Table of Contents

• 1  Imports
• 2  Load data
• 3  Dark custom mpl styles
• 4  Light custom mpl styles
• 5  Default mpl styles

Imports

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

%load_ext autoreload
%load_ext watermark

%autoreload 2
%watermark -a "Bhishan Poudel" -d -v -m
%watermark -iv

Bhishan Poudel 2021-07-11 

CPython 3.7.7
IPython 7.22.0

compiler   : Clang 4.0.1 (tags/RELEASE_401/final)
system     : Darwin
release    : 19.6.0
machine    : x86_64
processor  : i386
CPU cores  : 4
interpreter: 64bit
pandas  1.2.4
seaborn 0.11.0
numpy   1.19.5

# my local library
import sys
sys.path.append("/Users/poudel/Dropbox/a00_Bhishan_Modules/")
sys.path.append("/Users/poudel/Dropbox/a00_Bhishan_Modules/bhishan")
from bhishan import bp

Load data

df = sns.load_dataset('titanic')
df.head()

	survived	pclass	sex	age	sibsp	parch	fare	embarked	class	who	adult_male	deck	embark_town	alive	alone
0	0	3	male	22.0	1	0	7.2500	S	Third	man	True	NaN	Southampton	no	False
1	1	1	female	38.0	1	0	71.2833	C	First	woman	False	C	Cherbourg	yes	False
2	1	3	female	26.0	0	0	7.9250	S	Third	woman	False	NaN	Southampton	yes	True
3	1	1	female	35.0	1	0	53.1000	S	First	woman	False	C	Southampton	yes	False
4	0	3	male	35.0	0	0	8.0500	S	Third	man	True	NaN	Southampton	no	True

df.plot.scatter(x='age',y=['fare'])

<matplotlib.axes._subplots.AxesSubplot at 0x7f8e89a82290>

Dark custom mpl styles

plt.style.use(bp.get_mpl_style(-1))
df.plot.scatter(x='age',y='fare')

<matplotlib.axes._subplots.AxesSubplot at 0x7f8e89b7fd50>

plt.style.use(bp.get_mpl_style(-2))
df.plot.scatter(x='age',y='fare')

<matplotlib.axes._subplots.AxesSubplot at 0x7f8e8c29d9d0>

plt.style.use(bp.get_mpl_style(-3))
df.plot.scatter(x='age',y='fare')

<matplotlib.axes._subplots.AxesSubplot at 0x7f8e8c327f90>

Light custom mpl styles

plt.style.use(bp.get_mpl_style(-100))
df.plot.scatter(x='age',y='fare')

<matplotlib.axes._subplots.AxesSubplot at 0x7f8e8c310310>

plt.style.use(bp.get_mpl_style(-200))
df.plot.scatter(x='age',y='fare')

<matplotlib.axes._subplots.AxesSubplot at 0x7f8e9220d7d0>

plt.style.use(bp.get_mpl_style(-300))
df.plot.scatter(x='age',y='fare')

<matplotlib.axes._subplots.AxesSubplot at 0x7f8e922da090>

Default mpl styles

plt.style.use(bp.get_mpl_style(0))
df.plot.scatter(x='age',y='fare')

<matplotlib.axes._subplots.AxesSubplot at 0x7f8e8c33a7d0>

plt.style.use(bp.get_mpl_style(1))
df.plot.scatter(x='age',y='fare')

<matplotlib.axes._subplots.AxesSubplot at 0x7f8e92494b90>

plt.style.use(bp.get_mpl_style(2))
df.plot.scatter(x='age',y='fare')

<matplotlib.axes._subplots.AxesSubplot at 0x7f8e9255eb90>

plt.style.use(bp.get_mpl_style(3))
df.plot.scatter(x='age',y='fare')

<matplotlib.axes._subplots.AxesSubplot at 0x7f8e92786950>

s = bp.get_mpl_style(4)
plt.style.use(s)
df.plot.scatter(x='age',y='fare')

<matplotlib.axes._subplots.AxesSubplot at 0x7f8e92820d50>