Matplotlib 图转 PDF 无需保存
Matplotlib figure to PDF without saving
我必须创建一组 matplotlib 图形,我想直接在 PDF 报告中显示它们而不将它们另存为文件。
我的绘图数据存储在 Pandas DataFrame 中:
现在我不知道还有什么比先保存图像然后再使用更好的选择。
我正在做类似的事情:
import matplotlib.pylab as plt
from reportlab.platypus import BaseDocTemplate, Image
for index, row in myDataFrame.iterrows():
fig = plt.figure()
plt.plot(row['Xvalues'], row['Yvalues'],'o', color='r')
fig.savefig('figure_%s.png' % (row['ID']))
plt.close(fig)
text = []
doc = BaseDocTemplate(pageName, pagesize=landscape(A4))
for f in listdir(myFolder):
if f.endswith('png'):
image1 = Image(f)
text.append(image1)
doc.build(text)
我认为您可以使用 io.BytessIO
将图形保存到缓冲区中并在鸭嘴兽中使用它。也许是这样的?
import io
import matplotlib.pylab as plt
from reportlab.platypus import BaseDocTemplate, Image
buffers = []
for index, row in myDataFrame.iterrows():
fig = plt.figure()
plt.plot(row['Xvalues'], row['Yvalues'],'o', color='r')
mybuffer = io.BytesIO()
fig.savefig(mybuffer, format = 'pdf')
mybuffer.seek(0)
buffers.append(mybuffer)
plt.close(fig)
text = []
doc = BaseDocTemplate(pageName, pagesize=landscape(A4))
doc.build(buffers)
下面是matplotlib自己提供的最佳方案:
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.pyplot as plt
with PdfPages('foo.pdf') as pdf:
#As many times as you like, create a figure fig and save it:
fig = plt.figure()
pdf.savefig(fig)
....
fig = plt.figure()
pdf.savefig(fig)
瞧
在此处查找完整示例:multipage pdf matplotlib
使用我的包 autobasedoc https://pypi.org/project/autobasedoc/ 你的例子看起来像这样:
from autobasedoc import autorpt as ar
from autobasedoc import autoplot as ap
@ap.autoPdfImg
def my_plot(index, row, canvaswidth=5): #[inch]
fig, ax = ap.plt.subplots(figsize=(canvaswidth,canvaswidth))
fig.suptitle(f"My simple plot {index}", fontproperties=fontprop)
ax.plot(row['Xvalues'], row['Yvalues'],label=f"legendlabel{index}")
return fig
doc = ar.AutoDocTemplate(pageName)
content = []
for index, row in myDataFrame.iterrows():
content.append(my_plot(index, row))
doc.build(content)
我必须创建一组 matplotlib 图形,我想直接在 PDF 报告中显示它们而不将它们另存为文件。
我的绘图数据存储在 Pandas DataFrame 中:
现在我不知道还有什么比先保存图像然后再使用更好的选择。
我正在做类似的事情:
import matplotlib.pylab as plt
from reportlab.platypus import BaseDocTemplate, Image
for index, row in myDataFrame.iterrows():
fig = plt.figure()
plt.plot(row['Xvalues'], row['Yvalues'],'o', color='r')
fig.savefig('figure_%s.png' % (row['ID']))
plt.close(fig)
text = []
doc = BaseDocTemplate(pageName, pagesize=landscape(A4))
for f in listdir(myFolder):
if f.endswith('png'):
image1 = Image(f)
text.append(image1)
doc.build(text)
我认为您可以使用 io.BytessIO
将图形保存到缓冲区中并在鸭嘴兽中使用它。也许是这样的?
import io
import matplotlib.pylab as plt
from reportlab.platypus import BaseDocTemplate, Image
buffers = []
for index, row in myDataFrame.iterrows():
fig = plt.figure()
plt.plot(row['Xvalues'], row['Yvalues'],'o', color='r')
mybuffer = io.BytesIO()
fig.savefig(mybuffer, format = 'pdf')
mybuffer.seek(0)
buffers.append(mybuffer)
plt.close(fig)
text = []
doc = BaseDocTemplate(pageName, pagesize=landscape(A4))
doc.build(buffers)
下面是matplotlib自己提供的最佳方案:
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.pyplot as plt
with PdfPages('foo.pdf') as pdf:
#As many times as you like, create a figure fig and save it:
fig = plt.figure()
pdf.savefig(fig)
....
fig = plt.figure()
pdf.savefig(fig)
瞧
在此处查找完整示例:multipage pdf matplotlib
使用我的包 autobasedoc https://pypi.org/project/autobasedoc/ 你的例子看起来像这样:
from autobasedoc import autorpt as ar
from autobasedoc import autoplot as ap
@ap.autoPdfImg
def my_plot(index, row, canvaswidth=5): #[inch]
fig, ax = ap.plt.subplots(figsize=(canvaswidth,canvaswidth))
fig.suptitle(f"My simple plot {index}", fontproperties=fontprop)
ax.plot(row['Xvalues'], row['Yvalues'],label=f"legendlabel{index}")
return fig
doc = ar.AutoDocTemplate(pageName)
content = []
for index, row in myDataFrame.iterrows():
content.append(my_plot(index, row))
doc.build(content)