{"id":1055924,"date":"2024-12-31T14:55:12","date_gmt":"2024-12-31T06:55:12","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1055924.html"},"modified":"2024-12-31T14:55:14","modified_gmt":"2024-12-31T06:55:14","slug":"python%e5%a6%82%e4%bd%95%e7%94%bb%e6%96%90%e6%b3%a2%e6%8b%89%e5%88%87%e5%9b%be","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1055924.html","title":{"rendered":"python\u5982\u4f55\u753b\u6590\u6ce2\u62c9\u5207\u56fe"},"content":{"rendered":"

\"python\u5982\u4f55\u753b\u6590\u6ce2\u62c9\u5207\u56fe\"<\/p>\n

\u4e00\u3001\u4f7f\u7528Python\u7ed8\u5236\u6590\u6ce2\u90a3\u5951\u56fe<\/strong><\/p>\n<\/p>\n

\u4f7f\u7528Python\u7ed8\u5236\u6590\u6ce2\u90a3\u5951\u56fe\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u5f0f\u6765\u5b9e\u73b0\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528Matplotlib\u5e93\u3001Turtle\u5e93\u3001\u4ee5\u53caPlotly\u5e93<\/strong>\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u7ed8\u56fe\u529f\u80fd\uff0c\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u5b9e\u73b0\u4e0d\u540c\u7684\u89c6\u89c9\u6548\u679c\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u5c06\u91cd\u70b9\u4ecb\u7ecd\u4f7f\u7528Matplotlib\u5e93\u7ed8\u5236\u6590\u6ce2\u90a3\u5951\u87ba\u65cb\u56fe\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

Matplotlib\u5e93\u662fPython\u4e2d\u975e\u5e38\u6d41\u884c\u7684\u7ed8\u56fe\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u7ed8\u56fe\u529f\u80fd\uff0c\u9002\u7528\u4e8e\u751f\u6210\u5404\u79cd\u7c7b\u578b\u7684\u56fe\u8868\u3002\u4f7f\u7528Matplotlib\u5e93\u7ed8\u5236\u6590\u6ce2\u90a3\u5951\u87ba\u65cb\u56fe\u975e\u5e38\u76f4\u89c2\u4e14\u7b80\u5355\u3002<\/strong><\/p>\n<\/p>\n

1\u3001\u5b89\u88c5\u548c\u5bfc\u5165\u5fc5\u8981\u7684\u5e93<\/strong><\/p>\n<\/p>\n

\u5728\u5f00\u59cb\u7ed8\u5236\u6590\u6ce2\u90a3\u5951\u56fe\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5\u5e76\u5bfc\u5165\u5fc5\u8981\u7684\u5e93\u3002\u4e3b\u8981\u4f7f\u7528\u7684\u5e93\u662fMatplotlib\u548cNumpy\u3002\u4f60\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u8fd9\u4e9b\u5e93\uff1a<\/p>\n<\/p>\n

pip install matplotlib numpy<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u5728Python\u4ee3\u7801\u4e2d\u5bfc\u5165\u8fd9\u4e9b\u5e93\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import numpy as np<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u751f\u6210\u6590\u6ce2\u90a3\u5951\u6570\u5217<\/strong><\/p>\n<\/p>\n
\u6590\u6ce2\u90a3\u5951\u6570\u5217\u662f\u4e00\u4e2a\u4ece0\u548c1\u5f00\u59cb\u7684\u6570\u5217\uff0c\u540e\u7eed\u7684\u6bcf\u4e00\u9879\u90fd\u662f\u524d\u4e24\u9879\u7684\u548c\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4e00\u4e2a\u7b80\u5355\u7684\u51fd\u6570\u6765\u751f\u6210\u6590\u6ce2\u90a3\u5951\u6570\u5217\uff1a<\/p>\n<\/p>\n
def generate_fibonacci_sequence(n):<\/p>\n
    sequence = [0, 1]<\/p>\n
    for i in range(2, n):<\/p>\n
        next_number = sequence[-1] + sequence[-2]<\/p>\n
        sequence.append(next_number)<\/p>\n
    return sequence<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u51fd\u6570\u4e2d\uff0c\u6211\u4eec\u4ece[0, 1]\u5f00\u59cb\u751f\u6210\u6570\u5217\uff0c\u5e76\u4f7f\u7528\u5faa\u73af\u6765\u751f\u6210\u540e\u7eed\u7684\u6570\u503c\u3002<\/p>\n<\/p>\n
3\u3001\u7ed8\u5236\u6590\u6ce2\u90a3\u5951\u87ba\u65cb\u56fe<\/strong><\/p>\n<\/p>\n
\u6709\u4e86\u6590\u6ce2\u90a3\u5951\u6570\u5217\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Matplotlib\u5e93\u6765\u7ed8\u5236\u6590\u6ce2\u90a3\u5951\u87ba\u65cb\u56fe\u3002\u5177\u4f53\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
def plot_fibonacci_spiral(n):<\/p>\n
    fibonacci_sequence = generate_fibonacci_sequence(n)<\/p>\n
    plt.figure(figsize=(10, 10))<\/p>\n
    ax = plt.gca()<\/p>\n
    x, y = 0, 0<\/p>\n
    angle = 0<\/p>\n
    for i in range(n):<\/p>\n
        width = fibonacci_sequence[i]<\/p>\n
        height = fibonacci_sequence[i]<\/p>\n
        if i % 4 == 0:<\/p>\n
            x_offset, y_offset = width, 0<\/p>\n
        elif i % 4 == 1:<\/p>\n
            x_offset, y_offset = 0, height<\/p>\n
        elif i % 4 == 2:<\/p>\n
            x_offset, y_offset = -width, 0<\/p>\n
        else:<\/p>\n
            x_offset, y_offset = 0, -height<\/p>\n
        rect = plt.Rectangle((x, y), width, height, fill=None, edgecolor='black')<\/p>\n
        ax.add_patch(rect)<\/p>\n
        x += x_offset<\/p>\n
        y += y_offset<\/p>\n
        angle += 90<\/p>\n
    plt.xlim(-fibonacci_sequence[-1], fibonacci_sequence[-1])<\/p>\n
    plt.ylim(-fibonacci_sequence[-1], fibonacci_sequence[-1])<\/p>\n
    plt.gca().set_aspect('equal', adjustable='box')<\/p>\n
    plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u51fd\u6570\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u751f\u6210\u6590\u6ce2\u90a3\u5951\u6570\u5217\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528\u5faa\u73af\u6765\u7ed8\u5236\u6bcf\u4e00\u4e2a\u77e9\u5f62\uff0c\u5e76\u8c03\u6574\u5b83\u4eec\u7684\u4f4d\u7f6e\u548c\u65b9\u5411\u3002\u6700\u540e\uff0c\u6211\u4eec\u8bbe\u7f6e\u56fe\u8868\u7684\u8303\u56f4\uff0c\u5e76\u663e\u793a\u56fe\u8868\u3002<\/p>\n<\/p>\n
4\u3001\u8fd0\u884c\u4ee3\u7801<\/strong><\/p>\n<\/p>\n
\u6700\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u8c03\u7528\u4e0a\u8ff0\u51fd\u6570\u6765\u7ed8\u5236\u6590\u6ce2\u90a3\u5951\u87ba\u65cb\u56fe\uff1a<\/p>\n<\/p>\n
plot_fibonacci_spiral(10)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u4e2a\u793a\u4f8b\u4ee3\u7801\u5c06\u751f\u6210\u4e00\u4e2a\u5305\u542b\u524d10\u4e2a\u6590\u6ce2\u90a3\u5951\u6570\u7684\u87ba\u65cb\u56fe\u3002\u4f60\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8c03\u6574\u53c2\u6570\u4ee5\u751f\u6210\u4e0d\u540c\u7684\u56fe\u5f62\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528Turtle\u5e93\u7ed8\u5236\u6590\u6ce2\u90a3\u5951\u56fe<\/strong><\/p>\n<\/p>\n
\u9664\u4e86Matplotlib\u5e93\u4e4b\u5916\uff0c\u6211\u4eec\u8fd8\u53ef\u4ee5\u4f7f\u7528Python\u7684Turtle\u5e93\u6765\u7ed8\u5236\u6590\u6ce2\u90a3\u5951\u56fe\u3002Turtle\u5e93\u63d0\u4f9b\u4e86\u4e00\u79cd\u7c7b\u4f3c\u4e8e\u753b\u56fe\u677f\u7684\u7ed8\u56fe\u65b9\u5f0f\uff0c\u975e\u5e38\u9002\u5408\u751f\u6210\u87ba\u65cb\u56fe\u548c\u5176\u4ed6\u51e0\u4f55\u56fe\u5f62\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5\u548c\u5bfc\u5165Turtle\u5e93<\/strong><\/p>\n<\/p>\n
Turtle\u5e93\u901a\u5e38\u662fPython\u6807\u51c6\u5e93\u7684\u4e00\u90e8\u5206\uff0c\u56e0\u6b64\u65e0\u9700\u989d\u5916\u5b89\u88c5\u3002\u6211\u4eec\u53ef\u4ee5\u76f4\u63a5\u5728\u4ee3\u7801\u4e2d\u5bfc\u5165\u5b83\uff1a<\/p>\n<\/p>\n
import turtle<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bbe\u7f6eTurtle\u7ed8\u56fe\u73af\u5883<\/strong><\/p>\n<\/p>\n
\u5728\u5f00\u59cb\u7ed8\u56fe\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u8bbe\u7f6eTurtle\u7684\u7ed8\u56fe\u73af\u5883\uff0c\u5305\u62ec\u7a97\u53e3\u5927\u5c0f\u3001\u80cc\u666f\u989c\u8272\u7b49\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u8bbe\u7f6e\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
screen = turtle.Screen()<\/p>\n
screen.setup(800, 800)<\/p>\n
screen.bgcolor("white")<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u7ed8\u5236\u6590\u6ce2\u90a3\u5951\u87ba\u65cb\u56fe<\/strong><\/p>\n<\/p>\n
\u4f7f\u7528Turtle\u5e93\u7ed8\u5236\u6590\u6ce2\u90a3\u5951\u87ba\u65cb\u56fe\u7684\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
def draw_fibonacci_spiral(n):<\/p>\n
    fibonacci_sequence = generate_fibonacci_sequence(n)<\/p>\n
    turtle.speed(1)<\/p>\n
    turtle.penup()<\/p>\n
    turtle.goto(0, 0)<\/p>\n
    turtle.pendown()<\/p>\n
    for i in range(n):<\/p>\n
        turtle.forward(fibonacci_sequence[i] * 10)<\/p>\n
        turtle.left(90)<\/p>\n
    turtle.done()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u51fd\u6570\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u751f\u6210\u6590\u6ce2\u90a3\u5951\u6570\u5217\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528Turtle\u5e93\u7684\u57fa\u672c\u7ed8\u56fe\u51fd\u6570\u6765\u7ed8\u5236\u87ba\u65cb\u56fe\u3002\u6bcf\u4e00\u6b65\u7684\u957f\u5ea6\u7531\u6590\u6ce2\u90a3\u5951\u6570\u5217\u51b3\u5b9a\uff0c\u5e76\u4e14\u5728\u6bcf\u4e00\u6b65\u4e4b\u540e\u6211\u4eec\u5411\u5de6\u8f6c90\u5ea6\u3002<\/p>\n<\/p>\n
4\u3001\u8fd0\u884c\u4ee3\u7801<\/strong><\/p>\n<\/p>\n
\u6700\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u8c03\u7528\u4e0a\u8ff0\u51fd\u6570\u6765\u7ed8\u5236\u6590\u6ce2\u90a3\u5951\u87ba\u65cb\u56fe\uff1a<\/p>\n<\/p>\n
draw_fibonacci_spiral(10)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u4e2a\u793a\u4f8b\u4ee3\u7801\u5c06\u751f\u6210\u4e00\u4e2a\u5305\u542b\u524d10\u4e2a\u6590\u6ce2\u90a3\u5951\u6570\u7684\u87ba\u65cb\u56fe\u3002\u4f60\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8c03\u6574\u53c2\u6570\u4ee5\u751f\u6210\u4e0d\u540c\u7684\u56fe\u5f62\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528Plotly\u5e93\u7ed8\u5236\u6590\u6ce2\u90a3\u5951\u56fe<\/strong><\/p>\n<\/p>\n
Plotly\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u7ed8\u56fe\u5e93\uff0c\u9002\u7528\u4e8e\u751f\u6210\u4ea4\u4e92\u5f0f\u56fe\u8868\u3002\u4f7f\u7528Plotly\u5e93\u7ed8\u5236\u6590\u6ce2\u90a3\u5951\u56fe\u53ef\u4ee5\u751f\u6210\u66f4\u52a0\u751f\u52a8\u548c\u4ea4\u4e92\u7684\u56fe\u5f62\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5\u548c\u5bfc\u5165Plotly\u5e93<\/strong><\/p>\n<\/p>\n
\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u5b89\u88c5Plotly\u5e93\uff1a<\/p>\n<\/p>\n
pip install plotly<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u5728\u4ee3\u7801\u4e2d\u5bfc\u5165Plotly\u5e93\uff1a<\/p>\n<\/p>\n
import plotly.graph_objects as go<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u751f\u6210\u6590\u6ce2\u90a3\u5951\u87ba\u65cb\u56fe\u7684\u6570\u636e<\/strong><\/p>\n<\/p>\n
\u4e0e\u4e4b\u524d\u7684\u65b9\u6cd5\u7c7b\u4f3c\uff0c\u6211\u4eec\u9700\u8981\u751f\u6210\u6590\u6ce2\u90a3\u5951\u6570\u5217\u5e76\u8ba1\u7b97\u87ba\u65cb\u56fe\u7684\u6570\u636e\u70b9\uff1a<\/p>\n<\/p>\n
def generate_fibonacci_spiral_data(n):<\/p>\n
    fibonacci_sequence = generate_fibonacci_sequence(n)<\/p>\n
    x, y = [0], [0]<\/p>\n
    angle = 0<\/p>\n
    for i in range(n):<\/p>\n
        length = fibonacci_sequence[i]<\/p>\n
        if i % 4 == 0:<\/p>\n
            x.append(x[-1] + length)<\/p>\n
            y.append(y[-1])<\/p>\n
        elif i % 4 == 1:<\/p>\n
            x.append(x[-1])<\/p>\n
            y.append(y[-1] + length)<\/p>\n
        elif i % 4 == 2:<\/p>\n
            x.append(x[-1] - length)<\/p>\n
            y.append(y[-1])<\/p>\n
        else:<\/p>\n
            x.append(x[-1])<\/p>\n
            y.append(y[-1] - length)<\/p>\n
        angle += 90<\/p>\n
    return x, y<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u7ed8\u5236\u6590\u6ce2\u90a3\u5951\u87ba\u65cb\u56fe<\/strong><\/p>\n<\/p>\n
\u4f7f\u7528Plotly\u5e93\u7ed8\u5236\u6590\u6ce2\u90a3\u5951\u87ba\u65cb\u56fe\u7684\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
def plot_fibonacci_spiral_plotly(n):<\/p>\n
    x, y = generate_fibonacci_spiral_data(n)<\/p>\n
    fig = go.Figure()<\/p>\n
    fig.add_trace(go.Scatter(x=x, y=y, mode='lines', name='Fibonacci Spiral'))<\/p>\n
    fig.update_layout(title='Fibonacci Spiral',<\/p>\n
                      xaxis_title='X Axis',<\/p>\n
                      yaxis_title='Y Axis',<\/p>\n
                      width=800,<\/p>\n
                      height=800)<\/p>\n
    fig.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u51fd\u6570\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528Plotly\u5e93\u7684Scatter\u51fd\u6570\u6765\u7ed8\u5236\u6590\u6ce2\u90a3\u5951\u87ba\u65cb\u56fe\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u56fe\u8868\u7684\u5e03\u5c40\u53c2\u6570\u6765\u63a7\u5236\u56fe\u8868\u7684\u5916\u89c2\u3002<\/p>\n<\/p>\n
4\u3001\u8fd0\u884c\u4ee3\u7801<\/strong><\/p>\n<\/p>\n
\u6700\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u8c03\u7528\u4e0a\u8ff0\u51fd\u6570\u6765\u7ed8\u5236\u6590\u6ce2\u90a3\u5951\u87ba\u65cb\u56fe\uff1a<\/p>\n<\/p>\n
plot_fibonacci_spiral_plotly(10)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u4e2a\u793a\u4f8b\u4ee3\u7801\u5c06\u751f\u6210\u4e00\u4e2a\u5305\u542b\u524d10\u4e2a\u6590\u6ce2\u90a3\u5951\u6570\u7684\u87ba\u65cb\u56fe\u3002\u4f60\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8c03\u6574\u53c2\u6570\u4ee5\u751f\u6210\u4e0d\u540c\u7684\u56fe\u5f62\u3002<\/p>\n<\/p>\n
\u603b\u7ed3<\/strong><\/p>\n<\/p>\n
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\u5982\u4f55\u5728Python\u4e2d\u5b89\u88c5\u7ed8\u5236\u6590\u6ce2\u62c9\u5207\u56fe\u6240\u9700\u7684\u5e93\uff1f<\/strong>
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pip install matplotlib numpy\n<\/code><\/pre>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u60a8\u5c31\u53ef\u4ee5\u5f00\u59cb\u7f16\u5199\u4ee3\u7801\uff0c\u751f\u6210\u6590\u6ce2\u62c9\u5207\u56fe\u3002<\/p>\n
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\u5982\u4f55\u4f7f\u7528Python\u7ed8\u5236\u6590\u6ce2\u62c9\u5207\u56fe\u7684\u793a\u4f8b\u4ee3\u7801\u662f\u4ec0\u4e48\uff1f<\/strong>
\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u5982\u4f55\u5728Python\u4e2d\u7ed8\u5236\u6590\u6ce2\u62c9\u5207\u56fe\uff1a<\/p>\n
import numpy as np\nimport matplotlib.pyplot as plt\n\n# \u793a\u4f8b\u6570\u636e\nprices = [100, 120, 130, 110, 90, 150, 170]\nplt.plot(prices)\n\n# \u8ba1\u7b97\u6590\u6ce2\u62c9\u5207\u6c34\u5e73\nmax_price = max(prices)\nmin_price = min(prices)\ndiff = max_price - min_price\nlevels = [max_price - diff * ratio for ratio in [0.236, 0.382, 0.618]]\n\n# \u7ed8\u5236\u6590\u6ce2\u62c9\u5207\u6c34\u5e73\nfor level in levels:\n    plt.axhline(y=level, color='r', linestyle='--')\n\nplt.title('Fibonacci Retracement Levels')\nplt.xlabel('Time')\nplt.ylabel('Price')\nplt.show()\n<\/code><\/pre>\n
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