Example of Seaborn

I am a beginner of Seaborn, this blog here is to make an example for using Seaborn in order to plot a simple data.

# -*- coding: utf-8 -*-

"""

Created on Thu Jun 2 14:04:51 2022

@author: Chuan Pham

"""

#example with seaborn

#we need to install these packages before using

import numpy as np

import pandas as pd

import seaborn as sn

import matplotlib.pyplot as plt

#Create a sample data

data = np.array([[1, 12, 'Monday','Sunny'],

[2, 13, 'Tuesday','Sunny'],

[3, 16, 'Wednesday','Cloudy'],

[4, 13, 'Thursday','Rainy'],

[5, 10, 'Friday','Rainy'],

[6, 15, 'Saturday','Sunny'],

[7, 12, 'Sunday','Cloudy']

])

# Creating a data frame with the raw data

dataset = pd.DataFrame(data, columns=['id', 'temperature', 'day','weather'])

#show data

print(data)

print(dataset)

def draw_data(palette_name, custom_colors):

"""

Parameters

----------

palette_name : String

for example palette_name="paired"

custom_colors : Array of colors

for example custom_colors=["#FF0B04", "#4374B3"]

-------

None.

"""

#using color palette

if len(palette_name)>0:

#if we want to use a predefined palette

sn.set_palette(sn.color_palette(palette_name))

else:

# if we want to custom palette

sn.set_palette(sn.color_palette(custom_colors))

# Plot the data, specifying a different color for data points in

# each of the day weather

ax = sn.scatterplot(x='id', y='temperature', data=dataset, hue='Weather')

# Customize the axes and title

ax.set_title("Temperature")

ax.set_xlabel("Day")

ax.set_ylabel("Average Temperature")

# top and right borders

ax.spines['top'].set_visible(True)

ax.spines['right'].set_visible(True)

plt.show()

draw_data("Paired",[])

draw_data("", ["#FF0B04", "#4374B3","yellow"])