曲线图

最新推荐文章于 2023-10-22 08:31:49 发布

转载最新推荐文章于 2023-10-22 08:31:49 发布 · 180 阅读

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原文链接：http://blog.51cto.com/victor2016/2112216

本篇博客介绍了一个使用Python从NOAA获取太阳黑子数据的方法，并利用ReportLab库将这些数据绘制为PDF格式的折线图。通过抓取在线数据并进行处理，最终以图表形式展示了太阳黑子活动的预测、高点及低点。

from urllib import request
from reportlab.graphics.shapes import *
from reportlab.graphics import renderPDF
from reportlab.graphics.charts.lineplots import LinePlot
from reportlab.graphics.charts.textlabels import Label

data = []
COMMENT_CHARS = '#:'
url = 'http://services.swpc.noaa.gov/text/predicted-sunspot-radio-flux.txt'
for line in request.urlopen(url).readlines():

if not line.isspace() and not chr(line[0]) in COMMENT_CHARS:
    data.append([float(n) for n in line.split()])

print(data)

d = Drawing(400, 200)
lp = LinePlot()
lp.x = 50
lp.y = 50
lp.height = 130
lp.width = 300

high = [ row[3] for row in data]
low = [ row[4] for row in data]
pre = [ row[2] for row in data]
times = [ row[0] + row[1]/12.0 for row in data]
lp.data = [list(zip(times, pre)),list(zip(times, low)), list(zip(times, high))]
lp.lines[0].strokeColor = colors.blue
lp.lines[1].strokeColor = colors.red
lp.lines[2].strokeColor = colors.green
d.add(lp)

d.add(String(250, 150, 'Sunspots', fontSize=14, fillColor=colors.gold))

renderPDF.drawToFile(d, r"d:\report.pdf", "ok")

转载于:https://blog.51cto.com/victor2016/2112216