Python-DT_Slot_3/Messing Around/visualize_parameters_nb.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from numpy import cos,exp,sin\n",
    "\n",
    "\n",
    "time_vec = np.linspace(0,100,1000)\n",
    "h_vec = cos(time_vec)*exp(-0.03*time_vec)\n",
    "\n",
    "time_df = pd.DataFrame(time_vec,columns=['time'])\n",
    "h_df = pd.DataFrame(h_vec,columns=['height'])\n",
    "\n",
    "concat_df = pd.concat([time_df,h_df],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
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       }
      }
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import plotly.express as px\n",
    "from plotly.subplots import make_subplots\n",
    "import plotly.graph_objects as go\n",
    "\n",
    "fig = make_subplots(rows=2, cols=1)\n",
    "\n",
    "fig.add_trace(go.Scatter(x=concat_df['time'],y=concat_df['height']),\n",
    "              row=1, col=1)\n",
    "fig.add_trace(go.Scatter(x=concat_df['time'],y=-1*np.ones_like(concat_df['time'])),\n",
    "              row=2, col=1)\n",
    "fig.add_trace(go.Scatter(x=concat_df['time'],y=+1*np.ones_like(concat_df['time'])),\n",
    "              row=2, col=1)\n",
    "\n",
    "fig.update_xaxes(title_text=\"xaxis 1 title\", row=1, col=1)\n",
    "fig.update_xaxes(title_text=\"xaxis 2 title\", row=2, col=1)\n",
    "fig.update_yaxes(title_text=\"yaxis 1 title\", row=1, col=1)\n",
    "fig.update_yaxes(title_text=\"yaxis 2 title\", row=2, col=1)\n",
    "\n",
    "\n",
    "fig.show()"
   ]
  }
 ],
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