修改 jupyter notebook 的主题，字体，字号

pip install jupyterthemes
jt -l
jt -t oceans16 -f anonymous -fs 12 -cellw 90% -ofs 11 -dfs 11 -T

theme

• chesterish
• grade3
• gruvboxd
• gruvboxl
• monokai
• oceans16
• onedork
• solarizedd
• solarizedl

Set Plotting Style (from within notebook)

jtplot.style() makes changes to matplotlib’s rcParams dictionary so that figure aesthetics match those of a chosen jupyterthemes style. In addition to setting the color scheme, jtplot.style() allows you to control various figure properties (spines, grid, font scale, etc.) as well as the plotting “context” (borrowed from seaborn).

Note, these commands do not need to be re-run every time you generate a new plot, just once at the beginning of your notebook or whenever style changes are desired after that.

Pro-tip: Include the following two lines in ~/.ipython/profile_default/startup/startup.ipy file to set plotting style automatically whenever you start a notebook:

# import jtplot submodule from jupyterthemes
from jupyterthemes import jtplot

# currently installed theme will be used to
# set plot style if no arguments provided
jtplot.style()

jtplot.style() Examples

# import jtplot module in notebook
from jupyterthemes import jtplot

# choose which theme to inherit plotting style from
# onedork | grade3 | oceans16 | chesterish | monokai | solarizedl | solarizedd
jtplot.style(theme='onedork')

# set "context" (paper, notebook, talk, poster)
# scale font-size of ticklabels, legend, etc.
# remove spines from x and y axes and make grid dashed
jtplot.style(context='talk', fscale=1.4, spines=False, gridlines='--')

# turn on X- and Y-axis tick marks (default=False)
# turn off the axis grid lines (default=True)
# and set the default figure size
jtplot.style(ticks=True, grid=False, figsize=(6, 4.5))

# reset default matplotlib rcParams
jtplot.reset()

Monospace Fonts (code cells)

Sans-Serif Fonts

Serif Fonts