Project Twitch Matplotlib Visualization

 import codecademylib3_seaborn

from matplotlib import pyplot as plt
import numpy as np
import pandas as pd

# Bar Graph: Featured Games


games = ["LoL", "Dota 2", "CS:GO", "DayZ", "HOS", "Isaac", "Shows", "Hearth", "WoT", "Agar.io"]

viewers =  [1070, 472, 302, 239, 210, 171, 170, 90, 86, 71]
#plt.bar(range(len(games)),viewers,color='pink')
plt.title('Viewers Per Game')
plt.xlabel('Game')
plt.ylabel('No of Viewers')
ax = plt.subplot()
ax.set_xticks([0,1,2,3,4,5,6,7,8,9,10])
ax.set_xticklabels(games, rotation=30)
#plt.show()

# Pie Chart: League of Legends Viewers' Whereabouts


labels = ["US", "DE", "CA", "N/A", "GB", "TR", "BR", "DK", "PL", "BE", "NL", "Others"]

countries = [447, 66, 64, 49, 45, 28, 25, 20, 19, 17, 17, 279]
colors = ['lightskyblue', 'gold', 'lightcoral', 'gainsboro', 'royalblue', 'lightpink', 'darkseagreen', 'sienna', 'khaki', 'gold', 'violet', 'yellowgreen']
explode = (0.1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0)
#plt.pie(countries,colors = colors, shadow=True, startangle=345, autopct='%1.0f%%', pctdistance=1.15)
plt.title("League of Legends Viewers' Whereabouts")
plt.legend(labels, loc="right")
#plt.show()

# Line Graph: Time Series Analysis

hour = range(24)

viewers_hour = [30, 17, 34, 29, 19, 14, 3, 2, 4, 9, 5, 48, 62, 58, 40, 51, 69, 55, 76, 81, 102, 120, 71, 63]

plt.plot(hour,viewers_hour)
plt.title('Viewers Per Hour')
plt.legend(['2015-01-01'])

plt.xlabel("Hour")
plt.ylabel("Viewers")

ax = plt.subplot()

ax.set_xticks(hour)
ax.set_yticks([0, 20, 40, 60, 80, 100, 120])
y_upper = [i + (i*0.15) for i in viewers_hour]
y_lower = [i - (i*0.15) for i in viewers_hour]
plt.fill_between(hour, y_lower, y_upper, alpha=0.2)
plt.show()


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