Create an array called resampled slopes that contains the slope of the best fit line for 1000 bootstrap resamples of birds,
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A open and free CSS framework called Bootstrap is designed for front-end web development that prioritises mobile responsiveness. It includes design layouts for typography, formation, buttons, navigation, as well as other interface elements in HTML, CSS, and (optionally) JavaScript. With over 158,000 stars as of July 2022, Bootstrap is GitHub's eighth most starred project. An HTML, CSS, and JS library called Bootstrap aims to make the creation of educational web pages as simple as possible (as opposed to web apps). The main goal of adding this to a web project would be to apply the colour, size, font, and layout options of Bootstrap to that project.
import numpy as np
from scipy.stats import linregress
import matplotlib.pyplot as plt
# Create bootstrap resamples
np.random.seed(1)
n_resamples = 1000
resampled_slopes = np.empty(n_resamples)
for i in range(n_resamples):
resample_inds = np.random.choice(range(len(birds)), len(birds))
x = birds.iloc[resample_inds]['weight']
y = birds.iloc[resample_inds]['wing_length']
slope, _, _, _, _ = linregress(x, y)
resampled_slopes[i] = slope
# Plot distribution of resampled slopes
plt.hist(resampled_slopes, bins=50, density=True)
plt.xlabel('slope')
plt.ylabel('proportion of resamples')
plt.show()
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