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@gremau
Last active July 5, 2017 14:57
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CO2 sensor tests
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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"import sys\n",
"sys.path.append('../../GitHub/ecoflux')\n",
"import pandas as pd\n",
"import iodat as ld\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pdb as pdb\n",
"\n",
"%matplotlib inline\n"
]
},
{
"cell_type": "code",
"execution_count": 43,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Parsing /home/greg/data/Dropbox/MojaveCarbonData/ABQ_tests/ABQ_test_CR300_Table1_2017_03_28_07_05_00.dat\n",
"Calculated frequency is 5.000 minutes\n",
"Rounding to 5min\n",
"Parsing /home/greg/data/Dropbox/MojaveCarbonData/ABQ_tests/ABQ_test_CR300_Table1_2017_04_10_18_32_00.dat\n",
"Calculated frequency is 5.000 minutes\n",
"Rounding to 5min\n",
"Calculated frequency is 5.000 minutes\n",
"Rounding to 5min\n",
"Reindexing dataframe...\n",
"Index(['RECORD', 'BattV', 'BattV_Min', 'PTemp_C_Avg', 'PSI_1_2_Avg',\n",
" 'TMPS6_1_2_Avg', 'CO2mV_eo1_lo_Avg', 'CO2mV_eo1_hi_Avg',\n",
" 'CO2mV_eo1_t_Avg', 'CO2mV_vs1_Avg', 'CO2_eo1_lo_Avg', 'CO2_eo1_hi_Avg',\n",
" 'CO2_eo1_t_Avg', 'CO2_vs1_Avg'],\n",
" dtype='object')\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style>\n",
" .dataframe thead tr:only-child th {\n",
" text-align: right;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: left;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>RECORD</th>\n",
" <th>BattV</th>\n",
" <th>BattV_Min</th>\n",
" <th>PTemp_C_Avg</th>\n",
" <th>PSI_1_2_Avg</th>\n",
" <th>TMPS6_1_2_Avg</th>\n",
" <th>CO2mV_eo1_lo_Avg</th>\n",
" <th>CO2mV_eo1_hi_Avg</th>\n",
" <th>CO2mV_eo1_t_Avg</th>\n",
" <th>CO2mV_vs1_Avg</th>\n",
" <th>CO2_eo1_lo_Avg</th>\n",
" <th>CO2_eo1_hi_Avg</th>\n",
" <th>CO2_eo1_t_Avg</th>\n",
" <th>CO2_vs1_Avg</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>2017-03-22 08:25:00</th>\n",
" <td>0</td>\n",
" <td>13.82</td>\n",
" <td>13.59</td>\n",
" <td>27.45</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>691.6901</td>\n",
" <td>692.3215</td>\n",
" <td>1660.447</td>\n",
" <td>515.1064</td>\n",
" <td>329.3958</td>\n",
" <td>329.8234</td>\n",
" <td>-10.72948</td>\n",
" <td>409.1946</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-03-22 08:30:00</th>\n",
" <td>1</td>\n",
" <td>13.78</td>\n",
" <td>13.59</td>\n",
" <td>27.64</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>716.0665</td>\n",
" <td>716.6251</td>\n",
" <td>1661.501</td>\n",
" <td>521.8073</td>\n",
" <td>341.1861</td>\n",
" <td>341.5739</td>\n",
" <td>-10.72369</td>\n",
" <td>414.8912</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-03-22 08:35:00</th>\n",
" <td>2</td>\n",
" <td>13.59</td>\n",
" <td>13.58</td>\n",
" <td>27.89</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>697.6482</td>\n",
" <td>697.8406</td>\n",
" <td>1663.001</td>\n",
" <td>511.0876</td>\n",
" <td>331.9347</td>\n",
" <td>332.2600</td>\n",
" <td>-10.71565</td>\n",
" <td>408.5028</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-03-22 08:40:00</th>\n",
" <td>3</td>\n",
" <td>13.60</td>\n",
" <td>13.59</td>\n",
" <td>28.05</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>661.3983</td>\n",
" <td>660.8736</td>\n",
" <td>1664.366</td>\n",
" <td>485.9947</td>\n",
" <td>314.3575</td>\n",
" <td>314.6973</td>\n",
" <td>-10.70803</td>\n",
" <td>391.3383</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2017-03-22 08:45:00</th>\n",
" <td>4</td>\n",
" <td>13.79</td>\n",
" <td>13.56</td>\n",
" <td>28.16</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>668.7303</td>\n",
" <td>669.0808</td>\n",
" <td>1665.676</td>\n",
" <td>484.2271</td>\n",
" <td>318.2659</td>\n",
" <td>318.5714</td>\n",
" <td>-10.70030</td>\n",
" <td>390.0639</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" RECORD BattV BattV_Min PTemp_C_Avg PSI_1_2_Avg \\\n",
"2017-03-22 08:25:00 0 13.82 13.59 27.45 0 \n",
"2017-03-22 08:30:00 1 13.78 13.59 27.64 0 \n",
"2017-03-22 08:35:00 2 13.59 13.58 27.89 0 \n",
"2017-03-22 08:40:00 3 13.60 13.59 28.05 0 \n",
"2017-03-22 08:45:00 4 13.79 13.56 28.16 0 \n",
"\n",
" TMPS6_1_2_Avg CO2mV_eo1_lo_Avg CO2mV_eo1_hi_Avg \\\n",
"2017-03-22 08:25:00 0 691.6901 692.3215 \n",
"2017-03-22 08:30:00 0 716.0665 716.6251 \n",
"2017-03-22 08:35:00 0 697.6482 697.8406 \n",
"2017-03-22 08:40:00 0 661.3983 660.8736 \n",
"2017-03-22 08:45:00 0 668.7303 669.0808 \n",
"\n",
" CO2mV_eo1_t_Avg CO2mV_vs1_Avg CO2_eo1_lo_Avg \\\n",
"2017-03-22 08:25:00 1660.447 515.1064 329.3958 \n",
"2017-03-22 08:30:00 1661.501 521.8073 341.1861 \n",
"2017-03-22 08:35:00 1663.001 511.0876 331.9347 \n",
"2017-03-22 08:40:00 1664.366 485.9947 314.3575 \n",
"2017-03-22 08:45:00 1665.676 484.2271 318.2659 \n",
"\n",
" CO2_eo1_hi_Avg CO2_eo1_t_Avg CO2_vs1_Avg \n",
"2017-03-22 08:25:00 329.8234 -10.72948 409.1946 \n",
"2017-03-22 08:30:00 341.5739 -10.72369 414.8912 \n",
"2017-03-22 08:35:00 332.2600 -10.71565 408.5028 \n",
"2017-03-22 08:40:00 314.6973 -10.70803 391.3383 \n",
"2017-03-22 08:45:00 318.5714 -10.70030 390.0639 "
]
},
"execution_count": 43,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"data, dt = ld.site_datafile_concat('ABQ_test', '/home/greg/data/Dropbox/MojaveCarbonData/ABQ_tests/', setfreq='5min')\n",
"print(data.columns)\n",
"data.head()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Sensor comparison\n",
"\n",
"A eosense GP sensor and Vaisala GMP252 sensor were run on the same datalogger for several days to evaluate their similarity.\n",
"\n",
"There is definitely an offset visible between the sensors, which is likely a calibration issue. Also, these data could not be pressure corrected (no sensor available at the time).\n",
"\n",
"The difference between the sensors does seem to vary but its not apparent whether this is due to some differential temperature sensitivity between them.\n",
" "
]
},
{
"cell_type": "code",
"execution_count": 73,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.text.Text at 0x7f2c5fcf1a58>"
]
},
"execution_count": 73,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
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vF06kpf5EHgKLumklhGju3o4ALgF26353ob2HXAvov7Cvgdvd0TdDgXwpZZ2X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\nOyse5YaKKbSJtfk71YcdkYMBKG3jsyibX4QQ5F7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TqgbTZ32gxxSOWfvRUwyb/BlbdeqZ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\nNBpNBUcreo1Go6ngaEWv0Wg0FZz/B2zIJrMC7IpsAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f2c5f199f28>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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asvb5D6k1CuZEndLQXp0SbBXl2ZjY/TgfhbKB67biJOGIrutvcmgUaaNtiumT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\nx1l+AAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f2c5ef549b0>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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6g939dSHHbqJa1lwSlqe7ExFpLU9zfnGynn4AvAT4U+BNwCJ3vzfthkmy8nR3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\nA/roRQAAAABJRU5ErkJggg==\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f2c5f1e7828>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"subset = data.query('index < \"2017-03-27 08:00:00\"')\n",
"subset[['CO2_eo1_lo_Avg', 'CO2_eo1_hi_Avg', 'CO2_vs1_Avg']].plot()\n",
"plt.legend(['Eos low', 'Eos hi', 'Vaisala'])\n",
"\n",
"plt.figure()\n",
"diff = subset.CO2_eo1_hi_Avg - subset.CO2_vs1_Avg\n",
"diff.plot()\n",
"plt.ylabel('sensor difference')\n",
"\n",
"plt.figure()\n",
"plt.scatter(subset.PTemp_C_Avg, diff)\n",
"plt.ylabel('sensor difference')\n",
"plt.xlabel('degrees C')"
]
},
{
"cell_type": "code",
"execution_count": 70,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/greg/data/miniconda3/lib/python3.5/site-packages/matplotlib/axes/_axes.py:545: UserWarning: No labelled objects found. Use label='...' kwarg on individual plots.\n",
" warnings.warn(\"No labelled objects found. \"\n"
]
},
{
"data": {
"image/png": 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h5zxSdihotZuebPeWdGy1j/MhO/cTjl7XX4jIBBF53h3gvyMiZ7vleQf6QRRt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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f2c5f137128>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Sensor response during some temperature changes\n",
"plt.plot(data.index, data[['CO2mV_eo1_lo_Avg', 'CO2mV_eo1_hi_Avg']])\n",
"plt.legend()\n",
"ax = plt.gca()\n",
"ax2 = ax.twinx()\n",
"ax2.plot(data.index, data.PTemp_C_Avg)\n",
"plt.show()"
]
},
{
"cell_type": "code",
"execution_count": 40,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.collections.PathCollection at 0x7f2c5fbb0198>"
]
},
"execution_count": 40,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": 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kV4TLzqx+hkXRCEvtSzpys/W9RlYN8a7lizuSz8ieSlfG+uUJj96znfWbdvLy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\n6A3DMCqOKXrDMIyKY4reMAyj4vx/MjEHqeqh/wcAAAAASUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x7f2c5fdbff28>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"plt.scatter(data.PTemp_C_Avg, data.CO2mV_eo1_hi_Avg)"
]
}
],
"metadata": {
"anaconda-cloud": {},
"kernelspec": {
"display_name": "Python [conda root]",
"language": "python",
"name": "conda-root-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": "3.5.3"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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