{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import pandas as pd\n",
"import seaborn as sns\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"-15.485477463084308 97.4718452561147\n"
]
}
],
"source": [
"hum_refs = np.array([8,75,92])\n",
"v_refs = np.array([5.7835,0.9261,0.8727])\n",
"x = pd.Series(v_refs)\n",
"y = pd.Series(hum_refs)\n",
"\n",
"slope, intercept = np.polyfit(x, y, 1)\n",
"print(slope,intercept)"
]
},