将 2 个图保存为一个包含 2 页的 PDF? [英] Saving 2 plots into one PDF with 2 pages?

问题描述

假设我从jupyter笔记本中输出了2个matplotlib图(例如，这些图完全相同).

 将matplotlib.pyplot导入为plt将numpy导入为np#绘图数据t = np.arange(0.0，2.0，0.01)s = 1 + np.sin(2 * np.pi * t)# 注意下面使用plt.subplots等价于使用# fig = plt.figure 然后 ax = fig.add_subplot(111)无花果，ax = plt.subplots()ax.plot(t，s)ax.set(xlabel='time (s)', ylabel='电压 (mV)',title='关于尽可能简单，伙计们')ax.grid()fig.savefig("test.png")plt.show()

如何将这两个图表保存到一个 PDF 中，每个图表都有自己的页面，而不是将它们合并到一个页面上?

解决方案

您可以使用以下方式:

我获取了您的示例代码，并将其略微调整为适用于matplotlib中的

针对osx用户的注释:由于出现以下行，我对matplotlib中的示例有疑问:

  plt.rc('text'，usetex = True)

这导致了 LaTex 错误.

  RuntimeError:LaTeX无法处理以下字符串:b'lp'这是LaTeX生成的完整报告:

只需设置

usetex=False

作为第一个解决方法.

Let's say I have from output 2 matplotlib plots in my jupyter notebook (for example purposes these charts are the exact same).

import matplotlib.pyplot as plt
import numpy as np

# Data for plotting
t = np.arange(0.0, 2.0, 0.01)
s = 1 + np.sin(2 * np.pi * t)

# Note that using plt.subplots below is equivalent to using
# fig = plt.figure and then ax = fig.add_subplot(111)
fig, ax = plt.subplots()
ax.plot(t, s)

ax.set(xlabel='time (s)', ylabel='voltage (mV)',
       title='About as simple as it gets, folks')
ax.grid()

fig.savefig("test.png")
plt.show()

How can I save these 2 charts into a single PDF with each chart having its own page, instead of having them combined onto a single page?

解决方案

You could use something like this:

I took your sample code and slightly adapted it to the multipage example from matplotlib.

import numpy as np
from matplotlib.backends.backend_pdf import PdfPages
import matplotlib.pyplot as plt

import matplotlib.pyplot as plt
import numpy as np

with PdfPages('multipage_pdf.pdf') as pdf:
    # Data for plotting
    t = np.arange(0.0, 2.0, 0.01)
    s = 1 + np.sin(2 * np.pi * t)

    # Note that using plt.subplots below is equivalent to using
    # fig = plt.figure and then ax = fig.add_subplot(111)
    #fig, ax = plt.subplots()
    plt.plot(t, s)

    #ax.set(xlabel='time (s)', ylabel='voltage (mV)', title='About as simple as it gets, folks')
    #ax.grid()
    plt.title("Page one")
    pdf.savefig()
    plt.close()

    plt.rc('text', usetex=False)
    plt.title("PAGE TWO")
    # Data for plotting
    t = np.arange(0.0, 2.0, 0.01)
    s = 1 + np.sin(2 * np.pi * t)

    # Note that using plt.subplots below is equivalent to using
    # fig = plt.figure and then ax = fig.add_subplot(111)
    fig, ax = plt.subplots()
    ax.plot(t, s)

    ax.set(xlabel='time (s)', ylabel='voltage (mV)',
        title='About as simple as it gets, folks')
    ax.grid()

    pdf.savefig()
    plt.close()

This results in a nice two page pdf on my mac unsing python 3. This is not intended to be the final solution but should be a good starting point for you oto go on. You can also add pdf metadata, insert text and much more.

remark for osx users: I had problems with the example from matplotlib due to the line:

plt.rc('text', usetex=True)

This resulted in a LaTex error.

RuntimeError: LaTeX was not able to process the following string:
b'lp'
Here is the full report generated by LaTeX: 

Just set

usetex=False

as a first workaround to get going.

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