Script for plotting data from a wad file exported by Nortek's Storm software recorded by an AWAC ( Acoustic wave and current profiler ).

plot_wad_awac.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from datetime import datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "columns = ['month', 'day', 'year', 'hour', 'minute', 'seconds', \n",
    "           'pressure', 'ast_distance1_beam4', 'ast_distance2_beam4', \n",
    "           'ast_quality_beam4', 'analog_input', 'velocity_beam1_x_east_m_s',\n",
    "           'velocity_beam2_y_north_m_s', 'velocity_beam3_x_up_m_s', \n",
    "           'amplitude_beam1', 'amplitude_beam2', 'amplitude_beam3']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "wad_df = pd.read_csv('data.wad', delim_whitespace=True, header=None, names=columns, parse_dates={'DateTime':[2,0,1,3,4,5]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "wad_df.index = pd.to_datetime(wad_df.DateTime, format='%Y %m %d %H %M %S.%f')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "wad_df.drop('DateTime', axis=1, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "wad_df.pressure.plot()"
   ]
  }
 ],
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