{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"import gpxpy\n",
"import mplleaflet\n",
"import pykalman\n",
"import pandas as pd\n",
"\n",
"import matplotlib.pyplot as plt\n",
"plt.rcParams['axes.xmargin'] = 0.1\n",
"plt.rcParams['axes.ymargin'] = 0.1\n",
"%matplotlib inline\n",
"\n",
"import seaborn as sns\n",
"sns.set_style(\"whitegrid\")\n",
"sns.set_context(\"talk\")\n",
"\n",
"%load_ext autoreload\n",
"%autoreload 2"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Reading a GPX file"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"with open('../gpx/3-laender-giro.gpx') as fh:\n",
" gpx_file = gpxpy.parse(fh)"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"File has 1 track(s).\n"
]
}
],
"source": [
"print(\"File has {} track(s).\".format(len(gpx_file.tracks)))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Track has 1 segment(s).\n"
]
}
],
"source": [
"print(\"Track has {} segment(s).\".format(len(gpx_file.tracks[0].segments)))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## GPX segments can be easily converted to a Pandas dataframe"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"collapsed": false,
"scrolled": true
},
"outputs": [
{
"data": {
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