Seaborn Scatterplot

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

dir(sns)

['FacetGrid',
 'JointGrid',
 'PairGrid',
 '__builtins__',
 '__cached__',
 '__doc__',
 '__file__',
 '__loader__',
 '__name__',
 '__package__',
 '__path__',
 '__spec__',
 '__version__',
 '_compat',
 '_decorators',
 '_docstrings',
 '_oldcore',
 '_orig_rc_params',
 '_statistics',
 'algorithms',
 'axes_style',
 'axisgrid',
 'barplot',
 'blend_palette',
 'boxenplot',
 'boxplot',
 'categorical',
 'catplot',
 'choose_colorbrewer_palette',
 'choose_cubehelix_palette',
 'choose_dark_palette',
 'choose_diverging_palette',
 'choose_light_palette',
 'clustermap',
 'cm',
 'color_palette',
 'colors',
 'countplot',
 'crayon_palette',
 'crayons',
 'cubehelix_palette',
 'dark_palette',
 'desaturate',
 'despine',
 'displot',
 'distplot',
 'distributions',
 'diverging_palette',
 'dogplot',
 'ecdfplot',
 'external',
 'get_data_home',
 'get_dataset_names',
 'heatmap',
 'histplot',
 'hls_palette',
 'husl_palette',
 'jointplot',
 'kdeplot',
 'light_palette',
 'lineplot',
 'lmplot',
 'load_dataset',
 'matrix',
 'miscplot',
 'move_legend',
 'mpl',
 'mpl_palette',
 'pairplot',
 'palettes',
 'palplot',
 'plotting_context',
 'pointplot',
 'rcmod',
 'regplot',
 'regression',
 'relational',
 'relplot',
 'reset_defaults',
 'reset_orig',
 'residplot',
 'rugplot',
 'saturate',
 'scatterplot',
 'set',
 'set_color_codes',
 'set_context',
 'set_hls_values',
 'set_palette',
 'set_style',
 'set_theme',
 'stripplot',
 'swarmplot',
 'utils',
 'violinplot',
 'widgets',
 'xkcd_palette',
 'xkcd_rgb']

View available datasets

sns.get_dataset_names()

['anagrams',
 'anscombe',
 'attention',
 'brain_networks',
 'car_crashes',
 'diamonds',
 'dots',
 'dowjones',
 'exercise',
 'flights',
 'fmri',
 'geyser',
 'glue',
 'healthexp',
 'iris',
 'mpg',
 'penguins',
 'planets',
 'seaice',
 'taxis',
 'tips',
 'titanic']

Load the dataset

tips = sns.load_dataset("tips")
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

Scatter plot

sns.set(color_codes=True)
sns.scatterplot(x = "total_bill", y = "tip", data = tips)
plt.show()

sns.scatterplot(x = tips["total_bill"], y = tips["tip"])
plt.show()

ax = sns.scatterplot(x = "total_bill", y = "tip", data = tips, hue = 'sex')
plt.show()

ax = sns.scatterplot(x = "total_bill", y = "tip", data = tips, hue = 'sex', palette = 'Accent')
plt.show()

sns.scatterplot(x = "total_bill", y = "tip", data = tips, hue = "sex",
               hue_order= ['Male', 'Female'])

plt.show()

sns.scatterplot(x = "total_bill", y = "tip", data = tips, size = 'sex')
plt.show()

sns.scatterplot(x = "total_bill", y = "tip", data = tips, size = 'sex', sizes = (50, 200))
plt.show()

sns.scatterplot(x = "total_bill", y = "tip", data = tips, size = 'sex', style_order=['Male','Female'])
plt.show()

plt.figure(figsize = (12, 8))
sns.scatterplot(x = "total_bill", y = "tip", data = tips, size = 'sex')
plt.title("Scatter Plot of Total bill and Tips", fontsize = 25)
plt.xlabel("Total Bills", fontsize = 20)
plt.ylabel("Tips", fontsize = 20)
plt.show()

plt.figure(figsize = (12, 8))
sns.scatterplot(x = "total_bill", y = "tip", data = tips, size = "day", sizes = (50, 300), alpha = 0.7)
plt.title("Scatter Plot of Total bill and Tips", fontsize = 25)
plt.xlabel("Total Bills", fontsize = 20)
plt.ylabel("Tips", fontsize = 20)
plt.show()

#  set background 'darkgrid'
sns.set()  
plt.figure(figsize = (16,9)) # figure size in 16:9 ratio
 
sns.scatterplot(x = "tip", y = "total_bill", data = tips, hue = "sex", palette = "hot",
                size = "day", sizes = (50, 300), alpha = 0.7)
 
plt.title("Scatter Plot of Tip and Total Bill", fontsize = 25) # title of scatter plot
plt.xlabel("Tip", fontsize = 20) # x-axis label
plt.ylabel("Total Bill", fontsize = 20) # y-axis label
plt.show() # show scatter plot