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优化Matplotlib图

[英]Custimizing Matplotlib plots

我正在尝试实现matplotlib图的优化程序以使用乳胶作品。 有关更多参考,请查看以下链接: LaTeXify Matplotlib

以下代码显示了我尝试过的内容。 我实现了以下代码:

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import matplotlib

from math import sqrt
SPINE_COLOR = 'gray'

def latexify(fig_width=None, fig_height=None, columns=1):
    """Set up matplotlib's RC params for LaTeX plotting.
    Call this before plotting a figure.

    Parameters
    ----------
    fig_width : float, optional, inches
    fig_height : float,  optional, inches
    columns : {1, 2}
    """

    # code adapted from http://www.scipy.org/Cookbook/Matplotlib/LaTeX_Examples

    # Width and max height in inches for IEEE journals taken from
    # computer.org/cms/Computer.org/Journal%20templates/transactions_art_guide.pdf

    assert(columns in [1,2])

    if fig_width is None:
        fig_width = 3.39 if columns==1 else 6.9 # width in inches

    if fig_height is None:
        golden_mean = (sqrt(5)-1.0)/2.0    # Aesthetic ratio
        fig_height = fig_width*golden_mean # height in inches

    MAX_HEIGHT_INCHES = 8.0
    if fig_height > MAX_HEIGHT_INCHES:
        print("WARNING: fig_height too large:" + fig_height +
              "so will reduce to" + MAX_HEIGHT_INCHES + "inches.")
        fig_height = MAX_HEIGHT_INCHES

    params = {'backend': 'ps',
              'text.latex.preamble':['\usepackage{gensymb}'],
              'axes.labelsize': 8, # fontsize for x and y labels (was 10)
              'axes.titlesize': 8,
              'text.fontsize': 8, # was 10
              'legend.fontsize': 8, # was 10
              'xtick.labelsize': 8,
              'ytick.labelsize': 8,
              'text.usetex': True,
              'figure.figsize': [fig_width,fig_height],
              'font.family': 'serif'
    }

    matplotlib.rcParams.update(params)


def latexify(fig_width=None, fig_height=None, columns=1):
    """Set up matplotlib's RC params for LaTeX plotting.
    Call this before plotting a figure.

    Parameters
    ----------
    fig_width : float, optional, inches
    fig_height : float,  optional, inches
    columns : {1, 2}
    """

    # code adapted from http://www.scipy.org/Cookbook/Matplotlib/LaTeX_Examples

    # Width and max height in inches for IEEE journals taken from
    # computer.org/cms/Computer.org/Journal%20templates/transactions_art_guide.pdf

    assert(columns in [1,2])

    if fig_width is None:
        fig_width = 3.39 if columns==1 else 6.9 # width in inches

    if fig_height is None:
        golden_mean = (sqrt(5)-1.0)/2.0    # Aesthetic ratio
        fig_height = fig_width*golden_mean # height in inches

    MAX_HEIGHT_INCHES = 8.0
    if fig_height > MAX_HEIGHT_INCHES:
        print("WARNING: fig_height too large:" + fig_height +
              "so will reduce to" + MAX_HEIGHT_INCHES + "inches.")
        fig_height = MAX_HEIGHT_INCHES

    params = {'backend': 'ps',
              'text.latex.preamble': ['\usepackage{gensymb}'],
              'axes.labelsize': 8, # fontsize for x and y labels (was 10)
              'axes.titlesize': 8,
              'text.fontsize': 8, # was 10
              'legend.fontsize': 8, # was 10
              'xtick.labelsize': 8,
              'ytick.labelsize': 8,
              'text.usetex': True,
              'figure.figsize': [fig_width,fig_height],
              'font.family': 'serif'
    }

    matplotlib.rcParams.update(params)


def format_axes(ax):

    for spine in ['top', 'right']:
        ax.spines[spine].set_visible(False)

    for spine in ['left', 'bottom']:
        ax.spines[spine].set_color(SPINE_COLOR)
        ax.spines[spine].set_linewidth(0.5)

    ax.xaxis.set_ticks_position('bottom')
    ax.yaxis.set_ticks_position('left')

    for axis in [ax.xaxis, ax.yaxis]:
        axis.set_tick_params(direction='out', color=SPINE_COLOR)

    return ax

df = pd.DataFrame(np.random.randn(10,2))
df.columns = ['Column 1', 'Column 2']



ax = df.plot()
ax.set_xlabel("X label")
ax.set_ylabel("Y label")
ax.set_title("Title")
plt.tight_layout()
plt.savefig("C:\Users\Laptop\Desktop\image1.pdf")


latexify()

ax = df.plot()
ax.set_xlabel("X label")
ax.set_ylabel("Y label")
ax.set_title("Title")
plt.tight_layout()
format_axes(ax)
plt.savefig("C:\Users\Laptop\Desktop\image2.pdf")

我获得以下Syntaxerror并完成回溯:

Traceback (most recent call last):
  File "<input>", line 1, in <module>
  File "C:\Program Files\JetBrains\PyCharm 2018.3.3\helpers\pydev\_pydev_bundle\pydev_umd.py", line 197, in runfile
    pydev_imports.execfile(filename, global_vars, local_vars)  # execute the script
  File "C:\Program Files\JetBrains\PyCharm 2018.3.3\helpers\pydev\_pydev_imps\_pydev_execfile.py", line 18, in execfile
    exec(compile(contents+"\n", file, 'exec'), glob, loc)
  File "C:/Users/Laptop/PycharmProjects/PythonThesisVU/PLOTS.py", line 41
    'text.latex.preamble':['\usepackage{gensymb}'],
                          ^
SyntaxError: (unicode error) 'unicodeescape' codec can't decode bytes in position 0-1: truncated \uXXXX escape

有谁知道为什么会出现语法错误,以及如何使代码顺利运行而不会出现任何错误?

任何帮助将非常感激!

编辑1:将字体系列调整为avant。

params = {'backend': 'ps',
          'text.latex.preamble':[r'\usepackage{gensymb}', r'\usepackage{avant}'],
          'axes.labelsize': 8, # fontsize for x and y labels (was 10)
          'axes.titlesize': 8,
          'font.size': 8, # was 10
          'legend.fontsize': 8, # was 10
          'xtick.labelsize': 8,
          'ytick.labelsize': 8,
          'text.usetex': True,
          'figure.figsize': [fig_width,fig_height],
          'font.family': 'avant'

所需的前卫字体如下所示: 在此处输入图片说明

错误发生在此行:

          'text.latex.preamble':['\usepackage{gensymb}'],

Python将'\\usepackage{gensymb}'\\u\u003c/code>解释为Unicode转义序列的开始。 您可以通过用\\\\转义\\或使用原始字符串来解决此问题。

例如:

          'text.latex.preamble':[r'\usepackage{gensymb}'],

要么:

          'text.latex.preamble':['\\usepackage{gensymb}'],

将纠正错误。

text.fontsize不是有效的参数。 它是font.size 另外,必须转义反斜杠或必须使用原始字符串。 r'\\usepackage{gensymb}'

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