175 líneas
5,3 KiB
Python
175 líneas
5,3 KiB
Python
import matplotlib.pyplot as plt
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import matplotlib.dates as mdates
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from matplotlib.ticker import FormatStrFormatter, StrMethodFormatter
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import numpy as np
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import pandas as pd
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import pdb
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SMALL_SIZE = 6
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MEDIUM_SIZE = 10
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BIGGER_SIZE = 12
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plt.rc('font', size=MEDIUM_SIZE) # controls default text sizes
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plt.rc('axes', titlesize=MEDIUM_SIZE) # fontsize of the axes title
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plt.rc('axes', labelsize=MEDIUM_SIZE) # fontsize of the x and y labels
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plt.rc('xtick', labelsize=SMALL_SIZE) # fontsize of the tick labels
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plt.rc('ytick', labelsize=MEDIUM_SIZE) # fontsize of the tick labels
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plt.rc('legend', fontsize=MEDIUM_SIZE) # legend fontsize
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plt.rc('figure', titlesize=BIGGER_SIZE) # fontsize of the figure title
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plt.style.use('seaborn-v0_8-dark')
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mdates.set_epoch('2000-01-01T00:00:00')
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class Graphit():
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name = 'fediverse data graph library'
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def __init__(self, servers=None, servers_max=None, users=None, users_max=None, mau=None, mau_max=None, global_day=None, global_servers=None, global_users=None, global_mau=None):
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self.servers = servers
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self.servers_max = servers_max
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self.users = users
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self.users_max = users_max
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self.mau = mau
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self.mau_max = mau_max
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self.global_day = global_day
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self.global_servers = global_servers
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self.global_users = global_users
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self.global_mau = global_mau
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def graph(self):
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# generate graphs
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plt.plot([-6, -5, -4, -3, -2, -1, 0], [self.servers[6], self.servers[5], self.servers[4], self.servers[3], self.servers[2], self.servers[1], self.servers[0]], marker='o', color='mediumseagreen')
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plt.plot([-6, -5, -4, -3, -2, -1, 0], [self.servers_max, self.servers_max, self.servers_max, self.servers_max, self.servers_max, self.servers_max, self.servers_max], color='red')
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plt.title('fediverse: total alive servers (max: ' + str(f"{self.servers_max:,}" + ')'), loc='right', color='blue')
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plt.xlabel('Last seven days')
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plt.ylabel('fediverse alive servers')
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plt.grid(visible=True)
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plt.legend(('servers', 'max'), shadow=True, loc=(0.01, 1.00), handlelength=1.5, fontsize=10)
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plt.savefig('servers.png')
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plt.close()
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plt.plot([-6, -5, -4, -3, -2, -1, 0], [self.users[6], self.users[5], self.users[4], self.users[3], self.users[2], self.users[1], self.users[0]], marker='o', color='royalblue')
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plt.plot([-6, -5, -4, -3, -2, -1, 0], [self.users_max, self.users_max, self.users_max, self.users_max, self.users_max, self.users_max, self.users_max], color='red')
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plt.title('fediverse: total users (max: ' + str(f"{self.users_max:,}" + ')'), loc='right', color='royalblue')
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plt.legend(('users', 'max'), shadow=True, loc=(0.01, 0.80), handlelength=1.5, fontsize=10)
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plt.xlabel('Last seven days')
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plt.ylabel('users')
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plt.grid(visible=True)
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plt.savefig('users.png')
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plt.close()
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plt.plot([-6, -5, -4, -3, -2, -1, 0], [self.mau[6], self.mau[5], self.mau[4], self.mau[3], self.mau[2], self.mau[1], self.mau[0]], marker='o', color='royalblue')
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plt.plot([-6, -5, -4, -3, -2, -1, 0], [self.mau_max, self.mau_max, self.mau_max, self.mau_max, self.mau_max, self.mau_max, self.mau_max], color='red')
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plt.title('fediverse: total MAU (max: ' + str(f"{self.mau_max:,}" + ')'), loc='right', color='royalblue')
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plt.legend(('mau', 'max'), shadow=True, loc=(0.01, 0.80), handlelength=1.5, fontsize=10)
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plt.xlabel('Last seven days')
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plt.ylabel('MAU')
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plt.grid(visible=True)
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plt.savefig('mau.png')
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plt.close()
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def generate(self):
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df = pd.DataFrame(
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{'date': np.array(self.global_day),
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'servers': np.array(self.global_servers),
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'users': np.array(self.global_users),
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'mau': np.array(self.global_mau)})
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df['date'] = pd.to_datetime(df['date'])
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# servers
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fig, ax = plt.subplots()
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server_min = 0
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ax.fill_between(df.date, server_min, df.servers, alpha=0.7, label='Registered', color='darkgreen')
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ax.yaxis.set_major_formatter(StrMethodFormatter('{x:,.0f}'))
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plt.tick_params(rotation=45)
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ax.set_title("fediverse's total servers")
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ax.set_xlabel('date')
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ax.set_ylabel('servers')
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ax.grid(visible=True)
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ax.label_outer()
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plt.savefig('app/graphs/global_servers.png')
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# users
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fig, ax = plt.subplots()
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users_min = 0
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ax.fill_between(df.date, users_min, df.users, alpha=0.7, label='Registered', color='blue')
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ax.yaxis.set_major_formatter(StrMethodFormatter('{x:,.0f}'))
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plt.tick_params(rotation=45)
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ax.set_title("fediverse's registered users")
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ax.set_xlabel('date')
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ax.set_ylabel('users')
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ax.grid(visible=True)
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plt.savefig('app/graphs/global_users.png')
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# mau
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fig, ax = plt.subplots()
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ax.plot(df.date, df.mau, label='MAU', color='blue')
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ax.yaxis.set_major_formatter(StrMethodFormatter('{x:,.0f}'))
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plt.tick_params(rotation=45)
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ax.set_title("fediverse's Monthly Active Users")
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ax.set_xlabel('date')
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ax.set_ylabel('users')
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ax.grid(visible=True)
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plt.savefig('app/graphs/global_mau.png')
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plt.close()
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