from matplotlib import pyplot as plt
  
x = []
y = []
  
for i in range(100):
    x.append(i)
    y.append(i)
  
    # 提及 x 和 y 限制以定義其范圍
    plt.xlim(0, 100)
    plt.ylim(0, 100)
      
    # 繪制圖形
    plt.plot(x, y, color = 'green')
    plt.pause(0.01)
  
plt.show()

from matplotlib import pyplot as plt
from matplotlib.animation import FuncAnimation
import numpy as np
  
x = []
y = []
  
figure, ax = plt.subplots()
  
# 設(shè)置 x 和 y 軸的限制
ax.set_xlim(0, 100)
ax.set_ylim(0, 12)
  
# 繪制單個(gè)圖形
line,  = ax.plot(0, 0) 
  
def animation_function(i):
    x.append(i * 15)
    y.append(i)
  
    line.set_xdata(x)
    line.set_ydata(y)
    return line,
  
animation = FuncAnimation(figure,
                          func = animation_function,
                          frames = np.arange(0, 10, 0.1), 
                          interval = 10)
plt.show()

from matplotlib import pyplot as plt
from matplotlib.animation import FuncAnimation, writers
import numpy as np

plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']  
fig = plt.figure(figsize = (7,5))
axes = fig.add_subplot(1,1,1)
axes.set_ylim(0, 300)
palette = ['blue', 'red', 'green',
		'darkorange', 'maroon', 'black']

y1, y2, y3, y4, y5, y6 = [], [], [], [], [], []

def animation_function(i):
	y1 = i
	y2 = 6 * i
	y3 = 3 * i
	y4 = 2 * i
	y5 = 5 * i
	y6 = 3 * i

	plt.xlabel("國(guó)家")
	plt.ylabel("國(guó)家GDP")
	
	plt.bar(["印度", "中國(guó)", "德國(guó)",
			"美國(guó)", "加拿大", "英國(guó)"],
			[y1, y2, y3, y4, y5, y6],
			color = palette)

plt.title("條形圖動(dòng)畫")

animation = FuncAnimation(fig, animation_function,
						interval = 50)
plt.show()

from matplotlib import pyplot as plt
from matplotlib.animation import FuncAnimation
import random
import numpy as np

x = []
y = []
colors = []
fig = plt.figure(figsize=(7,5))

def animation_func(i):
	x.append(random.randint(0,100))
	y.append(random.randint(0,100))
	colors.append(np.random.rand(1))
	area = random.randint(0,30) * random.randint(0,30)
	plt.xlim(0,100)
	plt.ylim(0,100)
	plt.scatter(x, y, c = colors, s = area, alpha = 0.5)

animation = FuncAnimation(fig, animation_func,
						interval = 100)
plt.show()

import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.ticker as ticker
from matplotlib.animation import FuncAnimation
  
plt.rcParams['font.sans-serif'] = ['Microsoft YaHei']  
df = pd.read_csv('city_populations.csv',
                 usecols=['name', 'group', 'year', 'value'])
  
colors = dict(zip(['India','Europe','Asia',
                   'Latin America','Middle East',
                   'North America','Africa'],
                    ['#adb0ff', '#ffb3ff', '#90d595',
                     '#e48381', '#aafbff', '#f7bb5f', 
                     '#eafb50']))
  
group_lk = df.set_index('name')['group'].to_dict()
  
def draw_barchart(year):
    dff = df[df['year'].eq(year)].sort_values(by='value',
                                              ascending=True).tail(10)
    ax.clear()
    ax.barh(dff['name'], dff['value'],
            color=[colors[group_lk[x]] for x in dff['name']])
    dx = dff['value'].max() / 200
      
    for i, (value, name) in enumerate(zip(dff['value'],
                                          dff['name'])):
        ax.text(value-dx, i,     name,           
                size=14, weight=600,
                ha='right', va='bottom')
        ax.text(value-dx, i-.25, group_lk[name],
                size=10, color='#444444', 
                ha='right', va='baseline')
        ax.text(value+dx, i,     f'{value:,.0f}', 
                size=14, ha='left',  va='center')
         
    ax.text(1, 0.4, year, transform=ax.transAxes, 
            color='#777777', size=46, ha='right',
            weight=800)
    ax.text(0, 1.06, 'Population (thousands)',
            transform=ax.transAxes, size=12,
            color='#777777')
      
    ax.xaxis.set_major_formatter(ticker.StrMethodFormatter('{x:,.0f}'))
    ax.xaxis.set_ticks_position('top')
    ax.tick_params(axis='x', colors='#777777', labelsize=12)
    ax.set_yticks([])
    ax.margins(0, 0.01)
    ax.grid(which='major', axis='x', linestyle='-')
    ax.set_axisbelow(True)
    ax.text(0, 1.12, '從 1500 年到 2018 年世界上人口最多的城市',
            transform=ax.transAxes, size=24, weight=600, ha='left')
      
    ax.text(1, 0, 'by haiyong.site | 海擁', 
            transform=ax.transAxes, ha='right', color='#777777', 
            bbox=dict(facecolor='white', alpha=0.8, edgecolor='white'))
    plt.box(False)
    plt.show()
  
fig, ax = plt.subplots(figsize=(15, 8))
animator = FuncAnimation(fig, draw_barchart, 
                         frames = range(1990, 2019))
plt.show()