python reportlab生成pdf

这里自定义了pagetemplate，使用BaseDocTemplate，但我感觉一般使用SimpleDocTemplate就可以。

from reportlab.platypus import Frame
from reportlab.lib.pagesizes import A4, landscapepadding = dict(leftPadding=72,rightPadding=72,topPadding=72,bottomPadding=18)portrait_frame = Frame(0, 0, *A4, **padding)
landscape_frame = Frame(0, 0, *landscape(A4), **padding)def on_page(canvas, doc, pagesize=A4):page_num = canvas.getPageNumber()canvas.drawCentredString(pagesize[0]/2, 50, str(page_num))canvas.drawImage('https://www.python.org/static/community_logos/python-logo.png', 0, 0)def on_page_landscape(canvas, doc):return on_page(canvas, doc, pagesize=landscape(A4))from reportlab.platypus import PageTemplateportrait_template = PageTemplate(id='portrait',frames=portrait_frame,onPage=on_page,pagesize=A4)landscape_template = PageTemplate(id='landscape',frames=landscape_frame,onPage=on_page_landscape,pagesize=landscape(A4))from reportlab.platypus import BaseDocTemplatedoc = BaseDocTemplate('report.pdf',pageTemplates=[portrait_template,landscape_template]
)
import io
from reportlab.platypus import Image
from reportlab.lib.units import inchdef fig2image(f):buf = io.BytesIO()f.savefig(buf, format='png', dpi=300)buf.seek(0)x, y = f.get_size_inches()return Image(buf, x * inch, y * inch)from reportlab.platypus import Table, Paragraph
from reportlab.lib import colorsdef df2table(df):return Table([[Paragraph(col) for col in df.columns]] + df.values.tolist(),style=[('FONTNAME', (0,0), (-1,0), 'Helvetica-Bold'),('LINEBELOW',(0,0), (-1,0), 1, colors.black),('INNERGRID', (0,0), (-1,-1), 0.25, colors.black),('BOX', (0,0), (-1,-1), 1, colors.black),('ROWBACKGROUNDS', (0,0), (-1,-1), [colors.lightgrey, colors.white])],hAlign = 'LEFT')import pandas as pd
import matplotlib.pyplot as pltdf = pd.read_csv('https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data', names=['sepal_length', 'sepal_width', 'petal_length', 'petal_width', 'plant_type'])plant_type_df = df.groupby('plant_type').mean()plant_type_fig, ax = plt.subplots(dpi=300)
plant_type_df.plot.bar(rot=0, ax=ax)
plt.ylim(0, 8)
# plt.show()scatter_matrix_fig, ax = plt.subplots(dpi=300, figsize=(7, 7))
pd.plotting.scatter_matrix(df, ax=ax)
plt.tight_layout()
# plt.show()from reportlab.platypus import NextPageTemplate, PageBreak
from reportlab.lib.styles import getSampleStyleSheetstyles = getSampleStyleSheet()story = [Paragraph('Iris Dataset Report', styles['Heading1']),Paragraph('Scatter Matrix', styles['Heading2']),fig2image(scatter_matrix_fig),Paragraph('Pairwise Correlation', styles['Heading2']),NextPageTemplate('landscape'),PageBreak(),Paragraph('Mean Features by Plant Type', styles['Heading2']),fig2image(plant_type_fig),df2table(plant_type_df),
]doc.build(story)