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"source": [
"import plotly.graph_objects as go\n",
"\n",
"# Create a bar chart for Total Reviews and Sentences\n",
"fig1 = go.Figure()\n",
"fig1.add_trace(go.Bar(x=[\"Total Reviews\", \"Total Sentences\"], y=[50000, 621647], text=[50000, 621647], textposition=\"auto\"))\n",
"fig1.update_layout(title=\"Total Reviews and Sentences\")\n",
"fig1.show()\n",
"\n",
"# Create a bar chart for Pronouns in Sentences\n",
"fig2 = go.Figure()\n",
"fig2.add_trace(go.Bar(x=[\"Male Pronouns\", \"Female Pronouns\", \"Both Male and Female Pronouns\"],\n",
" y=[85615, 39372, 7765], text=[85615, 39372, 7765], textposition=\"auto\"))\n",
"fig2.update_layout(title=\"Pronouns in Sentences\")\n",
"fig2.show()\n",
"\n",
"# Create a bar chart for Exclusive Usage of Pronouns\n",
"fig3 = go.Figure()\n",
"fig3.add_trace(go.Bar(x=[\"Only Male Pronouns\", \"Only Female Pronouns\"],\n",
" y=[77860, 31617], text=[77860, 31617], textposition=\"auto\"))\n",
"fig3.update_layout(title=\"Exclusive Usage of Pronouns\")\n",
"fig3.show()\n",
"\n",
"# Create a bar chart for Pronouns and Professions in Sentences\n",
"fig4 = go.Figure()\n",
"fig4.add_trace(go.Bar(x=[\"Male Pronouns with Professions\", \"Female Pronouns with Professions\"],\n",
" y=[5580, 2618], text=[5580, 2618], textposition=\"auto\"))\n",
"fig4.update_layout(title=\"Pronouns and Professions in Sentences\")\n",
"fig4.show()\n",
"\n",
"# Create a bar chart for Exclusive Usage of Pronouns with Professions\n",
"fig5 = go.Figure()\n",
"fig5.add_trace(go.Bar(x=[\"Only Male Pronouns with Professions\", \"Only Female Pronouns with Professions\"],\n",
" y=[5011, 2049], text=[5011, 2049], textposition=\"auto\"))\n",
"fig5.update_layout(title=\"Exclusive Usage of Pronouns with Professions\")\n",
"fig5.show()\n",
"\n",
"# Create a bar chart for Pronouns and Professions in Combination\n",
"fig6 = go.Figure()\n",
"fig6.add_trace(go.Bar(x=[\"Male or Female Pronouns with Professions\", \"Male and Female Pronouns with Professions\"],\n",
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"fig6.update_layout(title=\"Pronouns and Professions in Combination\")\n",
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]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
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"name": "stdout",
"output_type": "stream",
"text": [
"Caching examples at: '/home/frey/gh/biasaware/gradio_cached_examples/17'\n",
"Caching example 1/3\n",
"Caching example 2/3\n",
"Caching example 3/3\n",
"Caching complete\n",
"\n",
"Running on local URL: http://127.0.0.1:7861\n",
"\n",
"To create a public link, set `share=True` in `launch()`.\n"
]
},
{
"data": {
"text/html": [
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],
"text/plain": [
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]
},
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"source": [
"import altair\n",
"\n",
"import gradio as gr\n",
"from math import sqrt\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import plotly.express as px\n",
"import pandas as pd\n",
"\n",
"\n",
"def outbreak(plot_type, r, month, countries, social_distancing):\n",
" months = [\"January\", \"February\", \"March\", \"April\", \"May\"]\n",
" m = months.index(month)\n",
" start_day = 30 * m\n",
" final_day = 30 * (m + 1)\n",
" x = np.arange(start_day, final_day + 1)\n",
" pop_count = {\"USA\": 350, \"Canada\": 40, \"Mexico\": 300, \"UK\": 120}\n",
" if social_distancing:\n",
" r = sqrt(r)\n",
" df = pd.DataFrame({\"day\": x})\n",
" for country in countries:\n",
" df[country] = x ** (r) * (pop_count[country] + 1)\n",
"\n",
" if plot_type == \"Matplotlib\":\n",
" fig = plt.figure()\n",
" plt.plot(df[\"day\"], df[countries].to_numpy())\n",
" plt.title(\"Outbreak in \" + month)\n",
" plt.ylabel(\"Cases\")\n",
" plt.xlabel(\"Days since Day 0\")\n",
" plt.legend(countries)\n",
" return fig\n",
" elif plot_type == \"Plotly\":\n",
" fig = px.line(df, x=\"day\", y=countries)\n",
" fig.update_layout(\n",
" title=\"Outbreak in \" + month,\n",
" xaxis_title=\"Cases\",\n",
" yaxis_title=\"Days Since Day 0\",\n",
" )\n",
" return fig\n",
" elif plot_type == \"Altair\":\n",
" df = df.melt(id_vars=\"day\").rename(columns={\"variable\": \"country\"})\n",
" fig = altair.Chart(df).mark_line().encode(x=\"day\", y='value', color='country')\n",
" return fig\n",
" else:\n",
" raise ValueError(\"A plot type must be selected\")\n",
"\n",
"\n",
"inputs = [\n",
" gr.Dropdown([\"Matplotlib\", \"Plotly\", \"Altair\"], label=\"Plot Type\"),\n",
" gr.Slider(1, 4, 3.2, label=\"R\"),\n",
" gr.Dropdown([\"January\", \"February\", \"March\", \"April\", \"May\"], label=\"Month\"),\n",
" gr.CheckboxGroup(\n",
" [\"USA\", \"Canada\", \"Mexico\", \"UK\"], label=\"Countries\", value=[\"USA\", \"Canada\"]\n",
" ),\n",
" gr.Checkbox(label=\"Social Distancing?\"),\n",
"]\n",
"outputs = gr.Plot()\n",
"\n",
"demo = gr.Interface(\n",
" fn=outbreak,\n",
" inputs=inputs,\n",
" outputs=outputs,\n",
" examples=[\n",
" [\"Matplotlib\", 2, \"March\", [\"Mexico\", \"UK\"], True],\n",
" [\"Altair\", 2, \"March\", [\"Mexico\", \"Canada\"], True],\n",
" [\"Plotly\", 3.6, \"February\", [\"Canada\", \"Mexico\", \"UK\"], False],\n",
" ],\n",
" cache_examples=True,\n",
")\n",
"\n",
"if __name__ == \"__main__\":\n",
" demo.launch()"
]
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