spt 0.2.4

Scientific matplotlib plot rcParams configuration template python package.

spt

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spt: A Scientific matplotlib plot rcParams configuration template python package.

• Repo: https://github.com/Bit-Part-Young/spt
• Full Documentation: README.md / Web

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Installation

• via pip:

pip install -U spt

# install spt and examples dependencies
pip install ".[examples]"

• via git:

pip install git+https://github.com/Bit-Part-Young/spt.git
# or
pip install git+https://gitee.com/yangsl306/spt.git

• via source code:

git clone https://github.com/Bit-Part-Young/spt.git
# or
git clone https://gitee.com/yangsl306/spt.git

cd spt

# virtual environment
python -m venv venv
source venv/bin/activate

pip install .
# or
pip install -r requirements.txt

# editable mode
pip install -e .

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Usage

Full example codes can be found in examples folder.

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fonts

• Times New Roman: Copy TimesNewRoman*.ttf fonts to ~/.fonts or ~/.local/share/fonts or matplotlib font path in specific conda env, then remove matplotlib cache, relogin.

cp fonts/TimesNewRoman*.ttf ~/.fonts
# or
cp fonts/TimesNewRoman*.ttf ~/.local/share/fonts
# or
cp fonts/TimesNewRoman*.ttf <conda_env>/lib/pythonXXX/site-packages/matplotlib/mpl-data/fonts/ttf/

# remove matplotlib cache
rm -rf ~/.cache/matplotlib

# check fonts
fc-list lang:en | grep -i "Times New Roman"

• Chinese: Copy SimHei.ttf font to ~/.fonts or ~/.local/share/fonts or matplotlib font path in specific conda env, backup original matplotlibrc file, copy modified matplotlibrc file to mpl-data path, then remove matplotlib cache, relogin.

cp fonts/SimHei.ttf ~/.fonts
# or
cp fonts/SimHei.ttf ~/.local/share/fonts
# or
cp fonts/SimHei.ttf <conda_env>/lib/pythonXXX/site-packages/matplotlib/mpl-data/fonts/ttf/

# backup matplotlibrc file
cp fonts/matplotlibrc <conda_env>/lib/pythonXXX/site-packages/matplotlib/mpl-data/

# remove matplotlib cache
rm -rf ~/.cache/matplotlib

# check fonts
fc-list lang:zh | grep -i "SimHei"

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matplotlibrc modification:

# Original
font.sans-serif: DejaVu Sans, Bitstream Vera Sans, Computer Modern Sans Serif, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif
axes.unicode_minus: True  # use Unicode for the minus symbol rather than hyphen.  See

# Modification
font.sans-serif: DejaVu Sans, Bitstream Vera Sans, Computer Modern Sans Serif, Lucida Grande, Verdana, Geneva, Lucid, Arial, Helvetica, Avant Garde, sans-serif, SimHei, Times New Roman, Times
axes.unicode_minus: False  # use Unicode for the minus symbol rather than hyphen.  See

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set_plot_params()

• code snippets (complete script: plot.py):

import matplotlib.pyplot as plt
from spt.plot_params import set_plot_params

...

set_plot_params()

fig, ax = plt.subplots()

...

---

Figure:

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set_roman_plot_params()

• code snippets (complete script: plot_roman.py):

import matplotlib.pyplot as plt
from spt.plot_params import set_roman_plot_params

...

set_roman_plot_params()

fig, ax = plt.subplots()

...

---

Figure:

---

• 3d plot code snippets (complete script: plot_3d.py):

import matplotlib.pyplot as plt
from spt.plot_params import set_roman_plot_params

...

set_roman_plot_params(
    axes_labelpad=15,
    legend_handletextpad=0.0,
    legend_fontsize=22,
    savefig_bbox="standard",
)

fig, ax = plt.subplots(subplot_kw={"projection": "3d"}, figsize=(10, 8))

...

---

Figure:

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Chinese characters plot

• code snippets (complete script: plot_zh.py)

import matplotlib.pyplot as plt
from spt.plot_params import set_roman_plot_params

...

set_roman_plot_params()

fig, ax = plt.subplots()

ax.plot(x, y, label="正弦函数")

ax.set(xlabel="x", ylabel="y")

# legend 字体设置为 SimHei
ax.legend(prop={"family": "SimHei"})

...

---

Figure

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Scientific Figure Examples

• Example 1 (complete script: dot_line_plot.py):

Figure:

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• Example 2 (complete script: phase_stability_Nb3Si_plot.py):

Figure:

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• Example 3 (complete script: b_fit_cal.py):

Figure:

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• Example 4 (complete script: xrd_plot.py):

Figure:

• Example 5 (complete script: ternary_plot.py):

Figure:

• Example 5 (complete script: ternary_convex_hull.py):

Figure: