="translate(463.175063 129.799219)scale(0.1 -0.1)">
       <defs>
        <path d="M 10.796875 72.90625 
L 49.515625 72.90625 
L 49.515625 64.59375 
L 19.828125 64.59375 
L 19.828125 46.734375 
Q 21.96875 47.46875 24.109375 47.828125 
Q 26.265625 48.1875 28.421875 48.1875 
Q 40.625 48.1875 47.75 41.5 
Q 54.890625 34.8125 54.890625 23.390625 
Q 54.890625 11.625 47.5625 5.09375 
Q 40.234375 -1.421875 26.90625 -1.421875 
Q 22.3125 -1.421875 17.546875 -0.640625 
Q 12.796875 0.140625 7.71875 1.703125 
L 7.71875 11.625 
Q 12.109375 9.234375 16.796875 8.0625 
Q 21.484375 6.890625 26.703125 6.890625 
Q 35.15625 6.890625 40.078125 11.328125 
Q 45.015625 15.765625 45.015625 23.390625 
Q 45.015625 31 40.078125 35.4375 
Q 35.15625 39.890625 26.703125 39.890625 
Q 22.75 39.890625 18.8125 39.015625 
Q 14.890625 38.140625 10.796875 36.28125 
z
" id="DejaVuSans-53"/>
        <path d="M 37.796875 64.3125 
L 12.890625 25.390625 
L 37.796875 25.390625 
z
M 35.203125 72.90625 
L 47.609375 72.90625 
L 47.609375 25.390625 
L 58.015625 25.390625 
L 58.015625 17.1875 
L 47.609375 17.1875 
L 47.609375 0 
L 37.796875 0 
L 37.796875 17.1875 
L 4.890625 17.1875 
L 4.890625 26.703125 
z
" id="DejaVuSans-52"/>
       </defs>
       <use xlink:href="#DejaVuSans-53"/>
       <use x="63.623047" xlink:href="#DejaVuSans-46"/>
       <use x="95.410156" xlink:href="#DejaVuSans-52"/>
       <use x="159.033203" xlink:href="#DejaVuSans-101"/>
       <use x="220.556641" xlink:href="#DejaVuSans-43"/>
       <use x="304.345703" xlink:href="#DejaVuSans-48"/>
       <use x="367.96875" xlink:href="#DejaVuSans-50"/>
      </g>
     </g>
    </g>
    <g id="ytick_4">
     <g id="line2d_10">
      <g>
       <use x="513.336" xlink:href="#m0c5a8eeb8f" y="69.3"/>
      </g>
     </g>
     <g id="text_11">
      <!-- 8.5e+02 -->
      <g transform="translate(463.175063 73.099219)scale(0.1 -0.1)">
       <use xlink:href="#DejaVuSans-56"/>
       <use x="63.623047" xlink:href="#DejaVuSans-46"/>
       <use x="95.410156" xlink:href="#DejaVuSans-53"/>
       <use x="159.033203" xlink:href="#DejaVuSans-101"/>
       <use x="220.556641" xlink:href="#DejaVuSans-43"/>
       <use x="304.345703" xlink:href="#DejaVuSans-48"/>
       <use x="367.96875" xlink:href="#DejaVuSans-50"/>
      </g>
     </g>
    </g>
    <g id="ytick_5">
     <g id="line2d_11">
      <g>
       <use x="513.336" xlink:href="#m0c5a8eeb8f" y="12.6"/>
      </g>
     </g>
     <g id="text_12">
      <!-- 1.2e+03 -->
      <g transform="translate(463.175063 16.399219)scale(0.1 -0.1)">
       <use xlink:href="#DejaVuSans-49"/>
       <use x="63.623047" xlink:href="#DejaVuSans-46"/>
       <use x="95.410156" xlink:href="#DejaVuSans-50"/>
       <use x="159.033203" xlink:href="#DejaVuSans-101"/>
       <use x="220.556641" xlink:href="#DejaVuSans-43"/>
       <use x="304.345703" xlink:href="#DejaVuSans-48"/>
       <use x="367.96875" xlink:href="#DejaVuSans-51"/>
      </g>
     </g>
    </g>
   </g>
   <g id="patch_10">
    <path d="M 513.336 239.4 
L 513.336 238.510588 
L 513.336 13.489412 
L 513.336 12.6 
L 522.096 12.6 
L 522.096 13.489412 
L 522.096 238.510588 
L 522.096 239.4 
z
" style="fill:none;stroke:#000000;stroke-linejoin:miter;stroke-width:0.8;"/>
   </g>
  </g>
  <g id="axes_5"/>
 </g>
 <defs>
  <clipPath id="p6f14668658">
   <rect height="147.482462" width="147.482462" x="0" y="52.258769"/>
  </clipPath>
  <clipPath id="pcf38c6b3cb">
   <rect height="147.482462" width="174.571077" x="147.482462" y="52.258769"/>
  </clipPath>
  <clipPath id="pbf250e21ed">
   <rect height="174.571077" width="147.482462" x="322.053538" y="38.714462"/>
  </clipPath>
  <clipPath id="p3a4dd99ad4">
   <rect height="226.8" width="8.76" x="513.336" y="12.6"/>
  </clipPath>
 </defs>
</svg>
"
            alt="No image provided."
          />
        </div>
      </div>
    </div>
    <div class="pure-g">
      <div class="pure-u-1 pure-u-md-3-3">
        <p>
          The mask includes 24256 voxels (16.4 %) of the image.
        </p>
      </div>
      <div class="pure-u-1 pure-u-md-3-3 table-container">
         <table class="pure-table">
      <thead>
        <tr style="text-align: right;">
          <th></th>
          <th>Value</th>
        </tr>
        <tr>
          <th>Parameter</th>
          <th></th>
        </tr>
      </thead>
      <tbody>
        <tr>
          <th>clean_args</th>
          <td>None</td>
        </tr>
        <tr>
          <th>cmap</th>
          <td>gray</td>
        </tr>
        <tr>
          <th>detrend</th>
          <td>False</td>
        </tr>
        <tr>
          <th>dtype</th>
          <td>None</td>
        </tr>
        <tr>
          <th>high_pass</th>
          <td>None</td>
        </tr>
        <tr>
          <th>high_variance_confounds</th>
          <td>False</td>
        </tr>
        <tr>
          <th>low_pass</th>
          <td>None</td>
        </tr>
        <tr>
          <th>mask_args</th>
          <td>None</td>
        </tr>
        <tr>
          <th>mask_img</th>
          <td>None</td>
        </tr>
        <tr>
          <th>mask_strategy</th>
          <td>epi</td>
        </tr>
        <tr>
          <th>memory</th>
          <td>Memory(location=nilearn_cache/joblib)</td>
        </tr>
        <tr>
          <th>memory_level</th>
          <td>2</td>
        </tr>
        <tr>
          <th>reports</th>
          <td>True</td>
        </tr>
        <tr>
          <th>runs</th>
          <td>None</td>
        </tr>
        <tr>
          <th>smoothing_fwhm</th>
          <td>8</td>
        </tr>
        <tr>
          <th>standardize</th>
          <td>zscore_sample</td>
        </tr>
        <tr>
          <th>standardize_confounds</th>
          <td>True</td>
        </tr>
        <tr>
          <th>t_r</th>
          <td>None</td>
        </tr>
        <tr>
          <th>target_affine</th>
          <td>None</td>
        </tr>
        <tr>
          <th>target_shape</th>
          <td>None</td>
        </tr>
        <tr>
          <th>verbose</th>
          <td>0</td>
        </tr>
      </tbody>
    </table> 
      </div>
    </div>
    <div class="pure-u-1 pure-u-md-3-3 d-flex justify-content-center">
      <p>
        This report was generated based on information provided at instantiation and
        fit time. Note that the masker can potentially perform resampling at
        transform time.
      </p>
    </div>

        </div>
      </div>
    </section>

    </div>
    <br />
    <br />

.. GENERATED FROM PYTHON SOURCE LINES 59-60

Preprocess data with the NiftiMasker

.. GENERATED FROM PYTHON SOURCE LINES 60-64

.. code-block:: Python

    nifti_masker.fit(func_filename)
    fmri_masked = nifti_masker.transform(func_filename)
    # fmri_masked is now a 2D matrix, (n_voxels x n_time_points)





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    /home/runner/work/nilearn/nilearn/.tox/doc/lib/python3.9/site-packages/nilearn/maskers/base_masker.py:136: UserWarning: Persisting input arguments took 0.59s to run.
    If this happens often in your code, it can cause performance problems 
    (results will be correct in all cases). 
    The reason for this is probably some large input arguments for a wrapped
     function (e.g. large strings).
    THIS IS A JOBLIB ISSUE. If you can, kindly provide the joblib's team with an
     example so that they can fix the problem.
      region_signals, aux = cache(




.. GENERATED FROM PYTHON SOURCE LINES 65-66

Run an algorithm

.. GENERATED FROM PYTHON SOURCE LINES 66-72

.. code-block:: Python

    from sklearn.decomposition import FastICA

    n_components = 10
    ica = FastICA(n_components=n_components, random_state=42)
    components_masked = ica.fit_transform(fmri_masked.T).T





.. rst-class:: sphx-glr-script-out

 .. code-block:: none

    /home/runner/work/nilearn/nilearn/.tox/doc/lib/python3.9/site-packages/sklearn/decomposition/_fastica.py:128: ConvergenceWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
      warnings.warn(




.. GENERATED FROM PYTHON SOURCE LINES 73-74

Reverse masking, and display the corresponding map

.. GENERATED FROM PYTHON SOURCE LINES 74-93

.. code-block:: Python

    components = nifti_masker.inverse_transform(components_masked)

    from nilearn.image import index_img

    # Visualize results
    from nilearn.plotting import plot_stat_map, show

    # calculate mean image for the background
    mean_func_img = mean_img(func_filename, copy_header=True)

    plot_stat_map(
        index_img(components, 0),
        mean_func_img,
        display_mode="y",
        cut_coords=4,
        title="Component 0",
    )

    show()



.. image-sg:: /auto_examples/06_manipulating_images/images/sphx_glr_plot_nifti_simple_002.png
   :alt: plot nifti simple
   :srcset: /auto_examples/06_manipulating_images/images/sphx_glr_plot_nifti_simple_002.png
   :class: sphx-glr-single-img






.. rst-class:: sphx-glr-timing

   **Total running time of the script:** (0 minutes 11.723 seconds)

**Estimated memory usage:**  864 MB


.. _sphx_glr_download_auto_examples_06_manipulating_images_plot_nifti_simple.py:

.. only:: html

  .. container:: sphx-glr-footer sphx-glr-footer-example

    .. container:: binder-badge

      .. image:: images/binder_badge_logo.svg
        :target: https://mybinder.org/v2/gh/nilearn/nilearn/0.12.0?urlpath=lab/tree/notebooks/auto_examples/06_manipulating_images/plot_nifti_simple.ipynb
        :alt: Launch binder
        :width: 150 px

    .. container:: sphx-glr-download sphx-glr-download-jupyter

      :download:`Download Jupyter notebook: plot_nifti_simple.ipynb <plot_nifti_simple.ipynb>`

    .. container:: sphx-glr-download sphx-glr-download-python

      :download:`Download Python source code: plot_nifti_simple.py <plot_nifti_simple.py>`

    .. container:: sphx-glr-download sphx-glr-download-zip

      :download:`Download zipped: plot_nifti_simple.zip <plot_nifti_simple.zip>`


.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_