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本文介绍了一种使用Python从远程FTP服务器获取太阳活动预测数据的方法，并利用ReportLab库将这些数据绘制为PDF格式的图表。具体步骤包括读取数据、处理数据并创建线形图。

已经测试，来源：网络

from urllib.request import urlopen

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

URL = 'ftp://ftp.swpc.noaa.gov/pub/weekly/Predict.txt'
COMMENT_CHARS = '#:'


drawing = Drawing(400, 200)
data = []
for line in urlopen(URL).readlines():
line = line.decode()
if not line.isspace() and line[0] not in COMMENT_CHARS:
data.append([float(n) for n in line.split()])

pred = [row[2] for row in data]
high = [row[3] for row in data]
low = [row[4] for row in data]
times = [row[0] + row[1]/12.0 for row in data]

lp = LinePlot()
lp.x = 50
lp.y = 50
lp.height = 125
lp.width = 300
lp.data = [list(zip(times, pred)),
list(zip(times, high)),
list(zip(times, low))]
lp.lines[0].strokeColor = colors.blue
lp.lines[1].strokeColor = colors.red
lp.lines[2].strokeColor = colors.green

drawing.add(lp)

drawing.add(String(250, 150, 'sunsnope',
fontSize=14, fillColor=colors.red))

renderPDF.drawToFile(drawing, 'c:/report2.pdf', 'sunsnope')