Created
December 5, 2021 05:20
-
-
Save Chandler/57731f999736b6f09b18f406f4fae07f to your computer and use it in GitHub Desktop.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import matplotlib.pyplot as plt | |
import csv | |
import datetime | |
import pandas as pd | |
from matplotlib.colors import ListedColormap | |
# from lyft data download | |
ebikes_path = "lyft_bike_scooters.csv" | |
cars_path = "passenger_rides.csv" | |
# from strava data download | |
strava_path = "activities.csv" | |
def strava_date_conversion(date): | |
return datetime.datetime.strptime(date,'%b %d, %Y, %I:%M:%S %p').strftime("%Y-%m-%d %H:%M:%S UTC") | |
with open(cars_path) as fp: | |
reader = csv.reader(fp, delimiter=",", quotechar='"') | |
next(reader) #skip first line | |
car_dates = [(row[1],'A: Lyft Car') for row in reader] | |
with open(ebikes_path) as fp: | |
reader = csv.reader(fp, delimiter=",", quotechar='"') | |
next(reader) #skip first line | |
ebike_dates = [(row[3],'C: Lyft eBike') for row in reader] | |
with open(strava_path) as fp: | |
reader = csv.reader(fp, delimiter=",", quotechar='"') | |
next(reader) #skip first line | |
strava_dates = [(strava_date_conversion(row[1]),'B: My Bike (Strava)') for row in reader] | |
df = pd.DataFrame(ebike_dates + car_dates + strava_dates, columns=['date', 'mode']) | |
df.date = pd.to_datetime(df.date) | |
pd.crosstab(df.date.dt.to_period('Y'),df["mode"]).plot.bar( | |
colormap=ListedColormap(['#8FBFE0', '#7C77B9', '#1D8A99']), | |
stacked=True, | |
xlabel="Year", | |
ylabel='Rides' | |
) | |
plt.show() |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment