diff --git a/plot.ipynb b/plot.ipynb index ab9c6f1..4fe6f4d 100644 --- a/plot.ipynb +++ b/plot.ipynb @@ -1083,7 +1083,275 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Plot of the Keywords" + "# Types of Processes" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
categorycount
0material244
1relational52
2verbal23
3behavioral17
4mental9
5existential3
\n", + "
" + ], + "text/plain": [ + " category count\n", + "0 material 244\n", + "1 relational 52\n", + "2 verbal 23\n", + "3 behavioral 17\n", + "4 mental 9\n", + "5 existential 3" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "df = pd.DataFrame({\n", + " 'category': [\n", + " 'material',\n", + " 'relational',\n", + " 'verbal',\n", + " 'behavioral',\n", + " 'mental',\n", + " 'existential',\n", + " ],\n", + " 'count': [\n", + " 244,\n", + " 52,\n", + " 23,\n", + " 17,\n", + " 9,\n", + " 3,\n", + " ]\n", + "})\n", + "\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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categorycount
0emissions71
1litter14
2general\\nsustainability12
3shipbreaking2
4materials1
\n", + "
" + ], + "text/plain": [ + " category count\n", + "0 emissions 71\n", + "1 litter 14\n", + "2 general\\nsustainability 12\n", + "3 shipbreaking 2\n", + "4 materials 1" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = pd.DataFrame({\n", + " 'category': [\n", + " 'emissions',\n", + " 'litter',\n", + " 'general\\nsustainability',\n", + " 'shipbreaking',\n", + " 'materials',\n", + " ],\n", + " 'count': [\n", + " 71,\n", + " 14,\n", + " 12,\n", + " 2,\n", + " 1,\n", + " ]\n", + "})\n", + "\n", + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#define Seaborn color palette to use\n", + "colors = sns.color_palette('Blues', n_colors=len(df))\n", + "\n", + "#create bar chart\n", + "fig = plt.figure(figsize=(6,6))\n", + "ax = sns.barplot(data=df, x='category', y='count', palette=colors)\n", + "ax.set(xlabel=None)\n", + "ax.set(ylabel='count (n)')\n", + "plt.tight_layout()\n", + "plt.savefig('plots/content_analysis_topics.png')\n", + "plt.show()" ] }, {