sklearn实战-乳腺癌细胞数据挖掘
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本文实例演示了Python生成pdf文件的方法，是比较实用的功能，主要包含2个文件。具体实现方法如下：
pdf.py文件如下：
| 1 2 3 4 5 6 7 8 | #!/usr/bin/python from reportlab.pdfgen import canvas def hello(): c = canvas.Canvas( "helloworld.pdf" ) c.drawString( 100 , 100 , "Hello,World" ) c.showPage() c.save() hello() |
diskreport.py文件如下：
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | #!/usr/bin/env python import subprocess import datetime from reportlab.pdfgen import canvas from reportlab.lib.units import inch def disk_report(): p = subprocess.Popen( "df -h" , shell = True , stdout = subprocess.PIPE) # print p.stdout.readlines() return p.stdout.readlines() def create_pdf( input , output = "disk_report.pdf" ): now = datetime.datetime.today() date = now.strftime( "%h %d %Y %H:%M:%S" ) c = canvas.Canvas(output) textobject = c.beginText() textobject.setTextOrigin(inch, 11 * inch) textobject.textLines( '''Disk Capcity Report: %s''' % date) for line in input : textobject.textLine(line.strip()) c.drawText(textobject) c.showPage() c.save() report = disk_report() create_pdf(report) |
感兴趣的读者可以调试运行一下，对不足之处加以改进，以实现功能的最佳应用！
python风控评分卡建模和风控常识
