Seaborn

[Notice] [visualization_practice_seaborn_first]

Seaborn

• pyplot document

• seaborn document

import matplotlib.pyplot as plt
import pandas as pd
import numpy as np
from IPython.display import Image

# seaborn
import seaborn as sns

plt.rc('font', family='NanumBarunGothic') 
plt.rcParams["figure.figsize"] = (12, 9)

plots that are based on statistical in Seaborn

tips = sns.load_dataset("tips")

sns.violinplot(x = 'day', y = 'total_bill', data = tips)

plt.title('violin plot')
plt.show()

findfont: Font family ['NanumBarunGothic'] not found. Falling back to DejaVu Sans.
findfont: Font family ['NanumBarunGothic'] not found. Falling back to DejaVu Sans.

sns.countplot(tips['day'])

plt.title('countplot')
plt.show()

/Users/skhu_cv_mac/miniforge3/envs/dylan/lib/python3.10/site-packages/seaborn/_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.
  warnings.warn(

sns.relplot(x = 'tip', y = 'total_bill', data = tips)

plt.title('relplot')
plt.show()

sns.lmplot(x = 'tip', y = 'total_bill', data = tips)

plt.title('lmplot')
plt.show()

sns.heatmap(tips.corr(), annot = True, linewidths = 1)

plt.title('heatmap')
plt.show()

Styling seaborn

plt.bar(tips['day'], tips['total_bill'])
plt.show()

sns.barplot(x="day", y="total_bill", data=tips, palette='colorblind')
plt.show()

Color palette

color palette of seaborn

sns.palplot(sns.light_palette((210, 90, 60), input="husl"))
sns.palplot(sns.dark_palette("muted purple", input="xkcd"))
sns.palplot(sns.color_palette("BrBG", 10))
sns.palplot(sns.color_palette("BrBG_r", 10))
sns.palplot(sns.color_palette("coolwarm", 10))
sns.palplot(sns.diverging_palette(255, 133, l=60, n=10, center="dark"))

sns.barplot(x="tip", y="total_bill", data=tips, palette='coolwarm')

<AxesSubplot:xlabel='tip', ylabel='total_bill'>

sns.barplot(x="tip", y="total_bill", data=tips, palette='Reds')

<AxesSubplot:xlabel='tip', ylabel='total_bill'>

It shows high compatibility with pandas dataframes

tips

	total_bill	tip	sex	smoker	day	time	size
0	16.99	1.01	Female	No	Sun	Dinner	2
1	10.34	1.66	Male	No	Sun	Dinner	3
2	21.01	3.50	Male	No	Sun	Dinner	3
3	23.68	3.31	Male	No	Sun	Dinner	2
4	24.59	3.61	Female	No	Sun	Dinner	4
...	...	...	...	...	...	...	...
239	29.03	5.92	Male	No	Sat	Dinner	3
240	27.18	2.00	Female	Yes	Sat	Dinner	2
241	22.67	2.00	Male	Yes	Sat	Dinner	2
242	17.82	1.75	Male	No	Sat	Dinner	2
243	18.78	3.00	Female	No	Thur	Dinner	2

244 rows × 7 columns

sns.catplot(x = 'sex', y = 'total_bill', data = tips, kind = 'bar')


plt.show()

# hue option
sns.catplot(x = 'sex', y = 'total_bill', hue = 'smoker', data = tips, kind = 'bar')


plt.show()

# col option
sns.catplot(x = 'sex', y = 'total_bill', hue = 'smoker',col = 'time', data = tips, kind = 'bar')


plt.show()