{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# contour"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"This section provides examples of how to use the contour function. At a minimum, the `plot` function requires the following keywords:\n",
"\n",
"- `df`: a pandas DataFrame
\n",
"- `x`: the name of the DataFrame column containing the x-axis data
\n",
"- `y`: the name of the DataFrame column containing the y-axis data
\n",
"- `z`: the name of the DataFrame column containing the z-axis data
\n",
"
"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Setup"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Imports"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"%load_ext autoreload\n",
"%autoreload 2\n",
"%matplotlib inline\n",
"import fivecentplots as fcp\n",
"import pandas as pd\n",
"import numpy as np\n",
"import os, sys, pdb\n",
"osjoin = os.path.join\n",
"st = pdb.set_trace"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"### Sample data"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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