Run this notebook: Open in Colab Open in Kaggle

Let’s learn about birds

Import pandas and matplotlib along with the data

import pandas as pd
import matplotlib.pyplot as plt
birds = pd.read_csv('../../../data/birds.csv')
birds.head()

Let’s visualize these birds’ wingspan by showing a very basic line plot

plt.title('Max Wingspan in Centimeters')
plt.ylabel('Wingspan (CM)')
plt.xlabel('Birds')
wingspan = birds.MaxWingspan 
wingspan.plot()

Show the birds’ names correlated to their wingspan

plt.title('Max Wingspan in Centimeters')
plt.ylabel('Wingspan (CM)')
plt.xlabel('Birds')
plt.xticks(rotation=45)
x = birds['Name'] 
y = birds['MaxWingspan']

plt.plot(x, y)

plt.show()

Label the birds whose wingspan is particularly large and are probably outliers

plt.title('Max Wingspan in Centimeters')
plt.ylabel('Wingspan (CM)')
plt.tick_params(axis='both',which='both',labelbottom=False,bottom=False)

for i in range(len(birds)):
    x = birds['Name'][i]
    y = birds['MaxWingspan'][i]
    plt.plot(x, y, 'bo')
    if birds['MaxWingspan'][i] > 500:
        plt.text(x, y * (1 - 0.05), birds['Name'][i], fontsize=12)
    
plt.show()
    

    

Remove those outliers and redraw the wingspan

plt.title('Max Wingspan in Centimeters')
plt.ylabel('Wingspan (CM)')
plt.xlabel('Birds')
plt.tick_params(axis='both',which='both',labelbottom=False,bottom=False)
for i in range(len(birds)):
    x = birds['Name'][i]
    y = birds['MaxWingspan'][i]
    if birds['Name'][i] not in ['Bald eagle', 'Prairie falcon']:
        plt.plot(x, y, 'bo')
plt.show()
    

Working with bar charts, show the categories of birds

birds.plot(x='Category',
        kind='bar',
        stacked=True,
        title='Birds of Minnesota')

Show the count of birds within categories, and show the labels horizontally so we can read the category names

category_count = birds.value_counts(birds['Category'].values, sort=True)
plt.rcParams['figure.figsize'] = [6, 12]
category_count.plot.barh()

Show the categories with their maxlength displayed per category

maxlength = birds['MaxLength']
plt.barh(y=birds['Category'], width=maxlength)
plt.rcParams['figure.figsize'] = [6, 12]
plt.show()

Superimpose the birds minimum and maximum lengths per category

minLength = birds['MinLength']
maxLength = birds['MaxLength']
category = birds['Category']

plt.barh(category, maxLength)
plt.barh(category, minLength)

plt.show()