{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 0. Imports\n",
    "---\n",
    " - Pablo Leo Muñoz - pleo@etsfactory.com"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# data wrangling\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "# plots\n",
    "import matplotlib.pyplot as plt\n",
    "from matplotlib import animation, rc\n",
    "from matplotlib.cm import get_cmap\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "from matplotlib.font_manager import FontProperties\n",
    "from matplotlib.collections import LineCollection\n",
    "from matplotlib.colors import ListedColormap\n",
    "from mpl_toolkits.mplot3d.art3d import Line3DCollection\n",
    "\n",
    "# set the type of animations\n",
    "rc('animation', html='html5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1. Data load\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# ------------------- ADD INDEX DATA BELOW! ------------------------\n",
    "# generate RANDOM prices (one for each index)\n",
    "index_returns = np.random.normal(loc=1e-4, scale=5e-3, size=(783, 9))\n",
    "index_returns = np.vstack((np.zeros(shape=(1, 9)) + 100, index_returns))\n",
    "\n",
    "# generate the cummulative returns\n",
    "index_prices = np.cumprod(1 + index_returns, axis=0)\n",
    "\n",
    "# select the window\n",
    "window = 261\n",
    "indexes_rolling = np.zeros(shape=(index_prices.shape[0]-window, 9))\n",
    "\n",
    "# generate the rolling equity\n",
    "for i in range(window, index_prices.shape[0], 1):\n",
    "    indexes_rolling[i-window] = (index_prices[i]/index_prices[i-window]) - 1\n",
    "\n",
    "# generate dataframe with the data\n",
    "index = pd.date_range('2019-01-01', periods=index_prices.shape[0]-window, freq='B')\n",
    "columns = ['GER | DAX', 'UK  | UKX', 'FR  | CAC', 'IT  | FTSEMIB', 'ES  | IBEX', 'NL  | AEX', 'CH  | SMI', 'SE  | OMX', 'BE  | BEL20']\n",
    "indexes_rolling = pd.DataFrame(indexes_rolling, index=index, columns=columns)\n",
    "# ------------------- ADD INDEX DATA ABOVE! ------------------------"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. 2D Animation\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create the figure\n",
    "fig, axes = plt.subplots(1, 2, figsize=(9, 3.6), gridspec_kw={'width_ratios': [.9, .1]})\n",
    "fig.patch.set_alpha(1)\n",
    "\n",
    "# make right plot invisible and only update left one\n",
    "axes[1].axis('off')\n",
    "ax = axes[0]\n",
    "\n",
    "# get the cmap to use\n",
    "cmap = get_cmap('RdYlGn')\n",
    "\n",
    "# get the slice\n",
    "current_slice = indexes_rolling.values[:261, :]\n",
    "index_names = indexes_rolling.columns\n",
    "index_dates = indexes_rolling.index\n",
    "\n",
    "# list holding the lines\n",
    "lines = []\n",
    "\n",
    "# for each index...\n",
    "for i in range(current_slice.shape[1]):\n",
    "\n",
    "    # get the coordinates\n",
    "    x = np.array(np.arange(current_slice.shape[0]))\n",
    "    y = np.array(current_slice[:, i])\n",
    "\n",
    "    # crete points and segments to color\n",
    "    points = np.array([x, y]).T.reshape(-1, 1, 2)\n",
    "    segments = np.concatenate([points[:-1], points[1:]], axis=1)\n",
    "\n",
    "    # Create a continuous norm to map from data points to colors\n",
    "    norm = plt.Normalize(-0.19, 0.19)\n",
    "    lc = LineCollection(segments, cmap=cmap, norm=norm)\n",
    "\n",
    "    # Set the values used for colormapping\n",
    "    lc.set_array(y)\n",
    "    lc.set_linewidth(2)\n",
    "    lc.set_color(cmap(y[-1] * 2.5 + 0.5))\n",
    "    lc.set_label(index_names[i])\n",
    "    lines.append(ax.add_collection(lc))\n",
    "\n",
    "# add the grids\n",
    "ax.legend(loc='center right', bbox_to_anchor=(1.32, 0.5), fancybox=True, facecolor=(.95,.95,.95,1), framealpha=1, shadow=False, frameon=True, ncol=1, columnspacing=0, prop={'family': 'DejaVu Sans Mono'})\n",
    "ax.yaxis.grid(color='gray', linestyle='dashed')\n",
    "ax.xaxis.grid(color='gray', linestyle='dashed')\n",
    "ax.set_xlim(0, current_slice.shape[0]-1)\n",
    "ax.set_ylim(-0.39, 0.39)\n",
    "ax.set_yticklabels(['{:.0%}'.format(val) for val in ax.get_yticks()])\n",
    "ax.set_ylabel('Rolling Equity 1Y')\n",
    "ax.set_xlabel('Date')\n",
    "ax.set_xticklabels([index_dates[int(val)].strftime('%m/%y') for val in ax.get_xticks()])\n",
    "ax.set_facecolor((0, 0, 0, 1.0))\n",
    "\n",
    "# show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def update_lines_2D(num, data, columns, dates, cmap, lines, ax):\n",
    "    '''\n",
    "    Function that updates the lines of a plot in 2D\n",
    "    '''\n",
    "    \n",
    "    # get the slice\n",
    "    current_slice = data[num:261+num, :]\n",
    "    current_dates = dates[num:261+num]\n",
    "    \n",
    "    # for each index...\n",
    "    for i in range(current_slice.shape[1]):\n",
    "\n",
    "        # get the coordinates\n",
    "        x = np.array(np.arange(current_slice.shape[0]))\n",
    "        y = np.array(current_slice[:, i])\n",
    "\n",
    "        # crete points and segments to color\n",
    "        points = np.array([x, y]).T.reshape(-1, 1, 2)\n",
    "        segments = np.concatenate([points[:-1], points[1:]], axis=1)\n",
    "\n",
    "        # Create a continuous norm to map from data points to colors\n",
    "        norm = plt.Normalize(-0.22, 0.22)        \n",
    "        lines[i].set_segments(segments)\n",
    "        lines[i].set_array(y)\n",
    "        lines[i].set_color(cmap(y[-1] * 2.5 + 0.5))\n",
    "    \n",
    "    # update the ticks and labels\n",
    "    ax.set_xticklabels([dates[int(val)+num].strftime('%m/%y') for val in ax.get_xticks()[:-1]] + [''])\n",
    "    ax.legend(loc='center right', bbox_to_anchor=(1.32, 0.5), fancybox=True, facecolor=(.95,.95,.95,1), framealpha=1, shadow=False, frameon=True, ncol=1, columnspacing=0, prop={'family': 'DejaVu Sans Mono'})\n",
    "    \n",
    "    # return the lines\n",
    "    return lines\n",
    "\n",
    "\n",
    "def init_lines_2D():\n",
    "    '''\n",
    "    Function that initiates the lines of a plot in 2D\n",
    "    '''\n",
    "    for line in lines:\n",
    "        line.set_array([])\n",
    "    return lines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create the animation\n",
    "line_ani = animation.FuncAnimation(fig=fig, \n",
    "                                   func=update_lines_2D, \n",
    "                                   # frames=30,\n",
    "                                   frames=indexes_rolling.shape[0]-261, \n",
    "                                   init_func=init_lines_2D, \n",
    "                                   fargs=(indexes_rolling.values, indexes_rolling.columns, indexes_rolling.index, cmap, lines, ax),\n",
    "                                   interval=75, \n",
    "                                   blit=True)\n",
    "\n",
    "# show the animation\n",
    "line_ani"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # callback to show the evolution\n",
    "# progress_callback = lambda i, n: print('Saving frame {:.0%}'.format(i/n)) if int((i/n) * 100) % 10 == 0 else None\n",
    "\n",
    "# # save the animation\n",
    "# line_ani.save('./2D_animation.gif', writer='imagemagick', fps=14, dpi=80, codec='h264', bitrate=2048, progress_callback=progress_callback)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.1 3D Animation\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create the figure\n",
    "fig = plt.figure(figsize=(14.4, 9))\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "fig.patch.set_alpha(1)\n",
    "\n",
    "# get the cmap to use\n",
    "cmap = get_cmap('RdYlGn')\n",
    "\n",
    "# get the slice\n",
    "current_slice = indexes_rolling.values[:261, :]\n",
    "index_names = indexes_rolling.columns\n",
    "index_dates = indexes_rolling.index\n",
    "\n",
    "# list holding the lines\n",
    "lines = []\n",
    "\n",
    "# for each index...\n",
    "for i in range(current_slice.shape[1]):\n",
    "\n",
    "    # get the coordinates\n",
    "    x = np.array(np.arange(current_slice.shape[0]))\n",
    "    y = np.tile(i, current_slice.shape[0])\n",
    "    z = np.array(current_slice[:, i])\n",
    "\n",
    "    # crete points and segments to color\n",
    "    points = np.array([x, y, z]).T.reshape(-1, 1, 3)\n",
    "    segments = np.concatenate([points[:-1], points[1:]], axis=1)\n",
    "\n",
    "    # Create a continuous norm to map from data points to colors\n",
    "    norm = plt.Normalize(-0.19, 0.19)\n",
    "    lc = Line3DCollection(segments, cmap=cmap, norm=norm, zorder=current_slice.shape[1]-i)\n",
    "\n",
    "    # Set the values used for colormapping\n",
    "    lc.set_array(z)\n",
    "    lc.set_linewidth(2)\n",
    "    lc.set_color(cmap(z[-1] * 2.5 + 0.5))\n",
    "    lc.set_label(index_names[i])\n",
    "    lines.append(ax.add_collection(lc))\n",
    "\n",
    "# add the grids\n",
    "ax.legend(loc='center right', bbox_to_anchor=(1.1, 0.46), fancybox=True, facecolor=(.95,.95,.95,1), framealpha=1, shadow=False, frameon=True, ncol=1, columnspacing=0, prop={'family': 'DejaVu Sans Mono'})\n",
    "ax.set_zlabel('Rolling Equity 1Y', labelpad=10)\n",
    "ax.set_zlim(-0.39, 0.39)\n",
    "ax.set_zticklabels([' '* 3 + '{:.0%}'.format(val) for val in ax.get_zticks()], fontdict={'verticalalignment': 'center', 'horizontalalignment': 'center'})\n",
    "ax.set_xlabel('Date', labelpad=30)\n",
    "ax.set_xlim(0, current_slice.shape[0]-1)\n",
    "ax.set_xticklabels([index_dates[int(val)].strftime('%m/%y') for val in ax.get_xticks()[:-1]] + [''], rotation=0, fontdict={'verticalalignment': 'top', 'horizontalalignment': 'center'})\n",
    "ax.set_yticks(np.arange(current_slice.shape[1]))\n",
    "ax.set_yticklabels([index_names[i] for i in range(current_slice.shape[1])], rotation=-15, fontdict={'verticalalignment': 'center', 'horizontalalignment': 'left'})\n",
    "ax.w_xaxis.set_pane_color((0, 0, 0, 1.0))\n",
    "ax.w_yaxis.set_pane_color((0, 0, 0, 1.0))\n",
    "ax.w_zaxis.set_pane_color((0, 0, 0, 1.0))\n",
    "ax.view_init(25, -60)\n",
    "\n",
    "# ------------------------------------------------------------------\n",
    "x_scale=1.8\n",
    "y_scale=1\n",
    "z_scale=1\n",
    "\n",
    "scale=np.diag([x_scale, y_scale, z_scale, 1.0])\n",
    "scale=scale*(1.0/scale.max())\n",
    "scale[3,3]=1.0\n",
    "\n",
    "def short_proj():\n",
    "    return np.dot(Axes3D.get_proj(ax), scale)\n",
    "\n",
    "ax.get_proj=short_proj\n",
    "\n",
    "fig.subplots_adjust(left=0, right=1, bottom=0, top=1)\n",
    "# ------------------------------------------------------------------\n",
    "\n",
    "# show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def update_lines_3D(num, data, columns, dates, cmap, lines, ax):\n",
    "    '''\n",
    "    Function that updates the lines of a plot in 2D\n",
    "    '''\n",
    "    \n",
    "    # get the slice\n",
    "    current_slice = data[num:261+num, :]\n",
    "    current_dates = dates[num:261+num]\n",
    "    \n",
    "    # for each index...\n",
    "    for i in range(current_slice.shape[1]):\n",
    "\n",
    "        # get the coordinates\n",
    "        x = np.arange(current_slice.shape[0])\n",
    "        y = np.tile(i, current_slice.shape[0])\n",
    "        z = np.array(current_slice[:, i])\n",
    "\n",
    "        # crete points and segments to color\n",
    "        points = np.array([x, y, z]).T.reshape(-1, 1, 3)\n",
    "        segments = np.concatenate([points[:-1], points[1:]], axis=1)\n",
    "\n",
    "        # Create a continuous norm to map from data points to colors\n",
    "        norm = plt.Normalize(-0.19, 0.19)        \n",
    "        lines[i].set_segments(segments)\n",
    "        lines[i].set_array(z)\n",
    "        lines[i].set_color(cmap(z[-1] * 2.5 + 0.5))\n",
    "\n",
    "    # update the ticks and labels\n",
    "    ax.set_xticklabels([dates[int(val)+num].strftime('%m/%y') for val in ax.get_xticks()[:-1]] + [''], rotation=0, fontdict={'verticalalignment': 'top', 'horizontalalignment': 'center'})\n",
    "    ax.legend(loc='center right', bbox_to_anchor=(1.1, 0.46), fancybox=True, facecolor=(.95,.95,.95,1), framealpha=1, shadow=False, frameon=True, ncol=1, columnspacing=0, prop={'family': 'DejaVu Sans Mono'})\n",
    "    \n",
    "    # return the lines\n",
    "    return lines\n",
    "\n",
    "def init_lines_3D():\n",
    "    for line in lines:\n",
    "        line.set_array([])\n",
    "    return lines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create the animation\n",
    "line_ani = animation.FuncAnimation(fig=fig, \n",
    "                                   func=update_lines_3D, \n",
    "                                   # frames=30,\n",
    "                                   frames=indexes_rolling.shape[0]-261, \n",
    "                                   init_func=init_lines_3D, \n",
    "                                   fargs=(indexes_rolling.values, indexes_rolling.columns, indexes_rolling.index, cmap, lines, ax),\n",
    "                                   interval=75, \n",
    "                                   blit=True)\n",
    "\n",
    "# show the animation\n",
    "line_ani"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # callback to show the evolution\n",
    "# progress_callback = lambda i, n: print('Saving frame {:.0%}'.format(i/n)) if int((i/n) * 100) % 10 == 0 else None\n",
    "\n",
    "# # save the animation\n",
    "# line_ani.save('./3D_animation.gif', writer='imagemagick', fps=14, dpi=80, codec='h264', bitrate=2048, progress_callback=progress_callback)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 3.2 3D Mesh Animation\n",
    "---"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create the figure\n",
    "fig = plt.figure(figsize=(14.4, 9))\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "fig.patch.set_alpha(1)\n",
    "\n",
    "# get the cmap to use\n",
    "cmap = get_cmap('RdYlGn')\n",
    "\n",
    "# get the slice\n",
    "# current_slice = indexes_rolling.values[:261, :]\n",
    "current_slice = indexes_rolling.values[:int(261/2), :]\n",
    "index_names = indexes_rolling.columns\n",
    "index_dates = indexes_rolling.index\n",
    "\n",
    "# list holding the lines\n",
    "lines = []\n",
    "\n",
    "# for each index...\n",
    "for i in range(current_slice.shape[1]):\n",
    "\n",
    "    # get the coordinates\n",
    "    x = np.array(np.arange(current_slice.shape[0]))\n",
    "    y = np.tile(i, current_slice.shape[0])\n",
    "    z = np.array(current_slice[:, i])\n",
    "\n",
    "    # crete points and segments to color\n",
    "    points = np.array([x, y, z]).T.reshape(-1, 1, 3)\n",
    "    segments = np.concatenate([points[:-1], points[1:]], axis=1)\n",
    "\n",
    "    # Create a continuous norm to map from data points to colors\n",
    "    norm = plt.Normalize(-0.19, 0.19)\n",
    "    lc = Line3DCollection(segments, cmap=cmap, norm=norm, zorder=current_slice.shape[1]-i)\n",
    "\n",
    "    # Set the values used for colormapping\n",
    "    lc.set_array(z)\n",
    "    lc.set_linewidth(2)\n",
    "    lc.set_color(cmap(z[-1] * 2.5 + 0.5))\n",
    "    lc.set_label(index_names[i])\n",
    "    lines.append(ax.add_collection(lc))\n",
    "\n",
    "# list holding the mesh lines\n",
    "mesh_lines = []\n",
    "\n",
    "# for each day...\n",
    "for j in range(current_slice.shape[0]):\n",
    "\n",
    "    if j % 1 == 0:\n",
    "        \n",
    "        # get the coordinates\n",
    "        x = np.tile(j, current_slice.shape[1])\n",
    "        y = np.arange(current_slice.shape[1])\n",
    "        z = np.array(current_slice[j, :])\n",
    "\n",
    "        # crete points and segments to color\n",
    "        points = np.array([x, y, z]).T.reshape(-1, 1, 3)\n",
    "        segments = np.concatenate([points[:-1], points[1:]], axis=1)\n",
    "\n",
    "        # Create a continuous norm to map from data points to colors\n",
    "        norm = plt.Normalize(-0.19, 0.19)\n",
    "        lc = Line3DCollection(segments, cmap=cmap, norm=norm)\n",
    "\n",
    "        # Set the values used for colormapping\n",
    "        lc.set_array(z)\n",
    "        lc.set_linewidth(2)\n",
    "        mesh_lines.append(ax.add_collection(lc))\n",
    "    \n",
    "# add the grids\n",
    "ax.legend(loc='center right', bbox_to_anchor=(1.1, 0.46), fancybox=True, facecolor=(.95,.95,.95,1), framealpha=1, shadow=False, frameon=True, ncol=1, columnspacing=0, prop={'family': 'DejaVu Sans Mono'})\n",
    "ax.set_zlabel('Rolling Equity 1Y', labelpad=10)\n",
    "ax.set_zlim(-0.39, 0.39)\n",
    "ax.set_zticklabels([' '* 3 + '{:.0%}'.format(val) for val in ax.get_zticks()], fontdict={'verticalalignment': 'center', 'horizontalalignment': 'center'})\n",
    "ax.set_xlabel('Date', labelpad=30)\n",
    "ax.set_xlim(0, current_slice.shape[0]-1)\n",
    "ax.set_xticklabels([index_dates[int(val)].strftime('%m/%y') for val in ax.get_xticks()[:-1]] + [''], rotation=0, fontdict={'verticalalignment': 'top', 'horizontalalignment': 'center'})\n",
    "ax.set_yticks(np.arange(current_slice.shape[1]))\n",
    "ax.set_yticklabels([index_names[i]for i in range(current_slice.shape[1])], rotation=-15, fontdict={'verticalalignment': 'center', 'horizontalalignment': 'left'})\n",
    "ax.w_xaxis.set_pane_color((0, 0, 0, 1.0))\n",
    "ax.w_yaxis.set_pane_color((0, 0, 0, 1.0))\n",
    "ax.w_zaxis.set_pane_color((0, 0, 0, 1.0))\n",
    "ax.view_init(25, -60)\n",
    "\n",
    "# ------------------------------------------------------------------\n",
    "x_scale=1.8\n",
    "y_scale=1\n",
    "z_scale=1\n",
    "\n",
    "scale=np.diag([x_scale, y_scale, z_scale, 1.0])\n",
    "scale=scale*(1.0/scale.max())\n",
    "scale[3,3]=1.0\n",
    "\n",
    "def short_proj():\n",
    "    return np.dot(Axes3D.get_proj(ax), scale)\n",
    "\n",
    "ax.get_proj=short_proj\n",
    "\n",
    "fig.subplots_adjust(left=0, right=1, bottom=0, top=1)\n",
    "# ------------------------------------------------------------------\n",
    "\n",
    "# show the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def update_mesh_lines_3D(num, data, columns, dates, cmap, lines, mesh_lines, ax):\n",
    "    '''\n",
    "    Function that updates the lines of a plot in 2D\n",
    "    '''\n",
    "    \n",
    "    # get the slice\n",
    "#     current_slice = data[num:261+num, :]\n",
    "    current_slice = data[num:int(261/2)+num, :]\n",
    "    \n",
    "    # for each index...\n",
    "    for i in range(current_slice.shape[1]):\n",
    "\n",
    "        # get the coordinates\n",
    "        x = np.arange(current_slice.shape[0])\n",
    "        y = np.tile(i, current_slice.shape[0])\n",
    "        z = np.array(current_slice[:, i])\n",
    "\n",
    "        # crete points and segments to color\n",
    "        points = np.array([x, y, z]).T.reshape(-1, 1, 3)\n",
    "        segments = np.concatenate([points[:-1], points[1:]], axis=1)\n",
    "\n",
    "        # Create a continuous norm to map from data points to colors\n",
    "        norm = plt.Normalize(-0.19, 0.19)        \n",
    "        lines[i].set_segments(segments)\n",
    "        lines[i].set_array(z)\n",
    "        lines[i].set_color(cmap(z[-1] * 2.5 + 0.5))\n",
    "\n",
    "    # counter to check the current mesh line\n",
    "    counter = 0\n",
    "    \n",
    "    # for each day...\n",
    "    for j in range(current_slice.shape[0]):\n",
    "\n",
    "        if j % 1 == 0:\n",
    "                        \n",
    "            # get the coordinates\n",
    "            x = np.tile(j, current_slice.shape[1])\n",
    "            y = np.arange(current_slice.shape[1])\n",
    "            z = np.array(current_slice[j, :])\n",
    "\n",
    "            # crete points and segments to color\n",
    "            points = np.array([x, y, z]).T.reshape(-1, 1, 3)\n",
    "            segments = np.concatenate([points[:-1], points[1:]], axis=1)\n",
    "\n",
    "            # Set the values used for colormapping\n",
    "            norm = plt.Normalize(-0.22, 0.22)        \n",
    "            mesh_lines[counter].set_segments(segments)\n",
    "            mesh_lines[counter].set_array(z)\n",
    "            counter += 1\n",
    "        \n",
    "    # update the ticks and labels\n",
    "    ax.set_xticklabels([dates[int(val)+num].strftime('%m/%y') for val in ax.get_xticks()[:-1]] + [''], rotation=0, fontdict={'verticalalignment': 'top', 'horizontalalignment': 'center'})\n",
    "    ax.legend(loc='center right', bbox_to_anchor=(1.1, 0.46), fancybox=True, facecolor=(.95,.95,.95,1), framealpha=1, shadow=False, frameon=True, ncol=1, columnspacing=0, prop={'family': 'DejaVu Sans Mono'})\n",
    "    \n",
    "    # return the lines\n",
    "    return lines\n",
    "\n",
    "def init_mesh_lines_3D():\n",
    "    for line in lines:\n",
    "        line.set_array([])\n",
    "    return lines"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create the animation\n",
    "line_ani = animation.FuncAnimation(fig=fig, \n",
    "                                   func=update_mesh_lines_3D, \n",
    "                                   # frames=30,\n",
    "                                   frames=indexes_rolling.shape[0]-int(261/2),\n",
    "                                   init_func=init_mesh_lines_3D, \n",
    "                                   fargs=(indexes_rolling.values, indexes_rolling.columns, indexes_rolling.index, cmap, lines, mesh_lines, ax),\n",
    "                                   interval=100, \n",
    "                                   blit=True)\n",
    "\n",
    "# show the animation\n",
    "line_ani"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # callback to show the evolution\n",
    "# progress_callback = lambda i, n: print('Saving frame {:.0%}'.format(i/n)) if int((i/n) * 100) % 10 == 0 else None\n",
    "\n",
    "# # save the animation\n",
    "# line_ani.save('./3D_mesh_animation.gif', writer='imagemagick', fps=14, dpi=80, codec='h264', bitrate=2048, progress_callback=progress_callback)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "phoenix",
   "language": "python",
   "name": "phoenix"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}