使用Matplotlib绘制动画股票的价格

时间:2020-02-27 17:44:38

标签: python matplotlib animation

我正在尝试使用Matplotlib为时间序列图制作动画,但该图总是空白。我在下面附加了我的代码。任何帮助将不胜感激

import yfinance as yf
from matplotlib.animation import FuncAnimation
import matplotlib.pyplot as plt

# loading the data
indices = ["^GSPC","TLT", ]
data = yf.download(indices,start='2020-01-01')
data = data['Adj Close']
inv_growth = (data.pct_change().dropna() + 1).cumprod()

# plotting the data

fig, ax = plt.subplots()

ax.set_xlim(inv_growth.index[0], inv_growth.index[-1])
ax.set_ylim(940, 1100)

line, = ax.plot(inv_growth.index[0], 1000)

x_data = []
y_data = []

def animation_frame(date):
    x_data.append(date)
    y_data.append(inv_growth.loc[date])
    
    line.set_xdata(x_data)
    line.set_ydata(y_data)
    
    return line,

animation = FuncAnimation(fig, 
                          func=animation_frame, 
                          frames=list(inv_growth.index), 
                          interval = 100)
plt.show()

1 个答案:

答案 0 :(得分:2)

您的问题是,您试图同时绘制两个值。如果需要两行,则必须创建两行并更新其各自的数据。 这是代码的稍微简化的版本(而且,您的y比例似乎降低了1000倍)。

import yfinance as yf
from matplotlib.animation import FuncAnimation
import matplotlib.pyplot as plt

# loading the data
indices = ["^GSPC","TLT", ]
data = yf.download(indices,start='2020-01-01')
data = data['Adj Close']
inv_growth = (data.pct_change().dropna() + 1).cumprod()

# plotting the data

fig, ax = plt.subplots()

ax.set_xlim(inv_growth.index[0], inv_growth.index[-1])
ax.set_ylim(0.940, 1.100)

line1, = ax.plot([], [])
line2, = ax.plot([], [])


def animation_frame(i):
    temp = inv_growth.iloc[:i]
    line1.set_data(temp.index, temp[0])
    line2.set_data(temp.index, temp[1])

    return line1,line2,

animation = FuncAnimation(fig, 
                          func=animation_frame, 
                          frames=range(inv_growth.index.size),
                          interval = 100)
plt.show()