The customized matplotlib style for scientific plot with large font size, linewidth and scatter size

scienceplot.mplstyle

# It is a modified version of garrettj403/SciencePlots/science.mplstyle
# (https://github.com/garrettj403/SciencePlots/blob/master/styles/science.mplstyle)

# Set color cycle: using vibrant palette
axes.prop_cycle : cycler('color', ['EE7733', '0077BB', '009988', 'CC3311', '33BBEE', 'EE3377', 'BBBBBB'])

# Set default figure size
figure.figsize : 8, 6

# Set font size
legend.fontsize: 24
axes.labelsize: 28
axes.titlesize: 28
xtick.labelsize: 28
ytick.labelsize: 28
axes.titlepad: 10

# Set x axis
xtick.direction : in
xtick.major.size : 6
xtick.major.width : 1.5
xtick.minor.size : 4
xtick.minor.width : 1
xtick.minor.visible : True
xtick.top : True

# Set y axis
ytick.direction : in
ytick.major.size : 6
ytick.major.width : 1.5
ytick.minor.size : 4
ytick.minor.width : 1
ytick.minor.visible : True
ytick.right : True

# Set line widths
axes.linewidth : 2
grid.linewidth : 1
lines.linewidth : 3
lines.markersize : 10
axes.grid : False

# Remove legend frame
legend.frameon : False

# Always save as 'tight'
savefig.bbox : tight
savefig.pad_inches : 0.05

# Use sans-serif fonts
font.sans-serif : Arial
font.family : sans-serif
mathtext.fontset : dejavuserif

scienceplot.py

# To use vibrant, grid styles, first install SciencePlots. Note that vibrant is color-blind safe
# pip install SciencePlots

size = 36    # font size should be larger than 24, and I use 36 to control different sizes
plt.style.use(["vibrant", "grid"])
params = {
    "legend.fontsize": size * 0.5,
    "axes.labelsize": size * 0.75,
    "axes.titlesize": size * 0.75,
    "xtick.labelsize": size * 0.75,
    "ytick.labelsize": size * 0.75,
    "axes.titlepad": 20,
    "xtick.direction": "in",
    # xtick
    "xtick.major.size": 6,
    "xtick.major.width": 1.5,
    "xtick.minor.size": 4,
    "xtick.minor.width": 1,
    # ytick
    "ytick.major.size": 6,
    "ytick.major.width": 1.5,
    "ytick.minor.size": 4,
    "ytick.minor.width": 1,
    # linewidth
    "axes.linewidth": 2,
    "grid.linewidth": 1,
    "lines.linewidth": 3,
    "lines.markersize": 10,
    "axes.grid": False,   # delete this line before using grid style
    # font-family
    "font.sans-serif": ["Arial"],
    "font.family": "sans-serif",
    "mathtext.fontset": "dejavuserif",
    # Remove legend frame
    "legend.frameon": False,    # delete this line before use grid style
    # Always save as 'tight'
    "savefig.bbox": "tight",
    "savefig.pad_inches": 0.05
}
plt.rcParams.update(params)


fig = plt.figure(figsize=(16, 6))    # default size for a single axe is (8, 6)
fig.subplots_adjust(hspace=0.3, wspace=0.2)
ax1 = fig.add_subplot(1, 2, 1)
ax2 = fig.add_subplot(1, 2, 2)

And here are demos with grid style on.

A demo for scatter plots