squeezer44

# --------------------------
# Imports
import json
import os
import pandas as pd


# -----Step 1
# Read the file
# Construct Filepath Session

squeezer44

dataFrame_session_cleaned = dataFrame_session.drop([
    'temperature',
    'pulse_avg',
    'pulse_max',
    'manual',
    'edited',
    'live_tracking_active',
    'live_tracking_enabled',
    'cheering_enabled',
    'indoor',

squeezer44

pd.set_option('max_columns', None)          # defining all columns to be displaied
print(dataFrame_session_cleaned.loc[0:])

squeezer44

# --------------------------
# Imports
import json
import os
import pandas as pd


# -----Step 1
# Read the file
# Construct Filepath Elevation-data

squeezer44

# -----Drop redundant columns
dataFrame_elevation_cleaned = dataFrame_elevation.drop(['version',
                                                        'source_type'], axis=1)

print('-----ObjectInfo-----')
print(dataFrame_elevation_cleaned.info())

squeezer44

# --------------------------
# Imports
import os
from gpx_converter import Converter


# -----Step 1
# Read the file
# Construct Filepath of gpx-tracking data
file_gpx = '2021-09-25_07-47-12-UTC_be9e18af-b133-4469-9058-45386372d3ce.gpx'

squeezer44

# --------------------------
# Imports
import matplotlib.pyplot as plt


print('-----Visualize all Trackingpoints-----')
plt.plot(dataFrame_gpx['longitude'], dataFrame_gpx['latitude'])

squeezer44

# ----------------------------
# Imports
import os
import gpxpy.gpx
import pandas as pd
import numpy as np
from gpx_converter import Converter
from geopy import distance
import matplotlib.pyplot as plt
import plotly.express as px

squeezer44

# ----------------------------
# Read, analyze and convert gpx-data
gpx_file = open(path_gpx, 'r')          # read
gpx_data = gpxpy.parse(gpx_file)
gpx_file.close()
gpx_tracks = gpx_data.tracks
gpx_segments = gpx_data.tracks[0].segments
gpx_points = gpx_data.tracks[0].segments[0].points

# ----------------------------

squeezer44

print(gpx_df.info())