{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python implementation: CPython\n",
      "Python version       : 3.8.5\n",
      "IPython version      : 7.19.0\n",
      "\n",
      "numpy  : 1.19.2\n",
      "openpiv: 0.23.5\n",
      "\n",
      "Compiler    : GCC 7.3.0\n",
      "OS          : Linux\n",
      "Release     : 5.4.0-70-generic\n",
      "Machine     : x86_64\n",
      "Processor   : x86_64\n",
      "CPU cores   : 8\n",
      "Architecture: 64bit\n",
      "\n"
     ]
    }
   ],
   "source": [
    "%reload_ext watermark\n",
    "%watermark -v -m -p numpy,openpiv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "from openpiv import windef\n",
    "\n",
    "import numpy as np\n",
    "import os\n",
    "from time import time\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "import matplotlib\n",
    "matplotlib.rcParams['figure.figsize'] = (8.0, 8.0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import glob\n",
    "file_list = sorted(glob.glob('../data/karman_16Hz_*.jpg'))\n",
    "file_list = file_list[-2:]\n",
    "file_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "settings = windef.Settings()\n",
    "\n",
    "# 'Data related settings'\n",
    "# Folder with the images to process\n",
    "# settings.filepath_images = '../data/'\n",
    "# Folder for the outputs\n",
    "settings.save_path = '../OpenPIV_results/'\n",
    "# Root name of the output Folder for Result Files\n",
    "settings.save_folder_suffix = 'Test_1'\n",
    "# Format and Image Sequence\n",
    "# settings.frame_pattern_a = 'karman_16Hz_000_A.jpg'\n",
    "# settings.frame_pattern_b = 'karman_16Hz_000_B.jpg'\n",
    "\n",
    "settings.filepath_images = '/home/user/Downloads/repos/openpiv-python/openpiv/examples/test10/'\n",
    "settings.frame_pattern_a = 'B001_1.tif'\n",
    "settings.frame_pattern_b = 'B001_2.tif'\n",
    "\n",
    "'Region of interest'\n",
    "# (50,300,50,300) #Region of interest: (xmin,xmax,ymin,ymax) or 'full' for full image\n",
    "settings.ROI = 'full'\n",
    "# settings.ROI = (200,400,500,900)\n",
    "# settings.ROI = (200,212,500,512)\n",
    "\n",
    "# settings.deformation_method = 'symmetric' \n",
    "settings.deformation_method = 'second image'\n",
    "\n",
    "\n",
    "settings.num_iterations = 1  # select the number of PIV passes\n",
    "\n",
    "# add the interrogation window size for each pass. \n",
    "# For the moment, it should be a power of 2 \n",
    "# settings.windowsizes=(64, 32, 16, 6)\n",
    "# settings.overlap=(32, 16, 8, 3)\n",
    "\n",
    "settings.windowsizes=(32,32)\n",
    "settings.overlap=(16,16)\n",
    "\n",
    "# settings.windowsizes = (128, 64, 32, 16, 8) # if longer than n iteration the rest is ignored\n",
    "# The overlap of the interroagtion window for each pass.\n",
    "# settings.overlap = (64, 32, 16, 8, 4) # This is 50% overlap\n",
    "\n",
    "\n",
    "# Has to be a value with base two. In general window size/2 is a good choice.\n",
    "# methode used for subpixel interpolation: 'gaussian','centroid','parabolic'\n",
    "settings.subpixel_method = 'gaussian'\n",
    "\n",
    "# order of the image interpolation for the window deformation\n",
    "settings.interpolation_order = 3\n",
    "settings.scaling_factor = 1  # scaling factor pixel/meter\n",
    "settings.dt = 1  # time between to frames (in seconds)\n",
    "\n",
    "# 'Signal to noise ratio options (only for the last pass)'\n",
    "# It is possible to decide if the S/N should be computed (for the last pass) or not\n",
    "# settings.extract_sig2noise = True  # 'True' or 'False' (only for the last pass)\n",
    "settings.sig2noise_threshold = 1.25\n",
    "# method used to calculate the signal to noise ratio 'peak2peak' or 'peak2mean'\n",
    "settings.sig2noise_method = 'peak2peak'\n",
    "# select the width of the masked to masked out pixels next to the main peak\n",
    "settings.sig2noise_mask = 2\n",
    "settings.sig2noise_validate = False\n",
    "\n",
    "# If extract_sig2noise==False the values in the signal to noise ratio\n",
    "# output column are set to NaN\n",
    "\n",
    "# only effecting the first pass of the interrogation the following passes\n",
    "# in the multipass will be validated\n",
    "\n",
    "'Output options'\n",
    "# Select if you want to save the plotted vectorfield: True or False\n",
    "settings.save_plot = False\n",
    "# Choose wether you want to see the vectorfield or not :True or False\n",
    "settings.show_plot = False\n",
    "settings.scale_plot = 100  # select a value to scale the quiver plot of the vectorfield\n",
    "# run the script with the given settings\n",
    "\n",
    "\n",
    "\n",
    "# 'Processing Parameters'\n",
    "settings.correlation_method='circular'  # 'circular' or 'linear'\n",
    "settings.normalized_correlation = False\n",
    "\n",
    "# 'vector validation options'\n",
    "# choose if you want to do validation of the first pass: True or False\n",
    "settings.validation_first_pass = True\n",
    "\n",
    "\n",
    "settings.filter_method = 'localmean'\n",
    "\n",
    "\n",
    "settings.replace_vectors = True\n",
    "# maximum iterations performed to replace the outliers\n",
    "settings.max_filter_iteration = 4\n",
    "settings.filter_kernel_size = 2  # kernel size for the localmean method\n",
    "\n",
    "\n",
    "\n",
    "settings.MinMax_U_disp = (-10, 10)\n",
    "settings.MinMax_V_disp = (-10, 10)\n",
    "\n",
    "# The second filter is based on the global STD threshold\n",
    "settings.std_threshold = 5  # threshold of the std validation\n",
    "\n",
    "# The third filter is the median test (not normalized at the moment)\n",
    "settings.median_threshold = 3  # threshold of the median validation\n",
    "# On the last iteration, an additional validation can be done based on the S/N.\n",
    "settings.median_size = 2 # defines the size of the local median, it'll be 3 x 3\n",
    "\n",
    "# New settings for version 0.23.2c\n",
    "settings.image_mask = False\n",
    "\n",
    "# Image mask properties\n",
    "settings.dynamic_masking_method = 'None'\n",
    "settings.dynamic_masking_threshold = 0.1\n",
    "settings.dynamic_masking_filter_size = 21\n",
    "\n",
    "\n",
    "\n",
    "# Smoothing after the first pass\n",
    "settings.smoothn = False #Enables smoothing of the displacemenet field\n",
    "settings.smoothn_p = 0.5 # This is a smoothing parameter\n",
    "\n",
    "\n",
    "settings.show_all_plots = False"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "import glob\n",
    "file_list = sorted(glob.glob('../data/karman_16Hz_*.jpg'))\n",
    "file_list = file_list[-2:]\n",
    "file_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1e+03 ns, sys: 1 µs, total: 2 µs\n",
      "Wall time: 4.05 µs\n",
      "Image Pair 1\n",
      "B001_1.tif B001_2.tif\n"
     ]
    }
   ],
   "source": [
    "%time\n",
    "windef.piv(settings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pivpy import pivpy, io, graphics\n",
    "import xarray as xr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['../OpenPIV_results/Open_PIV_results_32_Test_1/field_A000.txt']"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import glob\n",
    "\n",
    "file_list = sorted(glob.glob('../OpenPIV_results/Open_PIV_results_'+str(settings.windowsizes[settings.num_iterations-1])+'_Test_1/*.txt'))\n",
    "file_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_data(file_list):\n",
    "    data = []\n",
    "    frame = 0\n",
    "    for f in file_list:\n",
    "        data.append(io.load_txt(f,frame=frame))\n",
    "        frame += 1\n",
    "\n",
    "    data = xr.concat(data,dim='t')\n",
    "    data.attrs['units']= ['pix','pix','pix/dt','pix/dt']\n",
    "    return data\n",
    "# file_list = sorted(glob.glob('../OpenPIV_results/Open_PIV_results_6_Test_1/*.txt'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "def plot_data(data):\n",
    "    fig, ax = plt.subplots(1,1,figsize=(20,12))\n",
    "    # for ax in axs:\n",
    "    ax.quiver(data.x.data, data.y.data, data.u.isel(t=0).data.T, data.v.isel(t=0).data.T, color='r', scale=120)\n",
    "    vort = (data.differentiate('x')['v'] - data.differentiate('y')['u'])\n",
    "    s = ax.pcolor(data.x,data.y,vort.T.isel(t=0), shading='interp', vmin=-.3, vmax=.3,alpha=0.7)\n",
    "    # s = ax.pcolor(data.x,data.y,data.w.T.isel(t=0), shading='interp', vmin=-.1, vmax=.1,alpha=0.7)\n",
    "    # ax.invert_yaxis()\n",
    "    ax.set_aspect(1)\n",
    "    fig.colorbar(s, ax=ax,)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = read_data(file_list)\n",
    "plot_data(data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (t: 1, x: 31, y: 31)\n",
       "Coordinates:\n",
       "  * x        (x) float64 16.0 32.0 48.0 64.0 80.0 ... 448.0 464.0 480.0 496.0\n",
       "  * y        (y) float64 496.0 480.0 464.0 448.0 432.0 ... 64.0 48.0 32.0 16.0\n",
       "  * t        (t) int64 0\n",
       "Data variables:\n",
       "    u        (x, y, t) float64 0.9635 0.9866 0.9936 ... -0.6609 -0.6342 -0.6043\n",
       "    v        (x, y, t) float64 0.7933 0.8538 0.8973 ... -0.7644 -0.6542 -0.6479\n",
       "    chc      (x, y, t) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "Attributes:\n",
       "    variables:  [&#x27;x&#x27;, &#x27;y&#x27;, &#x27;u&#x27;, &#x27;v&#x27;, &#x27;s2n&#x27;]\n",
       "    units:      [&#x27;pix&#x27;, &#x27;pix&#x27;, &#x27;pix/dt&#x27;, &#x27;pix/dt&#x27;]\n",
       "    dt:         1.0\n",
       "    files:      ../OpenPIV_results/Open_PIV_results_32_Test_1/field_A000.txt</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-401c3bb7-c8fa-4e3e-b3a8-2acf1b642310' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-401c3bb7-c8fa-4e3e-b3a8-2acf1b642310' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>t</span>: 1</li><li><span class='xr-has-index'>x</span>: 31</li><li><span class='xr-has-index'>y</span>: 31</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-638e4848-27a4-4f34-af99-6ac72d37b2a2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-638e4848-27a4-4f34-af99-6ac72d37b2a2' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.0 32.0 48.0 ... 480.0 496.0</div><input id='attrs-fb551011-b164-4166-b619-1eaa7d330fd5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-fb551011-b164-4166-b619-1eaa7d330fd5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ecd0bcaa-702e-44d8-8fe9-c227643ecf45' class='xr-var-data-in' type='checkbox'><label for='data-ecd0bcaa-702e-44d8-8fe9-c227643ecf45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 16.,  32.,  48.,  64.,  80.,  96., 112., 128., 144., 160., 176., 192.,\n",
       "       208., 224., 240., 256., 272., 288., 304., 320., 336., 352., 368., 384.,\n",
       "       400., 416., 432., 448., 464., 480., 496.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>496.0 480.0 464.0 ... 32.0 16.0</div><input id='attrs-0c2f5ede-6d9a-4f18-aca8-be14843779ba' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0c2f5ede-6d9a-4f18-aca8-be14843779ba' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3688e84e-8d87-4cc2-8e8c-f8436c3db4aa' class='xr-var-data-in' type='checkbox'><label for='data-3688e84e-8d87-4cc2-8e8c-f8436c3db4aa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([496., 480., 464., 448., 432., 416., 400., 384., 368., 352., 336., 320.,\n",
       "       304., 288., 272., 256., 240., 224., 208., 192., 176., 160., 144., 128.,\n",
       "       112.,  96.,  80.,  64.,  48.,  32.,  16.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>t</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-937aae3c-7f3f-4be7-8953-3e54ad6e46a9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-937aae3c-7f3f-4be7-8953-3e54ad6e46a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba2f42db-c05d-48cd-8036-522147e6be00' class='xr-var-data-in' type='checkbox'><label for='data-ba2f42db-c05d-48cd-8036-522147e6be00' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2a144c4b-4f2b-4fb6-b35b-44be1cce5a4b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-2a144c4b-4f2b-4fb6-b35b-44be1cce5a4b' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(x, y, t)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9635 0.9866 ... -0.6342 -0.6043</div><input id='attrs-54dde434-bb83-415c-9c2f-cc043b761f27' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-54dde434-bb83-415c-9c2f-cc043b761f27' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-797e0a55-51b7-4572-94db-58c1240c07c2' class='xr-var-data-in' type='checkbox'><label for='data-797e0a55-51b7-4572-94db-58c1240c07c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[ 9.6350e-01],\n",
       "        [ 9.8660e-01],\n",
       "        [ 9.9360e-01],\n",
       "        [ 1.0070e+00],\n",
       "        [ 1.0005e+00],\n",
       "        [ 9.5470e-01],\n",
       "        [ 9.2040e-01],\n",
       "        [ 8.8180e-01],\n",
       "        [ 8.1000e-01],\n",
       "        [ 7.2500e-01],\n",
       "        [ 5.8840e-01],\n",
       "        [ 3.6690e-01],\n",
       "        [ 2.2930e-01],\n",
       "        [ 1.3140e-01],\n",
       "        [ 1.4600e-02],\n",
       "        [-1.1640e-01],\n",
       "        [-1.8860e-01],\n",
       "        [-3.0660e-01],\n",
       "        [-4.7850e-01],\n",
       "        [-5.6220e-01],\n",
       "...\n",
       "        [ 6.7900e-02],\n",
       "        [ 2.2300e-02],\n",
       "        [-1.4600e-02],\n",
       "        [-4.1800e-02],\n",
       "        [-9.3200e-02],\n",
       "        [-1.4370e-01],\n",
       "        [-1.9240e-01],\n",
       "        [-2.5630e-01],\n",
       "        [-3.0310e-01],\n",
       "        [-3.3110e-01],\n",
       "        [-3.8530e-01],\n",
       "        [-4.6590e-01],\n",
       "        [-4.9320e-01],\n",
       "        [-5.3200e-01],\n",
       "        [-5.7860e-01],\n",
       "        [-5.9530e-01],\n",
       "        [-6.2240e-01],\n",
       "        [-6.6090e-01],\n",
       "        [-6.3420e-01],\n",
       "        [-6.0430e-01]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(x, y, t)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7933 0.8538 ... -0.6542 -0.6479</div><input id='attrs-e31af98b-1524-46df-ae71-96ac7841acee' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e31af98b-1524-46df-ae71-96ac7841acee' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-881c0492-777d-41e8-8576-7b6862ed89de' class='xr-var-data-in' type='checkbox'><label for='data-881c0492-777d-41e8-8576-7b6862ed89de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[ 7.9330e-01],\n",
       "        [ 8.5380e-01],\n",
       "        [ 8.9730e-01],\n",
       "        [ 9.7210e-01],\n",
       "        [ 1.0779e+00],\n",
       "        [ 1.1402e+00],\n",
       "        [ 1.2409e+00],\n",
       "        [ 1.3640e+00],\n",
       "        [ 1.5202e+00],\n",
       "        [ 1.5931e+00],\n",
       "        [ 1.7141e+00],\n",
       "        [ 1.7766e+00],\n",
       "        [ 1.8080e+00],\n",
       "        [ 1.7853e+00],\n",
       "        [ 1.7693e+00],\n",
       "        [ 1.7409e+00],\n",
       "        [ 1.6529e+00],\n",
       "        [ 1.5286e+00],\n",
       "        [ 1.4159e+00],\n",
       "        [ 1.2788e+00],\n",
       "...\n",
       "        [-1.0044e+00],\n",
       "        [-9.8420e-01],\n",
       "        [-1.0226e+00],\n",
       "        [-1.0360e+00],\n",
       "        [-1.0422e+00],\n",
       "        [-1.0509e+00],\n",
       "        [-1.0571e+00],\n",
       "        [-1.0439e+00],\n",
       "        [-1.0475e+00],\n",
       "        [-1.0421e+00],\n",
       "        [-9.8960e-01],\n",
       "        [-9.5560e-01],\n",
       "        [-9.6740e-01],\n",
       "        [-8.7110e-01],\n",
       "        [-8.5970e-01],\n",
       "        [-8.1600e-01],\n",
       "        [-8.0540e-01],\n",
       "        [-7.6440e-01],\n",
       "        [-6.5420e-01],\n",
       "        [-6.4790e-01]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chc</span></div><div class='xr-var-dims'>(x, y, t)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-135671b1-6d0f-44cb-83cc-1212aedf8895' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-135671b1-6d0f-44cb-83cc-1212aedf8895' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a0b598cf-7d14-4e5f-984e-43a9ad6117db' class='xr-var-data-in' type='checkbox'><label for='data-a0b598cf-7d14-4e5f-984e-43a9ad6117db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "...\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4ede61dc-7265-4a24-860d-a5b86bd9dfab' class='xr-section-summary-in' type='checkbox'  checked><label for='section-4ede61dc-7265-4a24-860d-a5b86bd9dfab' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>variables :</span></dt><dd>[&#x27;x&#x27;, &#x27;y&#x27;, &#x27;u&#x27;, &#x27;v&#x27;, &#x27;s2n&#x27;]</dd><dt><span>units :</span></dt><dd>[&#x27;pix&#x27;, &#x27;pix&#x27;, &#x27;pix/dt&#x27;, &#x27;pix/dt&#x27;]</dd><dt><span>dt :</span></dt><dd>1.0</dd><dt><span>files :</span></dt><dd>../OpenPIV_results/Open_PIV_results_32_Test_1/field_A000.txt</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (t: 1, x: 31, y: 31)\n",
       "Coordinates:\n",
       "  * x        (x) float64 16.0 32.0 48.0 64.0 80.0 ... 448.0 464.0 480.0 496.0\n",
       "  * y        (y) float64 496.0 480.0 464.0 448.0 432.0 ... 64.0 48.0 32.0 16.0\n",
       "  * t        (t) int64 0\n",
       "Data variables:\n",
       "    u        (x, y, t) float64 0.9635 0.9866 0.9936 ... -0.6609 -0.6342 -0.6043\n",
       "    v        (x, y, t) float64 0.7933 0.8538 0.8973 ... -0.7644 -0.6542 -0.6479\n",
       "    chc      (x, y, t) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "Attributes:\n",
       "    variables:  ['x', 'y', 'u', 'v', 's2n']\n",
       "    units:      ['pix', 'pix', 'pix/dt', 'pix/dt']\n",
       "    dt:         1.0\n",
       "    files:      ../OpenPIV_results/Open_PIV_results_32_Test_1/field_A000.txt"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "import openpiv.original_windef as original_windef"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('filepath_images',\n",
       "  '/home/user/Downloads/repos/openpiv-python/openpiv/examples/test10/'),\n",
       " ('save_path', '../OpenPIV_results/'),\n",
       " ('save_folder_suffix', 'Test_2'),\n",
       " ('frame_pattern_a', 'B001_1.tif'),\n",
       " ('frame_pattern_b', 'B001_2.tif'),\n",
       " ('ROI', 'full'),\n",
       " ('dynamic_masking_method', 'None'),\n",
       " ('dynamic_masking_threshold', 0.1),\n",
       " ('dynamic_masking_filter_size', 21),\n",
       " ('correlation_method', 'circular'),\n",
       " ('num_iterations', 1),\n",
       " ('windowsizes', (32, 32)),\n",
       " ('overlap', (16, 16)),\n",
       " ('subpixel_method', 'gaussian'),\n",
       " ('interpolation_order', 3),\n",
       " ('scaling_factor', 1),\n",
       " ('dt', 1),\n",
       " ('extract_sig2noise', False),\n",
       " ('sig2noise_method', 'peak2peak'),\n",
       " ('sig2noise_mask', 2),\n",
       " ('validation_first_pass', True),\n",
       " ('MinMax_U_disp', (-10, 10)),\n",
       " ('MinMax_V_disp', (-10, 10)),\n",
       " ('std_threshold', 5),\n",
       " ('median_threshold', 3),\n",
       " ('median_size', 2),\n",
       " ('do_sig2noise_validation', False),\n",
       " ('sig2noise_threshold', 1.25),\n",
       " ('replace_vectors', True),\n",
       " ('smoothn', False),\n",
       " ('smoothn_p', 0.5),\n",
       " ('filter_method', 'localmean'),\n",
       " ('max_filter_iteration', 4),\n",
       " ('filter_kernel_size', 2),\n",
       " ('save_plot', False),\n",
       " ('show_plot', False),\n",
       " ('scale_plot', 100),\n",
       " ('show_all_plots', False),\n",
       " ('normalized_correlation', False),\n",
       " ('_FrozenClass__isfrozen', True)]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# %pdb\n",
    "\n",
    "newsettings = original_windef.Settings()\n",
    "for att in newsettings.__dict__:\n",
    "    if hasattr(settings, att):\n",
    "        setattr(newsettings,att,getattr(settings,att))\n",
    "\n",
    "\n",
    "\n",
    "newsettings.do_sig2noise_validation = settings.sig2noise_validate\n",
    "newsettings.extract_sig2noise = settings.sig2noise_validate\n",
    "newsettings.save_folder_suffix = 'Test_2'\n",
    "newsettings.normalized_correlation=False\n",
    "# newsettings.num_iterations = settings.num_iterations\n",
    "\n",
    "# settings.correlation_method='linear'\n",
    "# settings.show_all_plots = True\n",
    "\n",
    "attrs = vars(newsettings)\n",
    "[item for item in attrs.items()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1e+03 ns, sys: 0 ns, total: 1e+03 ns\n",
      "Wall time: 3.81 µs\n",
      "global filter invalidated 3 vectors\n",
      "std filter invalidated 11 vectors\n",
      "median filter invalidated 2 vectors\n",
      "Image Pair 1\n"
     ]
    }
   ],
   "source": [
    "%time\n",
    "original_windef.piv(newsettings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['../OpenPIV_results/Open_PIV_results_32_Test_2/field_A000.txt']"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file_list = sorted(glob.glob('../OpenPIV_results/Open_PIV_results_'+str(newsettings.windowsizes[newsettings.num_iterations-1])+'_Test_2/*.txt'))\n",
    "file_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1440x864 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = read_data(file_list)\n",
    "plot_data(data)"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "for att in tmp.__dict__:\n",
    "    setattr(tmp,att,getattr(settings,att))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  --xr-font-color3: rgba(255, 255, 255, 0.38);\n",
       "  --xr-border-color: #1F1F1F;\n",
       "  --xr-disabled-color: #515151;\n",
       "  --xr-background-color: #111111;\n",
       "  --xr-background-color-row-even: #111111;\n",
       "  --xr-background-color-row-odd: #313131;\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: '►';\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: '▼';\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: '(';\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: ')';\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: ',';\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  display: none;\n",
       "  background-color: var(--xr-background-color) !important;\n",
       "  padding-bottom: 5px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2 {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
       "Dimensions:  (t: 1, x: 31, y: 31)\n",
       "Coordinates:\n",
       "  * x        (x) float64 16.0 32.0 48.0 64.0 80.0 ... 448.0 464.0 480.0 496.0\n",
       "  * y        (y) float64 496.0 480.0 464.0 448.0 432.0 ... 64.0 48.0 32.0 16.0\n",
       "  * t        (t) int64 0\n",
       "Data variables:\n",
       "    u        (x, y, t) float64 0.9635 0.9866 0.9936 ... -0.6609 -0.6342 -0.6043\n",
       "    v        (x, y, t) float64 0.7933 0.8538 0.8973 ... -0.7644 -0.6542 -0.6479\n",
       "    chc      (x, y, t) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "Attributes:\n",
       "    variables:  [&#x27;x&#x27;, &#x27;y&#x27;, &#x27;u&#x27;, &#x27;v&#x27;, &#x27;s2n&#x27;]\n",
       "    units:      [&#x27;pix&#x27;, &#x27;pix&#x27;, &#x27;pix/dt&#x27;, &#x27;pix/dt&#x27;]\n",
       "    dt:         1.0\n",
       "    files:      ../OpenPIV_results/Open_PIV_results_32_Test_2/field_A000.txt</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4d28147e-289d-4adb-a1c3-94cd2405c92f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4d28147e-289d-4adb-a1c3-94cd2405c92f' class='xr-section-summary'  title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>t</span>: 1</li><li><span class='xr-has-index'>x</span>: 31</li><li><span class='xr-has-index'>y</span>: 31</li></ul></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-026f8d27-ac99-4a27-860b-d39a9c0be878' class='xr-section-summary-in' type='checkbox'  checked><label for='section-026f8d27-ac99-4a27-860b-d39a9c0be878' class='xr-section-summary' >Coordinates: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>16.0 32.0 48.0 ... 480.0 496.0</div><input id='attrs-55201086-fc34-484f-8314-fea5b5e14751' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-55201086-fc34-484f-8314-fea5b5e14751' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-12a651dc-111f-4dc4-b2b6-6db5b82669e2' class='xr-var-data-in' type='checkbox'><label for='data-12a651dc-111f-4dc4-b2b6-6db5b82669e2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 16.,  32.,  48.,  64.,  80.,  96., 112., 128., 144., 160., 176., 192.,\n",
       "       208., 224., 240., 256., 272., 288., 304., 320., 336., 352., 368., 384.,\n",
       "       400., 416., 432., 448., 464., 480., 496.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>y</span></div><div class='xr-var-dims'>(y)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>496.0 480.0 464.0 ... 32.0 16.0</div><input id='attrs-44909f09-8a96-4b92-9493-1e41fb5a04d3' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-44909f09-8a96-4b92-9493-1e41fb5a04d3' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7259825b-1c9c-4c32-b7eb-09ecd38de57a' class='xr-var-data-in' type='checkbox'><label for='data-7259825b-1c9c-4c32-b7eb-09ecd38de57a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([496., 480., 464., 448., 432., 416., 400., 384., 368., 352., 336., 320.,\n",
       "       304., 288., 272., 256., 240., 224., 208., 192., 176., 160., 144., 128.,\n",
       "       112.,  96.,  80.,  64.,  48.,  32.,  16.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>t</span></div><div class='xr-var-dims'>(t)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0</div><input id='attrs-1f298608-7ece-4f05-b202-f6ab4bd5bf00' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-1f298608-7ece-4f05-b202-f6ab4bd5bf00' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0a7f6cd7-1aeb-4569-89f9-8e769dc80430' class='xr-var-data-in' type='checkbox'><label for='data-0a7f6cd7-1aeb-4569-89f9-8e769dc80430' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9eb1896e-932f-4c12-aa1e-d35f65d0acc2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9eb1896e-932f-4c12-aa1e-d35f65d0acc2' class='xr-section-summary' >Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>u</span></div><div class='xr-var-dims'>(x, y, t)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.9635 0.9866 ... -0.6342 -0.6043</div><input id='attrs-7db9c18a-fb7d-47f3-af31-e99ddb18b7f2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7db9c18a-fb7d-47f3-af31-e99ddb18b7f2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03ab6d3f-8f70-4b84-9fb7-23f4c028d820' class='xr-var-data-in' type='checkbox'><label for='data-03ab6d3f-8f70-4b84-9fb7-23f4c028d820' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[ 9.6350e-01],\n",
       "        [ 9.8660e-01],\n",
       "        [ 9.9360e-01],\n",
       "        [ 1.0070e+00],\n",
       "        [ 1.0005e+00],\n",
       "        [ 9.5470e-01],\n",
       "        [ 9.2040e-01],\n",
       "        [ 8.8180e-01],\n",
       "        [ 8.1000e-01],\n",
       "        [ 7.2500e-01],\n",
       "        [ 5.8840e-01],\n",
       "        [ 3.6690e-01],\n",
       "        [ 2.2930e-01],\n",
       "        [ 1.3140e-01],\n",
       "        [ 1.4600e-02],\n",
       "        [-1.1640e-01],\n",
       "        [-1.8860e-01],\n",
       "        [-3.0660e-01],\n",
       "        [-4.7850e-01],\n",
       "        [-5.6220e-01],\n",
       "...\n",
       "        [ 6.7900e-02],\n",
       "        [ 2.2300e-02],\n",
       "        [-1.4600e-02],\n",
       "        [-4.1800e-02],\n",
       "        [-9.3200e-02],\n",
       "        [-1.4370e-01],\n",
       "        [-1.9240e-01],\n",
       "        [-2.5630e-01],\n",
       "        [-3.0310e-01],\n",
       "        [-3.3110e-01],\n",
       "        [-3.8530e-01],\n",
       "        [-4.6590e-01],\n",
       "        [-4.9320e-01],\n",
       "        [-5.3200e-01],\n",
       "        [-5.7860e-01],\n",
       "        [-5.9530e-01],\n",
       "        [-6.2240e-01],\n",
       "        [-6.6090e-01],\n",
       "        [-6.3420e-01],\n",
       "        [-6.0430e-01]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>v</span></div><div class='xr-var-dims'>(x, y, t)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.7933 0.8538 ... -0.6542 -0.6479</div><input id='attrs-d1aaf7c1-84ef-43a1-96a4-9f431f2a9a86' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d1aaf7c1-84ef-43a1-96a4-9f431f2a9a86' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2c51634-4a04-40f8-9fd6-c6027f77fa27' class='xr-var-data-in' type='checkbox'><label for='data-d2c51634-4a04-40f8-9fd6-c6027f77fa27' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[ 7.9330e-01],\n",
       "        [ 8.5380e-01],\n",
       "        [ 8.9730e-01],\n",
       "        [ 9.7210e-01],\n",
       "        [ 1.0779e+00],\n",
       "        [ 1.1402e+00],\n",
       "        [ 1.2409e+00],\n",
       "        [ 1.3640e+00],\n",
       "        [ 1.5202e+00],\n",
       "        [ 1.5931e+00],\n",
       "        [ 1.7141e+00],\n",
       "        [ 1.7766e+00],\n",
       "        [ 1.8080e+00],\n",
       "        [ 1.7853e+00],\n",
       "        [ 1.7693e+00],\n",
       "        [ 1.7409e+00],\n",
       "        [ 1.6529e+00],\n",
       "        [ 1.5286e+00],\n",
       "        [ 1.4159e+00],\n",
       "        [ 1.2788e+00],\n",
       "...\n",
       "        [-1.0044e+00],\n",
       "        [-9.8420e-01],\n",
       "        [-1.0226e+00],\n",
       "        [-1.0360e+00],\n",
       "        [-1.0422e+00],\n",
       "        [-1.0509e+00],\n",
       "        [-1.0571e+00],\n",
       "        [-1.0439e+00],\n",
       "        [-1.0475e+00],\n",
       "        [-1.0421e+00],\n",
       "        [-9.8960e-01],\n",
       "        [-9.5560e-01],\n",
       "        [-9.6740e-01],\n",
       "        [-8.7110e-01],\n",
       "        [-8.5970e-01],\n",
       "        [-8.1600e-01],\n",
       "        [-8.0540e-01],\n",
       "        [-7.6440e-01],\n",
       "        [-6.5420e-01],\n",
       "        [-6.4790e-01]]])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>chc</span></div><div class='xr-var-dims'>(x, y, t)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0</div><input id='attrs-e8ccc7b4-66da-412e-9281-93be86e8321b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e8ccc7b4-66da-412e-9281-93be86e8321b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-e5704cc3-7220-481d-8328-e92115843eaf' class='xr-var-data-in' type='checkbox'><label for='data-e5704cc3-7220-481d-8328-e92115843eaf' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([[[0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "...\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.],\n",
       "        [0.]]])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-89354864-8b83-4d46-a5f5-4526f414612b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-89354864-8b83-4d46-a5f5-4526f414612b' class='xr-section-summary' >Attributes: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>variables :</span></dt><dd>[&#x27;x&#x27;, &#x27;y&#x27;, &#x27;u&#x27;, &#x27;v&#x27;, &#x27;s2n&#x27;]</dd><dt><span>units :</span></dt><dd>[&#x27;pix&#x27;, &#x27;pix&#x27;, &#x27;pix/dt&#x27;, &#x27;pix/dt&#x27;]</dd><dt><span>dt :</span></dt><dd>1.0</dd><dt><span>files :</span></dt><dd>../OpenPIV_results/Open_PIV_results_32_Test_2/field_A000.txt</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (t: 1, x: 31, y: 31)\n",
       "Coordinates:\n",
       "  * x        (x) float64 16.0 32.0 48.0 64.0 80.0 ... 448.0 464.0 480.0 496.0\n",
       "  * y        (y) float64 496.0 480.0 464.0 448.0 432.0 ... 64.0 48.0 32.0 16.0\n",
       "  * t        (t) int64 0\n",
       "Data variables:\n",
       "    u        (x, y, t) float64 0.9635 0.9866 0.9936 ... -0.6609 -0.6342 -0.6043\n",
       "    v        (x, y, t) float64 0.7933 0.8538 0.8973 ... -0.7644 -0.6542 -0.6479\n",
       "    chc      (x, y, t) float64 0.0 0.0 0.0 0.0 0.0 0.0 ... 0.0 0.0 0.0 0.0 0.0\n",
       "Attributes:\n",
       "    variables:  ['x', 'y', 'u', 'v', 's2n']\n",
       "    units:      ['pix', 'pix', 'pix/dt', 'pix/dt']\n",
       "    dt:         1.0\n",
       "    files:      ../OpenPIV_results/Open_PIV_results_32_Test_2/field_A000.txt"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
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   "metadata": {},
   "outputs": [],
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