550 lines
5.9 MiB
Plaintext
550 lines
5.9 MiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 162,
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"id": "e61f2a4e",
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"metadata": {},
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"outputs": [],
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"source": [
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"import numpy as np\n",
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"import pandas as pd\n",
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"import matplotlib.pyplot as plt\n",
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"import country_converter as coco\n",
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"import warnings"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 184,
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"id": "8e5b5b18",
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"metadata": {},
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"outputs": [],
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"source": [
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"cc = coco.CountryConverter()\n",
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"historical= pd.read_csv(\"../resources/validation-test/historical_cross_border_flows.csv\", index_col=0, parse_dates=True)\n",
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"\n",
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"all_country = sorted(list(set([link[:2] for link in historical.columns[1:]] + [link[5:] for link in historical.columns[1:]])))\n",
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"\n",
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"color_country = {\n",
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" 'AL': '#440154',\n",
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" 'AT': '#482677',\n",
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" 'BA': '#43398e',\n",
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" 'BE': '#3953a4',\n",
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" 'BG': '#2c728e',\n",
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" 'CH': '#228b8d',\n",
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" 'CZ': '#1f9d8a',\n",
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" 'DE': '#29af7f',\n",
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" 'DK': '#3fbc73',\n",
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" 'EE': '#5ec962',\n",
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" 'ES': '#84d44b',\n",
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" 'FI': '#addc30',\n",
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" 'FR': '#d8e219',\n",
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" 'GB': '#fde725',\n",
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" 'GR': '#f0f921',\n",
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" 'HR': '#f1c25e',\n",
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" 'HU': '#f4a784',\n",
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" 'IE': '#f78f98',\n",
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" 'IT': '#f87ea0',\n",
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" 'LT': '#f87a9a',\n",
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" 'LU': '#f57694',\n",
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" 'LV': '#f3758d',\n",
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" 'ME': '#f37685',\n",
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" 'MK': '#f37b7c',\n",
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" 'NL': '#f28774',\n",
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" 'NO': '#f1976b',\n",
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" 'PL': '#efaa63',\n",
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" 'PT': '#ebb160',\n",
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" 'RO': '#e6c260',\n",
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" 'RS': '#e2d75e',\n",
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" 'SE': '#dedc5b',\n",
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" 'SI': '#d9e35a',\n",
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" 'SK': '#d3e75a'\n",
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"}"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 279,
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"id": "66fd3180",
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"metadata": {},
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"outputs": [],
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"source": [
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"def sort_one_country(country):\n",
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" \n",
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" \n",
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" indices = [link for link in historical.columns[1:] if country in link]\n",
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" df_hist = historical[indices].copy()\n",
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" for link in df_hist.columns:\n",
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" if country in link[5:]:\n",
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" df_hist[link] = - df_hist[link]\n",
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" link_reverse = str(link[5:] + ' - ' + link[:2])\n",
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" df_hist = df_hist.rename(columns={link:link_reverse})\n",
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" \n",
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" return df_hist\n",
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"\n",
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"def cross_border_time_series(country):\n",
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" warnings.filterwarnings('ignore')\n",
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" \n",
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" df = sort_one_country(country)\n",
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" df_neg, df_pos = df.clip(upper=0), df.clip(lower=0)\n",
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" \n",
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" fig, ax = plt.subplots(figsize=(15,5))\n",
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" \n",
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" color = [color_country[link[5:]] for link in df.columns]\n",
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" \n",
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" df_pos.plot.area(ax=ax, stacked=True, linewidth=0., color=color)\n",
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" # stacked area plot of negative values, prepend column names with '_' such that they don't appear in the legend\n",
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" df_neg.rename(columns=lambda x: '_' + x).plot.area(ax=ax, stacked=True, linewidth=0., color=color)\n",
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" # rescale the y axis\n",
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" ax.set_ylim([df_neg.sum(axis=1).min(), df_pos.sum(axis=1).max()])\n",
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" \n",
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" plt.title('Import / Export for ' + cc.convert(country, to='name_short'))\n",
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" \n",
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" # Custom legend elements\n",
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" legend_elements = []\n",
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" \n",
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" for link in df.columns:\n",
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" legend_elements = legend_elements + [plt.fill_between([], [], color=color_country[link[5:]], label=cc.convert(link[5:], to='name_short'))]\n",
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"\n",
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" # Create the legend\n",
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" plt.legend(handles=legend_elements, loc='upper right')\n",
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" \n",
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" warnings.filterwarnings('default')\n",
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" \n",
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"def cross_border_bar():\n",
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" \n",
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" df_positive = pd.DataFrame()\n",
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" df_negative = pd.DataFrame()\n",
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" color = []\n",
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" \n",
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" for country in all_country:\n",
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" df = sort_one_country(country)\n",
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" df_neg, df_pos = df.clip(upper=0), df.clip(lower=0)\n",
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" \n",
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" color = color + [color_country[link[5:]] for link in df.columns]\n",
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" \n",
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" df_positive = pd.concat([df_positive,pd.DataFrame(data=df_pos.sum()).T.rename({0:cc.convert(country, to='name_short')})])\n",
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" df_negative = pd.concat([df_negative,pd.DataFrame(data=df_neg.sum()).T.rename({0:cc.convert(country, to='name_short')})])\n",
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" \n",
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" #pd.DataFrame(data=df_pos.sum()).T.plot.barh(ax=ax, stacked=True, color=color)\n",
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" #pd.DataFrame(data=df_neg.sum()).T.plot.barh(ax=ax, stacked=True, color=color)\n",
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" #plt.title('Import / Export for ' + cc.convert(country, to='name_short'))\n",
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" \n",
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" fig, ax = plt.subplots(figsize=(15,30))\n",
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" \n",
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" \n",
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" df_positive.plot.barh(ax=ax, stacked=True, color=color)\n",
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" df_negative.plot.barh(ax=ax, stacked=True, color=color)\n",
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" plt.grid(axis='x', zorder=0)\n",
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" \n",
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" # Custom legend elements\n",
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" legend_elements = []\n",
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" \n",
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" for country in list(color_country.keys()):\n",
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" legend_elements = legend_elements + [plt.fill_between([], [], color=color_country[country], label=cc.convert(country, to='name_short'))]\n",
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"\n",
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" # Create the legend\n",
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" plt.legend(handles=legend_elements, loc='upper right')\n",
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"\n",
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" # Show the plot\n",
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" plt.show()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 270,
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"id": "b9684a69",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": "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"text/plain": [
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"<Figure size 1500x3000 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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}
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],
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"source": [
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"cross_border_bar()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 280,
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"id": "f8d67c3d",
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"metadata": {
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"scrolled": false
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},
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"outputs": [
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||
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{
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"data": {
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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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{
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"data": {
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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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||
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAABNcAAAHxCAYAAABOJlqoAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd5wU9f3/X7O71zmOXlQUFFTsWGOJwRZi/SEp38TEhFhjDTGW2CL2aDSxRZMYFUvUJPYYoxGxg4oggooIyFHvuMLt3W2bmU/5/TFbZnan72w5+DwfD/R2dspnZ3dmPp/X5/V+vyXOOYdAIBAIBAKBQCAQCAQCgUAg8Eyo0g0QCAQCgUAgEAgEAoFAIBAIBipCXBMIBAKBQCAQCAQCgUAgEAh8IsQ1gUAgEAgEAoFAIBAIBAKBwCdCXBMIBAKBQCAQCAQCgUAgEAh8IsQ1gUAgEAgEAoFAIBAIBAKBwCdCXBMIBAKBQCAQCAQCgUAgEAh8IsQ1gUAgEAgEAoFAIBAIBAKBwCdCXBMIBAKBQCAQCAQCgUAgEAh8IsQ1gUAgEAgEAoFAIBAIBAKBwCdCXBMIBAKBQBAoc+bMgSRJ+PjjjyvdFN88+eSTuOuuuzxv99JLLyESiaCzs9NynfHjx0OSJNN/U6dO9d/oMnHLLbfghRdecL1+a2srTjzxRAwbNgySJGHWrFklaxtQeH7r6+sxceJEXHLJJejq6vK1z7feeguSJOGtt97ytb0kSZg9e7avbQUCgUAgEFQ/kUo3QCAQCAQCgaDaePLJJ/HZZ595FoKeffZZHHnkkRg5cqTteocffjjuuOOOguWDBw/2dLxKcMstt+B73/sepk+f7mr9X/3qV/jwww/x8MMPY8yYMRg7dmxpGwjj+U0mk/j4448xe/ZsvPPOOxURfRcsWIAddtih7McVCAQCgUBQHoS4JhAIBAKBQJAmkUigsbHR17aqquKll17CTTfd5LjukCFD8I1vfMPXcSpFMplEQ0OD5+0+++wzHHzwwa7FOCcopSCEoK6uznKd/PN71FFHob+/HzfeeCO++uor7LrrroG0xS0D7bsWCAQCgUDgDREWKhAIBAKBoOTMnDkTgwYNwpdffolp06ahqakJY8eOxe9+9zsAwAcffIAjjjgCTU1N2HXXXfHoo48ats+Emr7++uv4+c9/jmHDhqGpqQknn3wyvv7664LjPfzww9h3331RX1+PYcOG4dRTT8Xy5ctN27Rs2TJ8+9vfRnNzM4455hhMnToV//nPf7B27VpDeKETb7zxBnp7e3HqqacWcaY0UqkUpkyZgokTJ6K3tze7vL29HWPGjMHUqVNBKTV8js8//xzHHHMMmpqaMHLkSFx44YVIJBIF+73yyisxYcIE1NbWYvvtt8cFF1yAaDRqWG/8+PE46aST8Nxzz2HKlCmor6/H9ddfD0mSEI/H8eijjzqGsmZCKVetWoX//ve/2fVbW1sBAOvWrcNPfvITjBo1CnV1dZg8eTLuvPNOMMay+2htbYUkSbj99ttx0003YcKECairq8Obb77p+Zy2tLQAAGpqagzLP/74Y5xyyikYNmwY6uvrMWXKFPzzn/90tc8HH3wQu+66K+rq6rDHHnvgySefxMyZMzF+/HjDevlhobNnzzb9TWV+55lzBOS+i5dffhlTpkxBQ0MDJk+ejJdffjm7zeTJk9HU1ISDDz54QIdjCwQCgUAwUBHONYFAIBAIBGVBVVXMmDEDv/jFL3DZZZfhySefxJVXXom+vj48++yzuOKKK7DDDjvg3nvvxcyZM7HXXnvhgAMOMOzjzDPPxHHHHYcnn3wS69evxzXXXIOpU6di6dKlGDJkCADg1ltvxVVXXYUf/ehHuPXWW9Hd3Y3Zs2fj0EMPxcKFCzFp0qTs/hRFwSmnnIJzzz0Xv/nNb0AIwQ477IBzzjkHq1evxvPPP+/68z377LM49NBDsd122zmuyzkHIaRgeTgczuYJ++c//4kDDjgAZ5xxBp599lkwxvDjH/8YnHM89dRTCIfDhnN7wgknZD/H/PnzcdNNN2Ht2rX497//nT3m9OnT8cYbb+DKK6/EN7/5TSxduhTXXXcdFixYgAULFhjcYIsXL8by5ctxzTXXYMKECWhqasL06dNx9NFH46ijjsK1114LwDqUdf/998eCBQtw6qmnYpdddsmGaY4dOxadnZ047LDDoCgKbrzxRowfPx4vv/wyLr30UqxevRr333+/YV/33HMPdt11V9xxxx0YPHiw4Tt0Or+pVAoLFy7EXXfdhcMPPxwTJkzIrvfmm2/iO9/5Dg455BD8+c9/RktLC55++mn83//9HxKJBGbOnGl5jL/+9a8499xz8d3vfhd//OMf0dvbi+uvvx6yLNu2zQ+ffvoprrzySlx99dVoaWnB9ddfjxkzZuDKK6/EG2+8gVtuuQWSJOGKK67ASSedhDVr1vhyGQoEAoFAIPAJFwgEAoFAIAiQRx55hAPgCxcuzC772c9+xgHwZ599NrtMVVU+cuRIDoAvXrw4u7y7u5uHw2F+ySWXFOzz1FNPNRzr/fff5wD4TTfdxDnnvKenhzc0NPATTjjBsN66det4XV0dP+200wra9PDDDxd8hhNPPJHvtNNOrj8zIYSPGDGC33nnnY7r7rTTThyA6b8bb7zRsO4//vEPDoDfdddd/Le//S0PhUL8f//7n2GdzOe4++67DctvvvlmDoC/9957nHPOX331VQ6A33777abH+Otf/2poYzgc5itWrChof1NTE//Zz37m+Dn1+zrxxBMNy37zm99wAPzDDz80LD/vvPO4JEnZ465Zs4YD4LvssgtXFMX18czO7cEHH8zb2toM6+6+++58ypQpXFVVw/KTTjqJjx07llNKOeecv/nmmxwAf/PNNznnnFNK+ZgxY/ghhxxi2G7t2rW8pqam4LcDgF933XXZ19dddx0364Znfudr1qwxfJ6Ghga+YcOG7LIlS5ZwAHzs2LE8Ho9nl7/wwgscAH/ppZccz5NAIBAIBILgEGGhAoFAIBAIyoIkSTjhhBOyryORCCZOnIixY8diypQp2eXDhg3DqFGjsHbt2oJ9/PjHPza8Puyww7DTTjtlwwQXLFiAZDJZ4DgaN24cjj76aLzxxhsF+/zud79bzMcCALz99tvo6urCjBkzXK1/xBFHYOHChQX/zjzzTMN6P/jBD3Deeefhsssuw0033YSrrroKxx13nOk+88/NaaedBgDZczNv3jwAKDg33//+99HU1FRwbvbZZ5+S5SabN28e9thjDxx88MGG5TNnzgTnPNvWDKecckpBOKcd+vP7/vvv46GHHkJnZyeOPvrobMXQVatW4csvv8yeN0JI9t8JJ5yAtrY2rFixwnT/K1asQHt7O37wgx8Ylu+44444/PDDXbfTLfvttx+233777OvJkycDAKZOnWrIEZhZbnbtCAQCgUAgKB0iLFQgEAgEAkFZaGxsRH19vWFZbW0thg0bVrBubW0tUqlUwfIxY8aYLuvu7gaA7P/NKlJut912eP311wvaFESFzmeeeQYHHHBAQa4tK1paWnDggQe6WveMM87AAw88gNraWlx88cWm60QiEQwfPtywLHOu9OcmEokUVDKVJMlwDjOUsqpnd3e36bnKhNQW25b883vYYYdhjz32wKGHHoo777wTt956KzZv3gwAuPTSS3HppZea7icjxJm1HwBGjx5d8N7o0aOxZs0aT+11Iv8aqa2ttV1udu0IBAKBQCAoHUJcEwgEAoFAMGBob283XTZx4kQAyApMbW1tBett2rQJI0aMMCxzU6jACcYYnn/+eUvhqxji8ThOP/107Lrrrti8eTPOOussvPjiiwXrEULQ3d1tENgy5yqzbPjw4SCEoLOz0yCwcc7R3t6Ogw46yLDPIM6NFcOHD7f8jgCU5HvaZ599AGj5y/THuPLKKy0dh7vttpvp8sw5zQh0esx+o/lkRGZZlg157qzEPIFAIBAIBNWNCAsVCAQCgUAwYPj73/9ueD1//nysXbs2W7Hy0EMPRUNDA5544gnDehs2bMC8efNwzDHHuDpOXV0
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"text/plain": [
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||
|
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"<Figure size 1500x500 with 1 Axes>"
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]
|
||
|
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},
|
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"metadata": {},
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||
|
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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|
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"text/plain": [
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||
|
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"<Figure size 1500x500 with 1 Axes>"
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||
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]
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},
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"metadata": {},
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||
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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||
|
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": "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"text/plain": [
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||
|
|
"<Figure size 1500x500 with 1 Axes>"
|
||
|
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]
|
||
|
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},
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"metadata": {},
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||
|
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAABNcAAAHxCAYAAABOJlqoAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOy9ebwkVXn//+n9LnNnhmEbEAQSRY1g4tcV9BcxiIlrFJdEjJFEY9SYvNCviVFjxITINxjURKPGFVRQCbghimyC4MAwMCwzzDD7PvfO3Zdeajvn/P6orupaTm3dVdU9c5/368WLud3VVaerq06d8zmf53kKQggBgiAIgiAIgiAIgiAIgiASU+x3AwiCIAiCIAiCIAiCIAjiaIXENYIgCIIgCIIgCIIgCILoEhLXCIIgCIIgCIIgCIIgCKJLSFwjCIIgCIIgCIIgCIIgiC4hcY0gCIIgCIIgCIIgCIIguoTENYIgCIIgCIIgCIIgCILoEhLXCIIgCIIgCIIgCIIgCKJLSFwjCIIgCIIgCIIgCIIgiC4hcY0gCIIgCIIgCIIgCIIguoTENYIgCIIgMuWaa65BoVDAQw891O+mdM3111+Pz3/+84k/99Of/hTlchlTU1OB25x55pkoFArS/y644ILuG50Tn/70p/HjH/849vZ79+7Fa17zGqxZswaFQgGXXXZZZm0D0j2/3V4H3WDdN3v37s3leARBEARBdE+53w0gCIIgCIIYdK6//nps3rw5sRB000034fd///dx4oknhm73kpe8BP/xH//he33lypWJjtcPPv3pT+PNb34z3vCGN8Ta/oMf/CDWr1+Pb37zm1i7di1OOeWUbBuI9M5vt9dBN7zmNa/B/fffn8v5IQiCIAiiN0hcIwiCIAiCCKDZbGJkZKSrz+q6jp/+9Ke44oorIrddvXo1XvziF3d1nH7RarUwPDyc+HObN2/GC1/4wthiXBSMMRiGgVqtFrjN0Xh+TzzxxEhRliAIgiCIwYDCQgmCIAiCyJ1LL70UK1aswJNPPok//MM/xOjoKE455RT8v//3/wAADzzwAF760pdidHQUZ599Nq699lrX562Qudtvvx1/8Rd/gTVr1mB0dBSve93rsHv3bt/xvvnNb+J3f/d3MTQ0hDVr1uCNb3wjtm7dKm3Tpk2b8MpXvhJjY2O48MILccEFF+CWW27Bvn37XCGFUdx5551YWFjAG9/4xh7OlImiKHjuc5+Lpz3taVhYWLBfn5iYwNq1a3HBBReAMeb6Hk888QQuvPBCjI6O4sQTT8QHPvABNJtN334/+tGP4qyzzkK1WsVTnvIU/M3f/A3m5+dd25155pl47Wtfix/+8Id47nOfi6GhIXzqU59CoVBAo9HAtddeGxlqeffdd6NQKGDnzp34xS9+YW9vhT3u378ff/Znf4aTTjoJtVoNz3rWs3D11VeDc27vY+/evSgUCrjqqqtwxRVX4KyzzkKtVsOvfvWrns/x1NQU3vOe9+D0009HrVbDiSeeiJe85CW44447ACDyOpidncX73/9+POUpT0G1WsVv/dZv4eMf/zhUVXUdp1Ao4AMf+AC+853v4FnPehZGRkbwu7/7u/jZz37m2k4WFnr77bfjj//4j3HaaadhaGgIT3va0/DXf/3XmJ6e7vn7EwRBEATRPeRcIwiCIAiiL+i6josvvhjvfe978fd///e4/vrr8dGPfhSLi4u46aab8JGPfASnnXYavvCFL+DSSy/FOeecg+c973mufbzrXe/CRRddhOuvvx4HDhzAP/3TP+GCCy7A448/jtWrVwMArrzySnzsYx/D2972Nlx55ZWYmZnB5ZdfjvPOOw8bNmzA05/+dHt/mqbh9a9/Pf76r/8a//iP/wjDMHDaaafhPe95D3bt2oUf/ehHsb/fTTfdhPPOOw+nnnpq5LZCCBiG4Xu9VCqhUChgaGgIN9xwA573vOfhL//yL3HTTTeBc463v/3tEELge9/7HkqlkuvcvvrVr7a/x7p163DFFVdg3759uPnmm+1jvuENb8Cdd96Jj370o/j//r//D48//jg++clP4v7778f999/vcoNt3LgRW7duxT/90z/hrLPOwujoKN7whjfgD/7gD/Dyl78cn/jEJwAEh1r+n//zf3D//ffjjW98I377t3/bDtM85ZRTMDU1hfPPPx+apuFf//VfceaZZ+JnP/sZPvzhD2PXrl340pe+5NrXf/3Xf+Hss8/Gf/zHf2DlypWu37Cb8wsA73jHO7Bx40b827/9G84++2zMz89j48aNmJmZAQB86UtfCrwOFEXBy1/+cuzatQuf+tSn8JznPAf33nsvrrzySjz66KO45ZZbXNvfcsst2LBhA/7lX/4FK1aswFVXXYU3vvGN2LZtG37rt34r8Hvs2rUL5513Ht797ndj1apV2Lt3Lz772c/ipS99KTZt2oRKpRJ6HgiCIAiCyAhBEARBEASRId/61rcEALFhwwb7tXe+850CgLjpppvs13RdFyeeeKIAIDZu3Gi/PjMzI0qlkvjQhz7k2+cb3/hG17F+85vfCADiiiuuEEIIMTc3J4aHh8WrX/1q13b79+8XtVpNXHLJJb42ffOb3/R9h9e85jXijDPOiP2dDcMQJ5xwgrj66qsjtz3jjDMEAOl///qv/+ra9gc/+IEAID7/+c+Lf/7nfxbFYlHcdtttrm2s7/Gf//mfrtf/7d/+TQAQ9913nxBCiFtvvVUAEFdddZX0GF/96lddbSyVSmLbtm2+9o+Ojop3vvOdkd/Tua/XvOY1rtf+8R//UQAQ69evd73+vve9TxQKBfu4e/bsEQDEb//2bwtN02IfL875XbFihbjssstC9xV0HXzlK18RAMQNN9zgev3f//3fBQDXbwRAnHzyyWJxcdF+bWJiQhSLRXHllVfar1nX+J49e6Rt4ZwLXdfFvn37BADxk5/8JLTtBEEQBEFkB4WFEgRBEATRFwqFAl796lfbf5fLZTztaU/DKaecguc+97n262vWrMFJJ52Effv2+fbx9re/3fX3+eefjzPOOMMOE7z//vvRarVw6aWXurY7/fTT8Qd/8Ae48847fft805ve1MvXAgDcc889mJ6exsUXXxxr+5e+9KXYsGGD7793vetdru3e+ta34n3vex/+/u//HldccQU+9rGP4aKLLpLu03tuLrnkEgCwz81dd90FAL5z85a3vAWjo6O+c/Oc5zwHZ599dqzvk5S77roLv/M7v4MXvvCFrtcvvfRSCCHstlq8/vWvT+TSinN+X/jCF+Kaa67BFVdcgQceeAC6ridq/+joKN785jf72g/Ady5f/vKXY2xszP775JNPDrzGnUxOTuK9730vTj/9dJTLZVQqFZxxxhkA4AtzJgiCIAgiPygslCAIgiCIvjAyMoKhoSHXa9VqFWvWrPFtW61WoSiK7/W1a9dKX7NC+az/yyounnrqqbj99tt9bUqjQueNN96I5z3veTjzzDNjbb9q1So8//nPj7XtX/7lX+LLX/4yqtUq/u7v/k66TblcxvHHH+96zTpXznNTLpd9SfMLhYLrHFpkWbVyZmZGeq6skNpe2xLn/P7gBz/AFVdcga9//ev4xCc+gRUrVuCNb3wjrrrqKul15m3/2rVrfbn4TjrpJJTLZV/7vb8NANRqNbRarcBjcM7xyle+EocPH8YnPvEJnHvuuRgdHQXnHC9+8YtDP0sQBEEQRLaQc40gCIIgiKOWiYkJ6WuWeGH9f3x83Lfd4cOHccIJJ7hei1OoIArOOX70ox+l4oDz0mg08I53vANnn302hoeH8e53v1u6nWEYPkHHOlfOc2MYBqamplzbCSEwMTGRybkJ4vjjjw/8jQDk0pYTTjgBn//857F3717s27cPV155JX74wx/6nH0yjj/+eBw5cgRCCNfrk5OTMAzD1/5u2Lx5Mx577DF85jOfwd/+7d/iggsuwAte8AKpUEcQBEEQRL6QuEYQBEEQxFHLdddd5/p73bp12Ldvn12x8rzzzsPw8DC++93vurY7ePAg7rrrLlx44YWxjhPlKvK2YWJiIhNx7b3vfS/279+
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||
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"text/plain": [
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|
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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||
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": "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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
|
||
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]
|
||
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},
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"metadata": {},
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||
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": "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"text/plain": [
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||
|
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"<Figure size 1500x500 with 1 Axes>"
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||
|
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]
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||
|
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},
|
||
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"metadata": {},
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||
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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||
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": "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|
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"text/plain": [
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||
|
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"<Figure size 1500x500 with 1 Axes>"
|
||
|
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]
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||
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},
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"metadata": {},
|
||
|
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"output_type": "display_data"
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||
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},
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{
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"data": {
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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAABM4AAAHxCAYAAACVnfCKAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAA9hAAAPYQGoP6dpAAD4wElEQVR4nOy9ebwlVXnu/6y9z9Cnm54buhlaGwEHBCMCcnECREBF/SE3GoISO1GMggNB1IDJFQ2C1+AQMZqYoDgRNaLG6DUBEYkKKqIoKOLIZHfL1HTT4xn2+v2xh1NVu4a1qtaqtVbt5/v59KfP2WfvqtpVq9bw1PO+r5BSShBCCCGEEEIIIYQQQmK0XB8AIYQQQgghhBBCCCE+QuGMEEIIIYQQQgghhJAUKJwRQgghhBBCCCGEEJIChTNCCCGEEEIIIYQQQlKgcEYIIYQQQgghhBBCSAoUzgghhBBCCCGEEEIISYHCGSGEEEIIIYQQQgghKVA4I4QQQgghhBBCCCEkBQpnhBBCCCGEEEIIIYSkQOGMEEIIIZW54oorIITAD3/4Q9eHUporr7wSH/jAB7Q/95WvfAVjY2O4//77M9+zbt06CCFS/x177LHlD7omLr74Ynz5y19Wfv+dd96Jk08+GStWrIAQAuecc461YwO65/cFL3iB0W1+61vfghAC3/rWt4xuV5V169Zh/fr1TvZNCCGEkHnGXB8AIYQQQogPXHnllbjtttu0RZ6rrroKz3rWs7Dnnnvmvu/pT386Lr300qHXlyxZorU/F1x88cX44z/+Y5xyyilK7/+rv/orfP/738fHPvYxrFmzBnvvvbfdAySEEEIIsQSFM0IIIYSMNDt27MDChQtLfXZmZgZf+cpXcNFFFxW+d9myZfhf/+t/ldqPK3bu3ImpqSntz91222146lOfqiy0FTE3N4fZ2VlMTk463QYhhBBCRg+GahJCCCHECuvXr8cee+yBX/ziFzjppJOwaNEi7L333nj3u98NAPje976HZzzjGVi0aBEe+9jH4hOf+ETs8/3wz2uuuQZ//ud/jhUrVmDRokV44QtfiN/+9rdD+/vYxz6GP/qjP8KCBQuwYsUKvPjFL8btt9+eeky33norTjzxRCxevBjHH388jj32WHzta1/DXXfdFQujLOLaa6/Fli1b8OIXv7jCmeqya9cuHHbYYTjwwAOxZcuWweubNm3CmjVrcOyxx2Jubi72PX72s5/h+OOPx6JFi7Dnnnvida97HXbs2DG03fPPPx/7778/JiYmsO++++Lss8/Gww8/HHtfP9zxi1/8Ig477DAsWLAA73jHOyCEwPbt2/GJT3yiMLy0H97461//Gl//+tcH77/zzjsBAHfffTde/vKXY6+99sLk5CSe8IQn4L3vfS86nc5gG3feeSeEEHjPe96Diy66CPvvvz8mJydx3XXXKZ/Lom388Ic/xIte9CKsWLECCxYswGGHHYbPf/7zhdv94Q9/iNNOOw3r1q3D1NQU1q1bhz/90z/FXXfdFXtfv+1ed911eO1rX4tVq1Zh5cqVOPXUU7Fhw4bYe2dmZvCWt7wFa9aswcKFC/GMZzwDP/jBD5S/KyGEEELsQscZIYQQQqwxMzODU089Fa95zWvw5je/GVdeeSXOP/98bN26FVdddRXe+ta3Yr/99sNll12G9evX45BDDsHhhx8e28YrX/lKnHDCCbjyyitxzz334G/+5m9w7LHH4qc//SmWLVsGALjkkktwwQUX4E//9E9xySWX4MEHH8SFF16Io48+GjfddBMOOuigwfamp6fxohe9CH/5l3+Jv/7rv8bs7Cz2228/vPrVr8ZvfvMbfOlLX1L+fldddRWOPvpo7LPPPoXvlVJidnZ26PV2uw0hBBYsWIDPf/7zOPzww/EXf/EXuOqqq9DpdPCyl70MUkr827/9G9rtduzcPv/5zx98jxtuuAEXXXQR7rrrLvznf/7nYJ+nnHIKrr32Wpx//vl45jOfiZ/+9Kd4+9vfjhtvvBE33nhjzIH1ox/9CLfffjv+5m/+Bvvvvz8WLVqEU045Bc9+9rNx3HHH4W//9m8BZIeXPuUpT8GNN96IF7/4xTjggAMGoal777037r//fjztaU/D9PQ0/u7v/g7r1q3DV7/6VZx33nn4zW9+gw9/+MOxbX3wgx/EYx/7WFx66aVYsmRJ7BqqkraN6667Ds997nNx1FFH4Z/+6Z+wdOlSfPazn8Wf/MmfYMeOHbl5xe6880487nGPw2mnnYYVK1Zg48aN+MhHPoIjjzwSP//5z7Fq1arY+1/1qlfh5JNPHrTdN7/5zXj5y1+Ob37zm4P3nHnmmfjkJz+J8847DyeccAJuu+02nHrqqXjkkUe0vy8hhBBCLCAJIYQQQiry8Y9/XAKQN9100+C1V7ziFRKAvOqqqwavzczMyD333FMCkD/60Y8Grz/44IOy3W7Lc889d2ibL37xi2P7+u53vysByIsuukhKKeXmzZvl1NSUfP7znx9739133y0nJyfl6aefPnRMH/vYx4a+w8knnywf/ehHK3/n2dlZuWrVKvne97638L2PfvSjJYDUf3/3d38Xe+/nPvc5CUB+4AMfkP/n//wf2Wq15NVXXx17T/97/MM//EPs9Xe9610SgPzOd74jpZTyv/7rvyQA+Z73vCd1Hx/96Edjx9hut+Udd9wxdPyLFi2Sr3jFKwq/Z3RbJ598cuy1v/7rv5YA5Pe///3Y66997WulEGKw39/97ncSgDzggAPk9PR0qf3lbePxj3+8POyww+TMzEzs9Re84AVy7733lnNzc1JKKa+77joJQF533XWZ+52dnZXbtm2TixYtil2Lfts966yzYu9/z3veIwHIjRs3SimlvP322yUA+Vd/9Vex933mM5+RALTOOSGEEELswFBNQgghhFhDCIHnP//5g9/HxsZw4IEHYu+998Zhhx02eH3FihXYa6+9hkLeAOBlL3tZ7PenPe1pePSjHz0Iu7vxxhuxc+fOIafQ2rVr8exnPxvXXnvt0Db/9//+31W+FgDg+uuvxwMPPIBTTz1V6f3PeMYzcNNNNw39e+UrXxl730tf+lK89rWvxZvf/GZcdNFFuOCCC3DCCSekbjN5bk4//XQAGJybvrMpeW5e8pKXYNGiRUPn5klPehIe+9jHKn0fXb75zW/i4IMPxlOf+tTY6+vXr4eUMubCAoAXvehFGB8fr7TP5DZ+/etf4xe/+MXgvM3Ozg7+Pf/5z8fGjRtxxx13ZG5v27ZteOtb34oDDzwQY2NjGBsbwx577IHt27cPhQX39x/lSU96EgAM2nn/OiWv40tf+lKMjTEwhBBCCPEBjsiEEEIIscbChQuxYMGC2GsTExNYsWLF0HsnJiawa9euodfXrFmT+tqDDz4IAIP/0yo37rPPPrjmmmuGjslEJcsvfOELOPzww7Fu3Tql9y9duhRHHHGE0nv/4i/+Ah/5yEcwMTGBN7zhDanvGRsbw8qVK2Ov9c9V9NyMjY0NVfwUQsTOYR+b1S8ffPDB1HPVD3O1cSzJbfzhD38AAJx33nk477zzUj/zwAMPZG7v9NNPx7XXXou//du/xZFHHoklS5YMxOGdO3cOvT95ffphsf339r9zso2nXVtCCCGEuIHCGSGEEEK8ZtOmTamvHXjggQDmxYmNGzcOvW/Dhg1DeadUkv4X0el08KUvfSlT1KrC9u3bccYZZ+Cxj30s/vCHP+BVr3oV/uM//mPofbOzs3jwwQdjAkv/XPVfW7lyJWZnZ3H//ffHxDMpJTZt2oQjjzwytk0T5yaLlStXZl4jAFauU3Ib/X2cf/75mU7Bxz3ucamvb9myBV/96lfx9re/HX/91389eH337t146KGHSh1f/zpt2rQJ++677+D1/rUlhBBCiHsYqkkIIYQQr/nMZz4T+/2GG27AXXfdNajsePTRR2Nqagqf/vSnY++799578c1vfhPHH3+80n4mJydTXUNp3HDDDdi0aZORkM8kr3nNa3D33Xfji1/8Ii6//HJ85Stfwfvf//7U9ybPzZVXXgkAg3PT/+7Jc3PVVVdh+/btVs5
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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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|
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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||
|
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAABNcAAAHxCAYAAABOJlqoAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOy9edgkVX09fqqXd52NYQaGfRFBQZTFYBCVcSWCK0SjKEqEJGoMcTfqT0FFjIiKxkiMXwQMblFWJRIQHAKyyj6sA7Mv7yzv2mst935+f1RXde11a+vumbnneXiYt7u66nZ11a17zz3ncxQiIkhISEhISEhISEhISEhISEhISEgkRqnfDZCQkJCQkJCQkJCQkJCQkJCQkNhZIck1CQkJCQkJCQkJCQkJCQkJCQmJlJDkmoSEhISEhISEhISEhISEhISEREpIck1CQkJCQkJCQkJCQkJCQkJCQiIlJLkmISEhISEhISEhISEhISEhISGREpJck5CQkJCQkJCQkJCQkJCQkJCQSAlJrklISEhISEhISEhISEhISEhISKSEJNckJCQkJCQkJCQkJCQkJCQkJCRSQpJrEhISEhISEhISEhISEhISEhISKSHJNQkJCQkJCYlMuPLKK6EoCv785z/3uymp8fOf/xyXXnpp4s/deOONqFQq2L59e+g2Bx98MBRFCfxv+fLl6RvdI1x00UW4/vrrhbdfu3YtTjvtNCxevBiKouDjH/94YW0DzPP7lre8JXKbs88+GwcffLDrtbDvtbNczxdccAEURel3MyQkJCQkJCQAVPrdAAkJCQkJCQmJfuPnP/85Vq5cmZgIuuaaa/Ca17wGS5cujdzupJNOwiWXXOJ7fcGCBYmO1w9cdNFF+Ou//mu84x3vENr+E5/4BO677z785Cc/wbJly7DPPvsU20ABfOlLX8I///M/u15L+r0GDeeeey7+6q/+qt/NkJCQkJCQkIAk1yQkJCQkJCR2YzSbTYyNjaX6rK7ruPHGG3HhhRfGbrto0SL85V/+Zarj9AutVgujo6OJP7dy5UqccMIJuZFWjDEYhoHh4eHU+3jBC16QS1sGCfvvvz/233//fjdDQkJCQkJCAtIWKiEhISEhIVEAzj77bMybNw9PP/00TjnlFIyPj2OfffbBv/7rvwIA7r33XrzqVa/C+Pg4Dj/8cFx11VWuz1vWvFtvvRV/+7d/i8WLF2N8fBxvfetbsXr1at/xfvKTn+BlL3sZRkZGsHjxYrzzne/EU089Fdimxx9/HG9605swf/58vP71r8fy5ctx0003Yd26dS7LZhxuu+02zM7O4p3vfGeGM2Wi3W7j2GOPxWGHHYbZ2Vn79YmJCSxbtgzLly8HY8z1PZ544gm8/vWvx/j4OJYuXYqPfexjaDabvv1+/vOfxyGHHIKhoSHst99++Md//EfMzMy4trOslddeey2OPfZYjIyM4Ctf+QoURUGj0cBVV10Va2VdsWIFFEXBc889h9///vf29mvXrgUArF+/Hu9///ux1157YXh4GC9+8Yvx7W9/G5xzex9r166Foii4+OKLceGFF+KQQw7B8PAw/vjHP2Y6v15bqMj3qtVq+MhHPoIlS5Zgzz33xOmnn47Nmze7tlEUBRdccIHveAcffDDOPvts++/t27fjox/9KI488kjMmzcPe+21F173utfhzjvvdH3O+v6XXHIJvvOd7+CQQw7BvHnzcOKJJ+Lee+91bRtkC/3Vr36FN73pTdhnn30wOjqKF7/4xfiXf/kXNBoN8ZMlISEhISEhkRiSXJOQkJCQkJAoBLqu4/TTT8dpp52GG264AW9+85vx+c9/Hl/4whfwwQ9+EB/60Idw3XXX4YgjjsDZZ5+NBx980LePc845B6VSya6Jdv/992P58uUucugb3/gGzjnnHBx11FG49tpr8b3vfQ+PPfYYTjzxRKxatcq1P03T8La3vQ2ve93rcMMNN+ArX/kKfvjDH+Kkk07CsmXLcM8999j/xeGaa67BiSeeiH333Td2WyKCYRi+/4gIADAyMoL//u//xrZt2/ChD30IAMA5x/ve9z4QEX7xi1+gXC67zu2pp56K17/+9bj++uvxsY99DD/60Y/wN3/zN65jvuMd78All1yCs846CzfddBM++clP4qqrrsLrXvc6qKrqauNDDz2Ez3zmMzjvvPNw880344wzzsA999yD0dFRnHrqqfZ5+eEPfxj4HY877jjcc889WLZsGU466SR7+3322Qfbt2/HK1/5Stxyyy342te+hhtvvBFveMMb8OlPfxof+9jHfPv6/ve/j9tvvx2XXHIJfv/73+NFL3pR7DlOApHvde6556JareLnP/85Lr74YqxYsQLvf//7Ux1vamoKAHD++efjpptuwhVXXIFDDz0Uy5cvx4oVK3zb//u//ztuvfVWXHrppfjZz36GRqOBU0891UW8BmHVqlU49dRTcfnll+Pmm2/Gxz/+cfz3f/833vrWt6Zqt4SEhISEhIQgSEJCQkJCQkIiA6644goCQA888ID92gc/+EECQNdcc439mq7rtHTpUgJADz30kP365OQklctl+uQnP+nb5zvf+U7Xsf70pz8RALrwwguJiGh6eppGR0fp1FNPdW23fv16Gh4epjPPPNPXpp/85Ce+73DaaafRQQcdJPydDcOgJUuW0Le//e3YbQ866CACEPjf1772Nde2v/rVrwgAXXrppfTlL3+ZSqUS3XLLLa5trO/xve99z/X617/+dQJAd911FxER3XzzzQSALr744sBj/Od//qerjeVymZ555hlf+8fHx+mDH/xg7Pd07uu0005zvfYv//IvBIDuu+8+1+sf+chHSFEU+7hr1qwhAPSCF7yANE1LfTwvPvjBD/p+37DvZV17H/3oR12vX3zxxQSAtmzZYr8GgM4///zANkWdM8MwSNd1ev3rX++6xq3vf/TRR5NhGPbr999/PwGgX/ziF/Zr559/PkUN5TnnpOs63XHHHQSAHn300dBtJSQkJCQkJLJBKtckJCQkJCQkCoGiKDj11FPtvyuVCg477DDss88+OPbYY+3XFy9ejL322gvr1q3z7eN973uf6+9XvvKVOOigg2yb4D333INWq+Wy4AHAAQccgNe97nW47bbbfPs844wzsnwtAMAdd9yBHTt24PTTTxfa/lWvehUeeOAB33/nnHOOa7t3v/vd+MhHPoLPfOYzuPDCC/GFL3wBb3zjGwP36T03Z555JgDY5+b2228HAN+5ede73oXx8XHfuXnpS1+Kww8/XOj7JMXtt9+OI488EieccILr9bPPPhtEZLfVwtve9jZUq9VC2iKKt73tba6/X/rSlwJA4HUqgv/4j//Acccdh5GREVQqFVSrVdx2220++zIAnHbaaS6louixV69ejTPPPBPLli1DuVxGtVrFySefDACBx5GQkJCQkJDIBzLQQEJCQkJCQqIQjI2NYWRkxPXa0NAQFi9e7Nt2aGgI7Xbb9/qyZcsCX5ucnAQA+/9BiZT77rsvbr31Vl+b8kjo/M1vfoPjjz/eVccrCgsXLsTLX/5yoW0/9KEP4bLLLsPQ0BDOO++8wG0qlQr23HNP12vWuXKem0ql4ksyVRTFdQ4tFJnqOTk5GXiuLEttL9siCu/5tQIVWq1W4n195zvfwac+9Sl8+MMfxte+9jUsWbIE5XIZX/rSlwJJrzTHrtfrePWrX42RkRFceOGFOPzwwzE2NoYNGzbg9NNPT9VuCQkJCQkJCTFIck1CQkJCQkJiYDExMRH42mGHHQagS0Js2bLFt93mzZuxZMkS12siQQVx4JzjuuuuCyW+sqDRaOCss87C4Ycfjq1bt+Lcc8/FDTfc4NvOMAxMTk66SBjrXFmv7bnnnjAMA9u3b3cRbESEiYkJ/MVf/IVrn3mcmzDsueeeob8RgEJ+p15geHjYV7sO8JOFV199NZYvX47LLrvM9XqtVsutLbfffjs2b96MFStW2Go1AL7wCgkJCQkJCYn8IW2hEhISEhISEgOLn/3sZ66/7777bqxbt85OdjzxxBMxOjqKq6++2rXdxo0bcfvtt+P
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||
|
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"text/plain": [
|
||
|
|
"<Figure size 1500x500 with 1 Axes>"
|
||
|
|
]
|
||
|
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},
|
||
|
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"metadata": {},
|
||
|
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"output_type": "display_data"
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||
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},
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{
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"data": {
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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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{
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"data": {
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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": "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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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||
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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|
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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||
|
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": "iVBORw0KGgoAAAANSUhEUgAABNcAAAHxCAYAAABOJlqoAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/NK7nSAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydebwbVd3/P5Pk7i1d6E6Blq3spYJCQQEpm4CIuD1PsVoBF5ClPKII/BAUpKIgKD74sLbIIqLsIGWngKUFCqWFlhba3u53v8nNOss55/dHbnJnkplk1iT39vt+vdDeycyZk2Qyc87nfL7frySEECAIgiAIgiAIgiAIgiAIwjGhaneAIAiCIAiCIAiCIAiCIAYrJK4RBEEQBEEQBEEQBEEQhEtIXCMIgiAIgiAIgiAIgiAIl5C4RhAEQRAEQRAEQRAEQRAuIXGNIAiCIAiCIAiCIAiCIFxC4hpBEARBEARBEARBEARBuITENYIgCIIgCIIgCIIgCIJwCYlrBEEQBEEQBEEQBEEQBOESEtcIgiAIgiAIgiAIgiAIwiUkrhEEQRAEERgLFy6EJEl47733qt0V1zz88MO47bbbHB/39NNPIxKJoLOz03KfKVOmQJIk0/+OP/54952uEDfeeCOefPJJ2/u3trbi9NNPx+jRoyFJEubNmxdY34CBz/cnP/lJ0Wuvv/46JEnCv/71r0D7QBAEQRDE0CdS7Q4QBEEQBEHUMg8//DA++ugjx0LQY489hmOPPRZjx44tud8xxxyDm2++uWj7Lrvs4uh81eDGG2/EN7/5TZx11lm29r/sssuwbNky3HfffZgwYQImTpwYbAf7uffee3HZZZdh2rRpFTkfQRAEQRA7FySuEQRBEARBmJBKpdDc3OzqWFVV8fTTT+OGG24ou+/IkSNx1FFHuTpPtUin02hqanJ83EcffYQvfOELtsW4cjDGoGkaGhoaLPeZOXMmVq9ejauuugqPPfaYL+c1I51Oo7GxEZIkBXYOgiAIgiBqEwoLJQiCIAiiosydOxfDhg3DJ598glNOOQUtLS2YOHEifve73wEAli5dii9+8YtoaWnBfvvth/vvv99wfC7U9KWXXsIPfvADjB49Gi0tLfjqV7+KDRs2FJ3vvvvuw/Tp09HY2IjRo0fj61//OtasWWPap1WrVuHkk0/G8OHDMWvWLBx//PF47rnnsGnTJkPIZjleeeUVxGIxfP3rX/fwSWXJZDKYMWMG9tlnH8Risfz2trY2TJgwAccffzwYY4b38fHHH2PWrFloaWnB2LFjcdFFFyGVShW1e+WVV2Lq1Kmor6/Hbrvthp/+9KeIRqOG/aZMmYIzzjgDjz/+OGbMmIHGxkb8+te/hiRJSCaTuP/++8uGsuZCMD/77DM8//zz+f1bW1sBAJs3b8Z3v/tdjBs3Dg0NDTjggANwyy23gHOeb6O1tRWSJOH3v/89brjhBkydOhUNDQ147bXXSn5+o0ePxi9/+Us8/vjjWLp0adnP+6233sKsWbMwfPhwNDc34+ijj8Zzzz1n2Cd3Db744os499xzMXbsWDQ3N2P16tWQJAn//Oc/8/suX74ckiThoIMOMrRx5pln4vDDD8///Y9//AMnn3wyJk6ciKamJhxwwAH45S9/iWQymd/ngQcegCRJePvtt4v6/Zvf/AZ1dXXYvn172fdIEARBEIS/kLhGEARBEETFUVUVZ599Nk4//XQ89dRT+MpXvoIrr7wSV111Fb7//e/j3HPPxRNPPIFp06Zh7ty5WL58eVEb5513HkKhUD4n2jvvvIPjjz/eIA7Nnz8f5513Hg466CA8/vjj+NOf/oSVK1di5syZ+PTTTw3tKYqCM888EyeccAKeeuop/PrXv8Ydd9yBY445BhMmTMDbb7+d/68cjz32GGbOnIlJkyaV3VcIAU3Tiv4TQgAAGhsb8eijj6KjowPnnnsuAIBzjnPOOQdCCPz9739HOBw2fLannXYaZs2ahSeffBIXXXQR7rzzTnznO98xnPOss87CzTffjDlz5uC5557D//zP/+D+++/HCSecAFmWDX18//338fOf/xyXXHIJFi1ahG984xt4++230dTUhNNOOy3/udxxxx2m7/Fzn/sc3n77bUyYMAHHHHNMfv+JEyeis7MTRx99NF588UVcf/31ePrpp3HiiSfi8ssvx0UXXVTU1p///Ge8+uqruPnmm/H8889j//33L/sZX3rppdhtt93wi1/8ouR+ixcvxgknnIBYLIZ7770Xf//73zF8+HB89atfxT/+8Y+i/c8991zU1dXhgQcewL/+9S/sv//+mDhxIl5++eX8Pi+//DKampqwevXqvPClaRoWL16ME088Mb/fp59+itNOOw333nsvFi1ahHnz5uHRRx/FV7/61fw+3/nOdzBhwgT87//+r6EfmqbhzjvvxNe//nVb1xxBEARBED4jCIIgCIIgAmLBggUCgHj33Xfz277//e8LAOKxxx7Lb1NVVYwdO1YAEO+//35+e3d3twiHw+J//ud/itr8+te/bjjXf/7zHwFA3HDDDUIIIXp7e0VTU5M47bTTDPtt3rxZNDQ0iNmzZxf16b777it6D6effrrYc889bb9nTdPEmDFjxC233FJ23z333FMAMP3v+uuvN+z7j3/8QwAQt912m/jVr34lQqGQePHFFw375N7Hn/70J8P23/72twKAeOutt4QQQixatEgAEL///e9Nz3HXXXcZ+hgOh8XatWuL+t/S0iK+//3vl32f+rZOP/10w7Zf/vKXAoBYtmyZYfsFF1wgJEnKn3fjxo0CgNh7772FoiiOz3f33XcLAOKZZ54RQgjx2muvCQDin//8Z37/o446SowbN07E4/H8Nk3TxMEHHywmT54sOOdCiIFr8Hvf+17ROb/73e+KvfbaK//3iSeeKH74wx+KUaNGifvvv18IMXCtFn5/OTjnQlVVsXjxYgFAfPjhh/nXrr32WlFfXy/a29vz23Lf2+LFi219LgRBEARB+As51wiCIAiCqDiSJOG0007L/x2JRLDPPvtg4sSJmDFjRn776NGjMW7cOGzatKmojXPOOcfw99FHH40999wzHyb49ttvI51OY+7cuYb9dt99d5xwwgl45ZVXitr8xje+4eVtAci6n7q6unD22Wfb2v+LX/wi3n333aL/zjvvPMN+3/72t3HBBRfg5z//OW644QZcddVVOOmkk0zbLPxsZs+eDQD5z+bVV18FgKLP5lvf+hZaWlqKPptDDz0U++23n63345RXX30VBx54IL7whS8Yts+dOxdCiHxfc5x55pmoq6tzfJ4f/OAHOPDAA/HLX/7SEG6aI5lMYtmyZfjmN7+JYcOG5beHw2HMmTMHW7duxdq1aw3HmF0vs2bNwoYNG7Bx40ZkMhm89dZbOPXUU/HlL38ZL730EoCsm62hoQFf/OIX88dt2LABs2fPxoQJExAOh1FXV4fjjjsOAAxhzBdccAEA4O67785v+8tf/oJDDjkExx57rOPPhSAIgiAI75C4RhAEQRBExWlubkZjY6NhW319PUaPHl20b319PTKZTNH2CRMmmG7r7u4GgPz/m1WknDRpUv51fZ/8qND5r3/9C4cffjimTJlia/8RI0bgiCOOKPrPrN/nnnsuVFVFJBLBJZdcYtpeJBLBrrvuatiW+6z0n00kEimqZCpJkuEzzBFkVc/u7m7L7yj3uh99CYfDuPHGG/Hxxx8X5fEDgN7eXgghPPclF+r58ssv46233oKqqjjhhBNw4okn5kXLl19+Gcccc0y+KEQikcCXvvQlLFu2DDfccANef/11vPvuu3j88ccBZIsl5Bg/fjy+853v4M477wRjDCtXrsSbb75pGkJLEARBEERlIHGNIAiCIIhBSVtbm+m2nLCU+/8dO3YU7bd9+3aMGTPGsM2PKo+cczzxxBO+OOAKSSaTmDNnDvbbbz80NTXh/PPPN91P07QiESj3Wek/G03T0NnZadhPCIG2trZAPhsrdt11V8vvCICvffna176GY445Btdee22RYDtq1CiEQiHPfZk8eTL2228/vPzyy3jppZd
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|
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"text/plain": [
|
||
|
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"<Figure size 1500x500 with 1 Axes>"
|
||
|
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]
|
||
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},
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"metadata": {},
|
||
|
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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{
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"data": {
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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": "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|
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"text/plain": [
|
||
|
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"<Figure size 1500x500 with 1 Axes>"
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||
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
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"<Figure size 1500x500 with 1 Axes>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"data": {
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"text/plain": [
|
||
|
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"<Figure size 1500x500 with 1 Axes>"
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||
|
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]
|
||
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},
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"metadata": {},
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||
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"output_type": "display_data"
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},
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{
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"data": {
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"image/png": "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
|
||
|
|
"text/plain": [
|
||
|
|
"<Figure size 1500x500 with 1 Axes>"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
"metadata": {},
|
||
|
|
"output_type": "display_data"
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"source": [
|
||
|
|
"for country in all_country:\n",
|
||
|
|
" cross_border_time_series(country)"
|
||
|
|
]
|
||
|
|
},
|
||
|
|
{
|
||
|
|
"cell_type": "code",
|
||
|
|
"execution_count": null,
|
||
|
|
"id": "b5c36dbd",
|
||
|
|
"metadata": {},
|
||
|
|
"outputs": [],
|
||
|
|
"source": []
|
||
|
|
}
|
||
|
|
],
|
||
|
|
"metadata": {
|
||
|
|
"kernelspec": {
|
||
|
|
"display_name": "Python 3 (ipykernel)",
|
||
|
|
"language": "python",
|
||
|
|
"name": "python3"
|
||
|
|
},
|
||
|
|
"language_info": {
|
||
|
|
"codemirror_mode": {
|
||
|
|
"name": "ipython",
|
||
|
|
"version": 3
|
||
|
|
},
|
||
|
|
"file_extension": ".py",
|
||
|
|
"mimetype": "text/x-python",
|
||
|
|
"name": "python",
|
||
|
|
"nbconvert_exporter": "python",
|
||
|
|
"pygments_lexer": "ipython3",
|
||
|
|
"version": "3.10.9"
|
||
|
|
}
|
||
|
|
},
|
||
|
|
"nbformat": 4,
|
||
|
|
"nbformat_minor": 5
|
||
|
|
}
|