https://pandas.pydata.org/pandas-docs/stable/visualization.html
https://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.boxplot

https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.plot.html

box-plots
https://pandas.pydata.org/pandas-docs/stable/visualization.html#box-plots

dfb = pd.DataFrame(np.random.randn(10,5)) # 10 vectors 5 el-s each
dfb.boxplot(
    vert=False,
    return_type='axes'
)
...
df.boxplot(by='name')

line-plots
s.plot(kind='line') is equivalent to s.plot.line()

df.plot(
    subplots=True, layout=(2, 3), figsize=(6, 6), sharex=False
)

categorical
plt.plot(dfall['name'], dfall.drop(columns=['name']))

fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(8, 4), sharey=True)
axes[0].plot(dfall['name'], dfall.drop(columns=['name']))
axes[1].plot(dfcpu['name'], dfcpu.drop(columns=['name']))
fig.suptitle('FX/LP min/median/max')