Demo Website - Example of Python codes

Below is an example to illustrate how to include executable code.

Python Code:

Code

x = 5
y = 3

print(x + y)

Code

import pandas as pd

data = {
  'calories': [420, 380, 390],
  'duration': [50, 40, 45]
}

#load data into a DataFrame object:
df = pd.DataFrame(data)

print(df)

   calories  duration
0       420        50
1       380        40
2       390        45

Data Visualizations

Generate Example graphs using the penguins data from palmerpenguins using Python, Seaborn and Matplotlib

About the data

Data were collected and made available by Dr. Kristen Gorman and the Palmer Station, Antarctica LTER, a member of the Long Term Ecological Research Network.

The dataset contain data for 344 penguins. There are 3 different species of penguins in this dataset, collected from 3 islands in the Palmer Archipelago, Antarctica.

Artwork

You are invited to use this accompanying artwork when you use or teach with palmerpenguins! Please cite with "Artwork by @allison_horst".

Meet the Palmer penguins

Bill dimensions

The culmen is the upper ridge of a bird’s bill. In the simplified penguins data, culmen length and depth are renamed as variables bill_length_mm and bill_depth_mm to be more intuitive.

For this penguin data, the culmen (bill) length and depth are measured as shown below (thanks Kristen Gorman for clarifying!):

Installation

You can install the released version of palmerpenguins from PyPi with:

pip install palmerpenguins

To install the development version from GitHub use:

pip install git+https://github.com/mcnakhaee/palmerpenguins.git

Code

# To install the released version from PyPi use:
# pip install pandas
# pip install seaborn
# pip install matplotlib
# pip install palmerpenguins
# pip install plotly

# To install the development version from GitHub use:
# pip install git+https://github.com/mcnakhaee/palmerpenguins.git

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

penguins = load_penguins()

sns.set_style('whitegrid')

Dataset `Penguins` are fun to Summarize and Visualize!

Code

df = penguins.groupby(['species'])['island'].count()
df = pd.DataFrame(df)
df

	island
species
Adelie	152
Chinstrap	68
Gentoo	124

Code

df = penguins.groupby('species').mean(numeric_only=True)
temp_df_left = df.loc[:, df.columns != 'year'].round(2)
temp_df_right = df['year'].round()

df = temp_df_left.merge(temp_df_right, left_on = 'species', right_on = 'species')
df

	bill_length_mm	bill_depth_mm	flipper_length_mm	body_mass_g	year
species
Adelie	38.79	18.35	189.95	3700.66	2008.0
Chinstrap	48.83	18.42	195.82	3733.09	2008.0
Gentoo	47.50	14.98	217.19	5076.02	2008.0

Generate Visualizations

Penguin body mass versus flipper length

Code

df = penguins

# Create an array with the colors you want to use
colors = ['#FF8C00', '#008b8b', '#800080']

marker_list = ['o' , 's', '^']

# Set your custom color palette
sns.set_palette(sns.color_palette(colors))

p = sns.scatterplot(data = df,
           x = 'flipper_length_mm', 
           y = 'body_mass_g',
           hue = 'species', 
           style = 'species',
           markers = marker_list
           )

# Customize the axes and title
p.set_title('Flipper length and body mass for Adelie, Chinstrap and Gentoo Penguins')
p.set_xlabel('Flipper length (mm)')
p.set_ylabel('Body mass (g)')

plt.suptitle('Penguin size, Palmer Station LTER')
plt.show()

Penguin flipper length versus bill length

Code

df = penguins

# Create an array with the colors you want to use
colors = ['#FF8C00', '#008b8b', '#800080']

marker_list = ['o' , 's', '^']

# Set your custom color palette
sns.set_palette(sns.color_palette(colors))

p = sns.scatterplot(data = df,
           x = 'flipper_length_mm', 
           y = 'bill_length_mm',
           hue = 'species', 
           style = 'species',
           markers = marker_list
           )

# Customize the axes and title
p.set_title('Dimensions for Adelie, Chinstrap and Gentoo Penguins at Palmer Station LTER')
p.set_xlabel('Flipper length (mm)')
p.set_ylabel('Bill length (mm)')

plt.suptitle('Flipper and bill length')
plt.show()

Penguin bill length versus depth

Code

df = penguins

# Create an array with the colors you want to use
colors = ['#FF8C00', '#008b8b', '#800080']

marker_list = ['o' , 's', '^']

# Set your custom color palette
sns.set_palette(sns.color_palette(colors))

p = sns.lmplot(data = df,
           x = 'bill_length_mm', 
           y = 'bill_depth_mm',
           hue = 'species', 
           markers = marker_list
           )

# Customize the axes and title
plt.title('Penguin bill dimensions')
plt.xlabel('Bill length (mm)')
plt.ylabel('Bill depth (mm)')

plt.suptitle('Bill length and depth for Adelie, Chinstrap and Gentoo Penguins at Palmer Station LTER')
plt.show()

Histogram: Penguin flipper lengths

Code

df = penguins

# Create an array with the colors you want to use
colors = ['#FF8C00', '#008b8b', '#800080']

# Set your custom color palette
sns.set_palette(sns.color_palette(colors))

sns.histplot(data = df,
             x = 'flipper_length_mm', 
             hue = 'species',
             bins = 30
             )

plt.title('Penguin flipper lengths')
plt.xlabel('Flipper length (mm)')
plt.ylabel('Frequency')

plt.show()

BoxPlot & Jitter: Penguin flipper lengths

Code

df = penguins

# Create an array with the colors you want to use
colors = ['#FF8C00', '#008b8b', '#800080']

# Set your custom color palette
sns.set_palette(sns.color_palette(colors))

# Usual boxplot
p = sns.boxplot(data = df,
                x = 'species',
                y = 'flipper_length_mm', 
                hue = 'species'
                )
p.legend_.remove()
             
# Add jitter with the swarmplot function
p = sns.stripplot(data = df,
                  x = 'species',
                  y = 'flipper_length_mm', 
                  hue = 'species',
                  marker = 'o',
                  alpha = 0.5
                  )
p.legend_.remove()

plt.title('Penguin flipper lengths')
plt.xlabel('Species')
plt.ylabel('Flipper length (mm)')

plt.show()

Histogram: Penguin Body mass

Code

df = penguins

# Create an array with the colors you want to use
colors = ['#FF8C00', '#008b8b', '#800080']

# Set your custom color palette
sns.set_palette(sns.color_palette(colors))

sns.histplot(data = df,
             x = 'body_mass_g', 
             hue = 'species',
             bins = 30
             )

plt.title('Penguin body mass')
plt.xlabel('Body mass (g)')
plt.ylabel('Frequency')

plt.show()

Scatterplot: Penguin flipper and body mass by sex

Code

df = penguins

# Create an array with the colors you want to use
colors = ['#FF8C00', '#008b8b', '#800080']

marker_list = ['o' , 's', '^']

# Set your custom color palette
sns.set_palette(sns.color_palette(colors))

p = sns.relplot(data = df,
           x = 'flipper_length_mm', 
           y = 'body_mass_g',
           col = "species",
           hue = 'sex', 
           style = 'sex',
           height = 4, 
           aspect = 0.7,
           kind="scatter"
           )

# Customize the axes and title
p.set_axis_labels('Flipper length (mm)', 'Body mass (g)')
plt.show()

Interactive Visualization

Plotly: Scatterplot Penguin flipper and body mass by sex

Code

import plotly.express as px

df = penguins
fig = px.scatter(df, 
                 x="flipper_length_mm", 
                 y="body_mass_g", 
                 color = "sex",
                 facet_col="species")

fig.show()

Citation

To cite palmerpenguins in publications use:

Horst AM, Hill AP, Gorman KB (2020). palmerpenguins: Palmer Archipelago (Antarctica) penguin data. R package version 0.1.0. https://allisonhorst.github.io/palmerpenguins/. doi: 10.5281/zenodo.3960218.

A BibTeX entry for LaTeX users is

@Manual{,
title = {palmerpenguins: Palmer Archipelago (Antarctica) penguin data}, author = {Allison Marie Horst and Alison Presmanes Hill and Kristen B Gorman}, year = {2020}, note = {R package version 0.1.0}, doi = {10.5281/zenodo.3960218}, url = {https://allisonhorst.github.io/palmerpenguins/}, }

Reuse

https://creativecommons.org/licenses/by-sa/4.0/

Citation

BibTeX citation:

@online{shrestha,
  author = {Shrestha, Mohit},
  title = {Example of {Python} Codes},
  url = {https://mohitshrestha.github.io/posts/example_python_codes},
  langid = {en}
}

For attribution, please cite this work as:

Shrestha, Mohit. n.d. “Example of Python Codes.” https://mohitshrestha.github.io/posts/example_python_codes.

Data Visualizations

About the data

Artwork

Meet the Palmer penguins

Bill dimensions

Installation

Dataset Penguins are fun to Summarize and Visualize!

Generate Visualizations

Penguin body mass versus flipper length

Penguin flipper length versus bill length

Penguin bill length versus depth

Histogram: Penguin flipper lengths

BoxPlot & Jitter: Penguin flipper lengths

Histogram: Penguin Body mass

Scatterplot: Penguin flipper and body mass by sex

Interactive Visualization

Plotly: Scatterplot Penguin flipper and body mass by sex

Citation

Reuse

Citation

Dataset `Penguins` are fun to Summarize and Visualize!