{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PIVPy graphics tutorial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import numpy as np\n",
    "from pivpy import io, pivpy, graphics\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Let's create a sample dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = io.create_sample_Dataset()\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(10,10))\n",
    "graphics.quiver(df.piv.average,arrScale=3,streamlines=True);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt.figure(figsize=(10,10)) \n",
    "# plot quiver of the first frame (t[0]), selected by .isel and apply quiver()\n",
    "df.isel(t=0).piv.quiver(arrScale=7,streamlines=True) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "fig,ax = graphics.contour_plot(df.isel(t=-1),colorbar='vertical')\n",
    "fig.set_size_inches(6,6)\n",
    "ax.set_xlabel('$x$ (pix)',fontsize=16);"
   ]
  }
 ],
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   "display_name": "pivpy",
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   "nbconvert_exporter": "python",
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