Grid Charts

Today I finished up the DataQuest "Panda Visualizations and Grid Charts" module in Part 2. Here is an example of what I learned:

import pandas as pd
import matplotlib.pyplot as plt

traffic = pd.read_csv('traffic_sao_paulo.csv', sep=';')
traffic['Slowness in traffic (%)'] = traffic['Slowness in traffic (%)'].str.replace(',', '.')
traffic['Slowness in traffic (%)'] = traffic['Slowness in traffic (%)'].astype(float)

days = ['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday']
traffic_per_day = {}
for i, day in zip(range(0, 135, 27), days):
    each_day_traffic = traffic[i:i+27]
    traffic_per_day[day] = each_day_traffic
    
plt.figure(figsize=(10,12))

for i, day in zip(range(1,6), days):
    plt.subplot(3, 2, i)
    plt.plot(traffic_per_day[day]['Hour (Coded)'],
        traffic_per_day[day]['Slowness in traffic (%)'])
    plt.title(day)
    plt.ylim([0,25])
    
    
plt.subplot(3,2,6)
for day in days:
    plt.plot(traffic_per_day[day]["Hour (Coded)"],traffic_per_day[day]["Slowness in traffic (%)"], label=day)
    plt.xlabel("Hour (Coded)")
    plt.ylabel("Slowness in traffic (%)")
    plt.ylim([0,25])
    
plt.legend()
plt.show()

Output: