{
"cells": [
{
"cell_type": "code",
"execution_count": 83,
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import pandas as pd"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Obtain Empty ADC Value"
]
},
{
"cell_type": "code",
"execution_count": 85,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" adc | \n",
"
\n",
" \n",
" \n",
" \n",
" | count | \n",
" 9.980000e+02 | \n",
"
\n",
" \n",
" | mean | \n",
" -1.261880e+08 | \n",
"
\n",
" \n",
" | std | \n",
" 8.966628e+05 | \n",
"
\n",
" \n",
" | min | \n",
" -1.320588e+08 | \n",
"
\n",
" \n",
" | 25% | \n",
" -1.259789e+08 | \n",
"
\n",
" \n",
" | 50% | \n",
" -1.259462e+08 | \n",
"
\n",
" \n",
" | 75% | \n",
" -1.259221e+08 | \n",
"
\n",
" \n",
" | max | \n",
" -1.258074e+08 | \n",
"
\n",
" \n",
"
\n",
"
"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"empty.plot()\n",
"plt.title(\"String Pot Extended\")\n",
"plt.ylabel('ADC Value')\n",
"plt.xlabel('Elapsed Time')"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Obtain Full ADC Value"
]
},
{
"cell_type": "code",
"execution_count": 87,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
"\n",
"
\n",
" \n",
" \n",
" | \n",
" adc | \n",
"
\n",
" \n",
" \n",
" \n",
" | count | \n",
" 9.980000e+02 | \n",
"
\n",
" \n",
" | mean | \n",
" 7.292633e+08 | \n",
"
\n",
" \n",
" | std | \n",
" 1.644891e+06 | \n",
"
\n",
" \n",
" | min | \n",
" 7.180838e+08 | \n",
"
\n",
" \n",
" | 25% | \n",
" 7.294535e+08 | \n",
"
\n",
" \n",
" | 50% | \n",
" 7.297814e+08 | \n",
"
\n",
" \n",
" | 75% | \n",
" 7.300557e+08 | \n",
"
\n",
" \n",
" | max | \n",
" 7.302926e+08 | \n",
"
\n",
" \n",
"
\n",
"