wtbarnes/utplot-solarwind-example.ipynb

## utplot-solarwind-example.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Emulating `UTPLOT.pro` Functionality in Python: A First Attempt\n",
    "\n",
    "This notebook is a first attempt at emulating `utplot.pro` functionality in Python, primarily using the [pandas](https://pandas.pydata.org/) package. The only goal at this point is to reproduce the following plot which was made in IDL with `utplot.pro`.\n",
    "\n",
    "![utplot.pro](example_utplot_solar_wind/plot_sw_mag_wind_geo4_nohep_kp_201106040000_201106070000.png)\n",
    "\n",
    "This example only uses `pandas`, but it may be worth exploring if [`sunpy.timeseries`](https://docs.sunpy.org/en/stable/guide/data_types/timeseries.html) or [`astropy.table`](https://docs.astropy.org/en/stable/table/) can make any of this more simple.\n",
    "\n",
    "## Getting Started\n",
    "\n",
    "To run this notebook, you'll need the following packages:\n",
    "\n",
    "* pandas -- for manipulating multi-dimensional tabular data (e.g. timeseries)\n",
    "* matplotlib -- for plotting\n",
    "* numpy -- for manipulating array data / general scientific computation\n",
    "\n",
    "All of these dependencies come bundled with the Anaconda distribution so you should not need to install any additional packages.\n",
    "\n",
    "This also assumes that all of the necessary data files are in `example_utplot_solar_wind` and that this directory is in the same directory as this notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Import Dependencies\n",
    "\n",
    "This pulls in the needed packages into the namespace of the notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import glob\n",
    "\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib.dates as mdates\n",
    "import matplotlib.colors\n",
    "import numpy as np\n",
    "\n",
    "# This embeds plots inline in the notebook as PNGs\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. Read Data into Dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Collect a list of all of the relevant data files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "files = sorted(glob.glob('example_utplot_solar_wind/*.txt'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['example_utplot_solar_wind/row_01_03_07_mag_1m.txt',\n",
       " 'example_utplot_solar_wind/row_03_2_mag_angle.txt',\n",
       " 'example_utplot_solar_wind/row_04_06_plasma.txt',\n",
       " 'example_utplot_solar_wind/row_08_10_mag_1h.txt',\n",
       " 'example_utplot_solar_wind/row_11_dst_1h.txt',\n",
       " 'example_utplot_solar_wind/row_12_kp_3h.txt']"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "files"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, read each of these files into a separate `pandas.Dataframe` object. We can do this easily using the `read_csv` method. Note that `read_csv` is capable of parsing text files with delimiters other than a comma. The arguments I've passed to `read_csv` here are tweaked especially for these data files. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataframes = [pd.read_csv(f, delimiter='\\s\\s+', index_col=0, engine='python') for f in files]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`dataframes` is a `list`, where each entry is the dataframe for the corresponding file listed above. Looking at the first 10 rows of the first dataframe (for `row_01_03_07_mag_1m.txt`), we can see that it contains columns for $B,\\theta,\\phi,B_z$ with the appropriate timestamp for each row."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>|B|</th>\n",
       "      <th>Theta</th>\n",
       "      <th>Phi</th>\n",
       "      <th>Bz</th>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "      <td>2.794</td>\n",
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       "      <td>2.765</td>\n",
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       "    <tr>\n",
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       "      <td>2.879</td>\n",
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       "      <td>-0.688</td>\n",
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       "    <tr>\n",
       "      <th>2011/06/04 00:05:30.000</th>\n",
       "      <td>2.906</td>\n",
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       "      <td>330.275</td>\n",
       "      <td>-0.689</td>\n",
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       "    <tr>\n",
       "      <th>2011/06/04 00:06:30.000</th>\n",
       "      <td>2.905</td>\n",
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       "      <td>-0.805</td>\n",
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       "    <tr>\n",
       "      <th>2011/06/04 00:07:30.000</th>\n",
       "      <td>2.891</td>\n",
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       "      <td>327.705</td>\n",
       "      <td>-0.751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011/06/04 00:08:30.000</th>\n",
       "      <td>2.885</td>\n",
       "      <td>-15.532</td>\n",
       "      <td>327.589</td>\n",
       "      <td>-0.770</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           |B|   Theta      Phi     Bz\n",
       "Time                                                  \n",
       "2011/06/03 23:59:30.000  2.794 -15.745  330.155 -0.758\n",
       "2011/06/04 00:00:30.000  2.832 -14.711  330.102 -0.719\n",
       "2011/06/04 00:01:30.000  2.824 -14.736  329.245 -0.718\n",
       "2011/06/04 00:02:30.000  2.765 -15.400  329.538 -0.734\n",
       "2011/06/04 00:03:30.000  2.851 -14.441  329.506 -0.711\n",
       "2011/06/04 00:04:30.000  2.879 -13.825  329.831 -0.688\n",
       "2011/06/04 00:05:30.000  2.906 -13.713  330.275 -0.689\n",
       "2011/06/04 00:06:30.000  2.905 -16.096  329.307 -0.805\n",
       "2011/06/04 00:07:30.000  2.891 -15.062  327.705 -0.751\n",
       "2011/06/04 00:08:30.000  2.885 -15.532  327.589 -0.770"
      ]
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     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "dataframes[0][:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. Concatenate Dataframes\n",
    "\n",
    "However, we want to plot every quantity in all of these files on a single time axis. The easiest way to do this is to combine all of these dataframes into a single dataframe with a column for each quantity. We can stack all of these dataframes using the `pandas.concat` function and passing in our list of dataframes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.concat(dataframes, sort=True, join='outer').sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Bx', 'By', 'Bz', 'Dst', 'Kp', 'Parker', 'Phi', 'Theta', 'Tp', 'exp_Tp',\n",
       "       'np', 'vp', '|B|'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
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      "text/plain": [
       "                         Bx  By     Bz  Dst     Kp  Parker      Phi   Theta  \\\n",
       "Time                                                                          \n",
       "2011/06/03 23:59:25.000 NaN NaN    NaN  NaN    NaN  48.309  330.155     NaN   \n",
       "2011/06/03 23:59:25.071 NaN NaN    NaN  NaN    NaN     NaN      NaN     NaN   \n",
       "2011/06/03 23:59:30.000 NaN NaN -0.758  NaN    NaN     NaN  330.155 -15.745   \n",
       "2011/06/04 00:00:00.000 NaN NaN    NaN  NaN  0.333     NaN      NaN     NaN   \n",
       "2011/06/04 00:00:30.000 NaN NaN -0.719  NaN    NaN     NaN  330.102 -14.711   \n",
       "2011/06/04 00:01:30.000 NaN NaN -0.718  NaN    NaN     NaN  329.245 -14.736   \n",
       "2011/06/04 00:02:30.000 NaN NaN -0.734  NaN    NaN     NaN  329.538 -15.400   \n",
       "2011/06/04 00:03:30.000 NaN NaN -0.711  NaN    NaN     NaN  329.506 -14.441   \n",
       "2011/06/04 00:04:16.000 NaN NaN    NaN  NaN    NaN  48.376  329.831     NaN   \n",
       "2011/06/04 00:04:16.000 NaN NaN    NaN  NaN    NaN  48.376  329.538     NaN   \n",
       "\n",
       "                                Tp     exp_Tp     np     vp    |B|  \n",
       "Time                                                                \n",
       "2011/06/03 23:59:25.000        NaN        NaN    NaN    NaN    NaN  \n",
       "2011/06/03 23:59:25.071  14346.303  45873.531  3.902  383.0    NaN  \n",
       "2011/06/03 23:59:30.000        NaN        NaN    NaN    NaN  2.794  \n",
       "2011/06/04 00:00:00.000        NaN        NaN    NaN    NaN    NaN  \n",
       "2011/06/04 00:00:30.000        NaN        NaN    NaN    NaN  2.832  \n",
       "2011/06/04 00:01:30.000        NaN        NaN    NaN    NaN  2.824  \n",
       "2011/06/04 00:02:30.000        NaN        NaN    NaN    NaN  2.765  \n",
       "2011/06/04 00:03:30.000        NaN        NaN    NaN    NaN  2.851  \n",
       "2011/06/04 00:04:16.000        NaN        NaN    NaN    NaN    NaN  \n",
       "2011/06/04 00:04:16.000        NaN        NaN    NaN    NaN    NaN  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that we now have a single time axis for all quantities, despite the fact that each dataframe in our list had a different time axis. pandas is smart enough to interleave the entries as appropriate and fill in in values in each column with `NaN` where there is no valid value."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We need to make a few last modifications to our concatenated table. First, we want to make sure our table knows that index column is a `datetime`. This will make the plotting easier in the end as well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.index = pd.to_datetime(df.index)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Second, we need to make sure all columns are of numeric type. There are a few blank entries in some of the files which may get interpreted in an unexpected way. This will make it hard to interpolate and plot data later on."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "non_numeric_cols = df.columns[df.dtypes.eq('object')]\n",
    "df[non_numeric_cols] = df[non_numeric_cols].apply(pd.to_numeric, errors='coerce')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, let's look again at our concatenated table (just rows 100 through 109) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    .dataframe tbody tr th {\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Bx</th>\n",
       "      <th>By</th>\n",
       "      <th>Bz</th>\n",
       "      <th>Dst</th>\n",
       "      <th>Kp</th>\n",
       "      <th>Parker</th>\n",
       "      <th>Phi</th>\n",
       "      <th>Theta</th>\n",
       "      <th>Tp</th>\n",
       "      <th>exp_Tp</th>\n",
       "      <th>np</th>\n",
       "      <th>vp</th>\n",
       "      <th>|B|</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "      <th>2011-06-04 00:37:30.000</th>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>2.750</td>\n",
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       "      <th>2011-06-04 00:38:28.000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.585</td>\n",
       "      <td>329.274</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2011-06-04 00:38:28.829</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>8635.181</td>\n",
       "      <td>44332.957</td>\n",
       "      <td>4.571</td>\n",
       "      <td>379.3</td>\n",
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       "    <tr>\n",
       "      <th>2011-06-04 00:38:30.000</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>329.274</td>\n",
       "      <td>-22.950</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.645</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-06-04 00:39:30.000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.695</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>326.323</td>\n",
       "      <td>-15.910</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.539</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-06-04 00:40:06.000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.607</td>\n",
       "      <td>326.323</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-06-04 00:40:06.000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>48.607</td>\n",
       "      <td>329.418</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-06-04 00:40:06.927</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8391.038</td>\n",
       "      <td>44209.199</td>\n",
       "      <td>4.741</td>\n",
       "      <td>379.0</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2011-06-04 00:40:30.000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.859</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>329.418</td>\n",
       "      <td>-19.935</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-06-04 00:41:30.000</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-1.086</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>329.471</td>\n",
       "      <td>-25.001</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.571</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         Bx  By     Bz  Dst  Kp  Parker      Phi   Theta  \\\n",
       "Time                                                                       \n",
       "2011-06-04 00:37:30.000 NaN NaN -1.163  NaN NaN     NaN  330.132 -25.018   \n",
       "2011-06-04 00:38:28.000 NaN NaN    NaN  NaN NaN  48.585  329.274     NaN   \n",
       "2011-06-04 00:38:28.829 NaN NaN    NaN  NaN NaN     NaN      NaN     NaN   \n",
       "2011-06-04 00:38:30.000 NaN NaN -1.031  NaN NaN     NaN  329.274 -22.950   \n",
       "2011-06-04 00:39:30.000 NaN NaN -0.695  NaN NaN     NaN  326.323 -15.910   \n",
       "2011-06-04 00:40:06.000 NaN NaN    NaN  NaN NaN  48.607  326.323     NaN   \n",
       "2011-06-04 00:40:06.000 NaN NaN    NaN  NaN NaN  48.607  329.418     NaN   \n",
       "2011-06-04 00:40:06.927 NaN NaN    NaN  NaN NaN     NaN      NaN     NaN   \n",
       "2011-06-04 00:40:30.000 NaN NaN -0.859  NaN NaN     NaN  329.418 -19.935   \n",
       "2011-06-04 00:41:30.000 NaN NaN -1.086  NaN NaN     NaN  329.471 -25.001   \n",
       "\n",
       "                               Tp     exp_Tp     np     vp    |B|  \n",
       "Time                                                               \n",
       "2011-06-04 00:37:30.000       NaN        NaN    NaN    NaN  2.750  \n",
       "2011-06-04 00:38:28.000       NaN        NaN    NaN    NaN    NaN  \n",
       "2011-06-04 00:38:28.829  8635.181  44332.957  4.571  379.3    NaN  \n",
       "2011-06-04 00:38:30.000       NaN        NaN    NaN    NaN  2.645  \n",
       "2011-06-04 00:39:30.000       NaN        NaN    NaN    NaN  2.539  \n",
       "2011-06-04 00:40:06.000       NaN        NaN    NaN    NaN    NaN  \n",
       "2011-06-04 00:40:06.000       NaN        NaN    NaN    NaN    NaN  \n",
       "2011-06-04 00:40:06.927  8391.038  44209.199  4.741  379.0    NaN  \n",
       "2011-06-04 00:40:30.000       NaN        NaN    NaN    NaN  2.525  \n",
       "2011-06-04 00:41:30.000       NaN        NaN    NaN    NaN  2.571  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[100:110]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To grab individual columns,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Time\n",
       "2011-06-03 23:59:25.000    48.309\n",
       "2011-06-03 23:59:25.071       NaN\n",
       "2011-06-03 23:59:30.000       NaN\n",
       "2011-06-04 00:00:00.000       NaN\n",
       "2011-06-04 00:00:30.000       NaN\n",
       "                            ...  \n",
       "2011-06-06 23:58:41.000    46.399\n",
       "2011-06-06 23:58:41.565       NaN\n",
       "2011-06-06 23:59:30.000       NaN\n",
       "2011-06-07 00:00:00.000       NaN\n",
       "2011-06-07 00:00:30.000       NaN\n",
       "Name: Parker, Length: 11322, dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['Parker']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Or to create a new table based on the value in a particular column, (e.g. select only rows where $|\\theta|<25^{\\circ}$)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th>vp</th>\n",
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       "    <tr>\n",
       "      <th>Time</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th>2011-06-03 23:59:30</th>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>2011-06-04 00:00:30</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-06-04 00:01:30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.718</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>329.245</td>\n",
       "      <td>-14.736</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-06-04 00:02:30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.734</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>329.538</td>\n",
       "      <td>-15.400</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-06-04 00:03:30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.711</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>329.506</td>\n",
       "      <td>-14.441</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.851</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-06-04 00:04:30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.688</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>329.831</td>\n",
       "      <td>-13.825</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.879</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-06-04 00:05:30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.689</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>330.275</td>\n",
       "      <td>-13.713</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-06-04 00:06:30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.805</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>329.307</td>\n",
       "      <td>-16.096</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.905</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-06-04 00:07:30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.751</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>327.705</td>\n",
       "      <td>-15.062</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2011-06-04 00:08:30</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>-0.770</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>327.589</td>\n",
       "      <td>-15.532</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.885</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     Bx  By     Bz  Dst  Kp  Parker      Phi   Theta  Tp  \\\n",
       "Time                                                                       \n",
       "2011-06-03 23:59:30 NaN NaN -0.758  NaN NaN     NaN  330.155 -15.745 NaN   \n",
       "2011-06-04 00:00:30 NaN NaN -0.719  NaN NaN     NaN  330.102 -14.711 NaN   \n",
       "2011-06-04 00:01:30 NaN NaN -0.718  NaN NaN     NaN  329.245 -14.736 NaN   \n",
       "2011-06-04 00:02:30 NaN NaN -0.734  NaN NaN     NaN  329.538 -15.400 NaN   \n",
       "2011-06-04 00:03:30 NaN NaN -0.711  NaN NaN     NaN  329.506 -14.441 NaN   \n",
       "2011-06-04 00:04:30 NaN NaN -0.688  NaN NaN     NaN  329.831 -13.825 NaN   \n",
       "2011-06-04 00:05:30 NaN NaN -0.689  NaN NaN     NaN  330.275 -13.713 NaN   \n",
       "2011-06-04 00:06:30 NaN NaN -0.805  NaN NaN     NaN  329.307 -16.096 NaN   \n",
       "2011-06-04 00:07:30 NaN NaN -0.751  NaN NaN     NaN  327.705 -15.062 NaN   \n",
       "2011-06-04 00:08:30 NaN NaN -0.770  NaN NaN     NaN  327.589 -15.532 NaN   \n",
       "\n",
       "                     exp_Tp  np  vp    |B|  \n",
       "Time                                        \n",
       "2011-06-03 23:59:30     NaN NaN NaN  2.794  \n",
       "2011-06-04 00:00:30     NaN NaN NaN  2.832  \n",
       "2011-06-04 00:01:30     NaN NaN NaN  2.824  \n",
       "2011-06-04 00:02:30     NaN NaN NaN  2.765  \n",
       "2011-06-04 00:03:30     NaN NaN NaN  2.851  \n",
       "2011-06-04 00:04:30     NaN NaN NaN  2.879  \n",
       "2011-06-04 00:05:30     NaN NaN NaN  2.906  \n",
       "2011-06-04 00:06:30     NaN NaN NaN  2.905  \n",
       "2011-06-04 00:07:30     NaN NaN NaN  2.891  \n",
       "2011-06-04 00:08:30     NaN NaN NaN  2.885  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df[np.abs(df['Theta']) < 20][:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "See [this quick tutorial on pandas](https://pandas.pydata.org/pandas-docs/stable/getting_started/10min.html#min) or the [pandas documentation](https://pandas.pydata.org/) for more information on how to manipulate tabular data in Python with pandas."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. Add Polarity Column"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Additionally, we want to add another column, polarity ($\\psi$), based on two other columns. Polarity is calculated based on the following logic,\n",
    "\n",
    "$$\n",
    "\\psi = \\begin{cases}\n",
    "-1 & P + 15 < \\phi < P + 180 - 15 \\\\\n",
    "+1 & P + 180 + 15 < \\phi \\leq 360 \\, \\text{or} \\, \\phi < P - 15 \\\\\n",
    "0 & \\text{otherwise}\n",
    "\\end{cases}\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "$-1$ will be colored pink, $+1$ green, and $0$ will be yellow."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's add the new column and apply the above logic. First, create a new column that is filled with zeros."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Polarity'] = 0.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can easily check that our table now has an additional column called `Polarity`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Bx', 'By', 'Bz', 'Dst', 'Kp', 'Parker', 'Phi', 'Theta', 'Tp', 'exp_Tp',\n",
       "       'np', 'vp', '|B|', 'Polarity'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Interpolate $\\phi$ and the Parker angle, $P$, to a common time resolution as we need both of these quantities to compute $\\psi$. Pandas will automatically handle `NaN` values in the interpolation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "phi = df['Phi'].interpolate(method='time')\n",
    "parker = df['Parker'].interpolate(method='time')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, apply logic in the above formula to compute $\\psi$ from the $\\phi$ and $P$ columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Polarity'][np.logical_and(phi > (parker + 15.),\n",
    "                              phi < (parker + 180 - 15))] = -1.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['Polarity'][\n",
    "    np.logical_or(\n",
    "        np.logical_and(phi > (parker + 180 + 15.),\n",
    "                       phi < 360),\n",
    "        phi < (parker - 15))] = +1.0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 5. Plotting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have a single data frame with all of our columns all on a common time axis, we want to plot each of these columns in a single stack plot. Because we have all of our data in one `pandas.Dataframe`, this is very easy to do.\n",
    "\n",
    "The next cell creates the desired plot. I've tried to add comments to explain each cell and break up the code by row.\n",
    "\n",
    "This is a fairly complex plot. I would recommend having a look at the [matplotlib Users's Guide](https://matplotlib.org/tutorials/introductory/usage.html#sphx-glr-tutorials-introductory-usage-py) for more information on how to create graphics with matplotlib."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1296x2592 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Setup figure with 12 rows and 1 column\n",
    "# `axes` is a list of 12 different axis, one for each row\n",
    "n_rows = 12\n",
    "fig,axes = plt.subplots(\n",
    "    n_rows,\n",
    "    1,\n",
    "    sharex=True,  # All have the same x-axis\n",
    "    squeeze=True,\n",
    "    figsize=(3*6,3*n_rows)  # Big enough figure with sensible aspect ratio\n",
    ")\n",
    "\n",
    "# Set the line color to black and the line width to 1\n",
    "# We'll reuse \n",
    "params = {'color': 'k','lw':1}\n",
    "\n",
    "# Magnetic field strength\n",
    "# First, interpolate the field strength over the time axis so that\n",
    "# there are no gaps in the data\n",
    "# Setting ax=axes[0] in .plot adds this line to the first row\n",
    "df['|B|'].interpolate(method='time').plot(ax=axes[0],**params)\n",
    "# Note that we can use LaTex syntax when setting plot labels\n",
    "axes[0].set_ylabel(r'$B$ [nT]')\n",
    "\n",
    "# Theta\n",
    "df['Theta'].interpolate(method='time').plot(ax=axes[1],**params)\n",
    "axes[1].set_ylabel(r'$\\theta_B$ [deg]')\n",
    "\n",
    "# Phi\n",
    "df['Phi'].interpolate(method='time').plot(ax=axes[2],**params)\n",
    "axes[2].set_ylabel(r'$\\phi_B$ [deg]')\n",
    "\n",
    "# Velocity\n",
    "df['vp'].interpolate(method='time').plot(ax=axes[3],**params)\n",
    "axes[3].set_ylabel(r'$v$ [km/s]')\n",
    "\n",
    "# Density\n",
    "df['np'].interpolate(method='time').plot(ax=axes[4],**params)\n",
    "axes[4].set_ylabel(r'$n$ [cm$^{-3}$]')\n",
    "\n",
    "# Temperature\n",
    "df['Tp'].interpolate(method='time').plot(ax=axes[5],**params)\n",
    "df['exp_Tp'].interpolate(method='time').plot(ax=axes[5],**{**params,**{'color':'r'}})\n",
    "axes[5].set_ylabel(r'$T_p$ [K]')\n",
    "# Make the y-axis have a log scale\n",
    "axes[5].set_yscale('log')\n",
    "# Set the limits between 0.003 MK and 3 MK\n",
    "axes[5].set_ylim(3e3,3e6)\n",
    "\n",
    "# Magnetic field components\n",
    "df['Bz'].interpolate(method='time').plot(ax=axes[6],**params)\n",
    "# This adds a horizontal dashed line at Bz=0\n",
    "axes[6].axhline(y=0,**params,ls='--')\n",
    "axes[6].set_ylabel(r'$B_z$ [nT]')\n",
    "\n",
    "## X-Y\n",
    "quiver_params = {'headaxislength': 0, 'headwidth': 1, 'headlength': 0}\n",
    "# The quiver command is for plotting vector fields. It takes in a variety of different inputs\n",
    "# Here, I'm passing the x and y (all zeros) positions and the x and y components of the vector field\n",
    "# Note that this still does not look quite right as the arrows are not showing up\n",
    "# See the quiver docs for more information: https://matplotlib.org/3.1.1/api/_as_gen/matplotlib.pyplot.quiver.html\n",
    "axes[7].quiver(df.index, np.zeros(df.index.shape), df['Bx'], df['By'],\n",
    "               **params, **quiver_params)\n",
    "\n",
    "## X-Z\n",
    "axes[8].quiver(df.index, np.zeros(df.index.shape), df['Bx'], df['Bz'],\n",
    "               **params, **quiver_params)\n",
    "\n",
    "## -Y-Z\n",
    "axes[9].quiver(df.index, np.zeros(df.index.shape), -df['By'], df['Bz'],\n",
    "               **params, **quiver_params)\n",
    "\n",
    "# Dst Index\n",
    "df['Dst'].interpolate(method='time').plot(ax=axes[10],**params)\n",
    "axes[10].set_ylabel(r'Dst index [nT]')\n",
    "\n",
    "# Kp Index\n",
    "df['Kp'].interpolate(method='time').plot(ax=axes[11],**params)\n",
    "axes[11].set_ylabel(r'$K_p$ index')\n",
    "# Only add the x label at the bottom\n",
    "# Note that we can get the start time from the position of the first index\n",
    "axes[11].set_xlabel(f'Start Time ({df.index[0]})')\n",
    "\n",
    "# Fix tick mark directions\n",
    "# This iterates through the axis for each row, makes the ticks face inward, and\n",
    "# adds ticks to all sides of the plot\n",
    "for ax in axes.flatten():\n",
    "    ax.tick_params(axis='both',which='both',direction='in')\n",
    "    ax.yaxis.set_ticks_position('both')\n",
    "    ax.xaxis.set_ticks_position('both')\n",
    "    \n",
    "# Format time labels\n",
    "# This is the biggest advantage of using a dataframe as pandas is already aware our data\n",
    "# are on a time axis and this information can be passed to matplotlib.\n",
    "# All we need to do is tell matplotlib how to format the tick marks\n",
    "# For more details, see this example: https://matplotlib.org/3.1.1/gallery/text_labels_and_annotations/date.html\n",
    "axes[-1].xaxis.set_major_formatter(mdates.DateFormatter('%H:%M'))\n",
    "    \n",
    "     \n",
    "# This reduces space between the panels. In this case, we'll reduce the horizontal space (hspace) to zero\n",
    "plt.subplots_adjust(hspace=0.)\n",
    "\n",
    "# Save the figure. Matplotlib can export to many different formats.\n",
    "plt.savefig('plot_sw_mag_wind_geo4_nohep_kp_201106040000_201106070000_python.png',\n",
    "            transparent=True,\n",
    "            bbox_inches = 'tight',)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This plot is not exact recreation of the original, but it gets pretty close with not much effort. I've not include the polarity yellow-green-pink bar plot above, but have plotted it below. With a bit more effort, it could probably be included in the above plot as well."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-1.5, 1.5)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(df.index[df['Polarity']>0],\n",
    "         np.zeros(np.where(df['Polarity'] > 0)[0].shape),\n",
    "         color='green',\n",
    "         ls='',\n",
    "         marker='|',\n",
    "         markersize=10,\n",
    "         alpha=1)\n",
    "plt.plot(df.index[df['Polarity']==0],\n",
    "         np.zeros(np.where(df['Polarity'] == 0)[0].shape),\n",
    "         color='yellow',\n",
    "         ls='',\n",
    "         marker='|',\n",
    "         markersize=10,\n",
    "         alpha=1)\n",
    "plt.plot(df.index[df['Polarity']<0],\n",
    "         np.zeros(np.where(df['Polarity'] < 0)[0].shape),\n",
    "         color='pink',\n",
    "         ls='',\n",
    "         marker='|',\n",
    "         markersize=10,\n",
    "         alpha=1)\n",
    "plt.ylim(-1.5,1.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**NOTE:** These colors seem to be reversed from the original plot..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:aia-on-pleiades]",
   "language": "python",
   "name": "conda-env-aia-on-pleiades-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}