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gpx2html: Add presentation of last 14 days

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Signed-off-by: Thomas Klaehn <thomas.klaehn@u-blox.com>
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Thomas Klaehn
2018-05-29 14:48:55 +02:00
parent a5f7471548
commit dbae0584c4
1 changed files with 69 additions and 4 deletions
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gpx2html
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@@ -9,6 +9,8 @@ matplotlib.use('Agg')
import matplotlib.pyplot as plt
import numpy
import os
import pandas as pd
import collections
MONTH_LABELS = ['jan', 'feb', 'mar', 'apr', 'may', 'jun', 'jul', 'aug', 'sep', 'oct', 'nov', 'dec']
@@ -20,24 +22,32 @@ def parse_args():
return parser.parse_args()
def plot_bar_chart(labels, ticklabels, values, title, xlabel, ylabel, filename):
def plot_bar_chart(labels, ticklabels, values, title, xlabel, ylabel, filename, xtick_rotation=0):
fig = plt.figure()
ax1 = fig.add_subplot(111)
ax1.grid(zorder=0)
ax1.spines["top"].set_visible(False)
ax1.spines["bottom"].set_visible(False)
ax1.spines["left"].set_visible(False)
ax1.spines["right"].set_visible(False)
plt.title(title)
plt.xlabel(xlabel)
plt.ylabel(ylabel)
width = 1.0 / len(values) - 0.025
x_base = numpy.arange(12)
width = 1.0 / len(values) - 0.03
x_base = numpy.arange(len(ticklabels))
x_pos = list()
for i in range(len(values)):
x_pos.append([x + (width / 2) + i * width for x in range(len(x_base))])
plt.bar(x_pos[i], values[i], width=width, label=labels[i], zorder=2)
plt.xticks(x_base, ticklabels)
plt.xticks(x_base, ticklabels, rotation=xtick_rotation)
# Tweak spacing to prevent clipping of tick-labels
plt.subplots_adjust(bottom=0.2)
plt.legend()
plt.savefig(filename)
@@ -77,6 +87,60 @@ def main():
avg_file_name = 'avg_spd.png'
plot_bar_chart(years, MONTH_LABELS, years_avg_spd, 'Average Speed', 'Month', 'km/h', os.path.join(out_folder, avg_file_name))
# last n days
n = 14
end_date = datetime.date.today()
start_date = end_date - datetime.timedelta(days=n)
dates = pd.date_range(start_date, end_date)
date_distance = dict()
date_duration = dict()
date_avg_spd = dict()
for date in dates:
date_str = "{0:04d}-{1:02d}-{2:02d}".format(date.year, date.month, date.day)
date_tracks = tracks.get(date.year, date.month, date.day)
for track in date_tracks:
try:
current_dist = date_distance[date_str]
current_duration = date_duration[date_str]
except KeyError:
current_dist = 0
current_duration = 0
current_dist += track.distance / 1000
date_distance.update({date_str:current_dist})
current_duration += track.duration.total_seconds() / 3600
date_duration.update({date_str:current_duration})
# check for empty dates
try:
current_dist = date_distance[date_str]
current_duration = date_duration[date_str]
except KeyError:
date_distance.update({date_str:0})
date_duration.update({date_str:0})
date_duration = collections.OrderedDict(sorted(date_duration.items()))
for key, value in date_duration.items():
if value == 0:
date_avg_spd.update({key:0})
else:
avg_spd = date_distance[key] / value
date_avg_spd.update({key:avg_spd})
date_avg_spd = collections.OrderedDict(sorted(date_avg_spd.items()))
date_distance = collections.OrderedDict(sorted(date_distance.items()))
dst_n_file_name = "distance_last_{}_days.png".format(n)
plot_bar_chart(["Distance", "Average speed"],
date_distance.keys(),
[date_distance.values(), date_avg_spd.values()],
'Last {} days'.format(n),
'Date',
'km, km/h',
os.path.join(out_folder, dst_n_file_name),
90)
html_file = os.path.join(out_folder, 'index.html')
with open(html_file, 'w') as handle:
handle.write('<!DOCTYPE html>\n')
@@ -115,6 +179,7 @@ def main():
handle.write('<p>\n')
handle.write('<IMG SRC="{}" ALT="Distance">\n'.format(dst_file_name))
handle.write('<IMG SRC="{}" ALT="Distance">\n'.format(avg_file_name))
handle.write('<IMG SRC="{}" ALT="Distance">\n'.format(dst_n_file_name))
handle.write('</p>\n')
handle.write('</body>\n')