Question

5. Plot a histogram of each return (TSX and BTC separately) using 10 number of bins (experiment with the number of the bins).

Answer 1

`Hey,

Note: Brother if you have any queries related the answer please do comment. I would be very happy to resolve all your queries.

Please note TCX and BTC are not given. So, I have taken it as generaal. You can change your array according to the main question.

import numpy as np
import matplotlib.pyplot as plt

TSX = np.array([ 4.7, 4.5, 4.9, 4. , 4.6, 4.5, 4.7, 3.3, 4.6, 3.9, 3.5,
4.2, 4. , 4.7, 3.6, 4.4, 4.5, 4.1, 4.5, 3.9, 4.8, 4. ,
4.9, 4.7, 4.3, 4.4, 4.8, 5. , 4.5, 3.5, 3.8, 3.7, 3.9,
5.1, 4.5, 4.5, 4.7, 4.4, 4.1, 4. , 4.4, 4.6, 4. , 3.3,
4.2, 4.2, 4.2, 4.3, 3. , 4.1])
BTC = np.array([ 4.7, 4.5, 4.9, 4. , 4.6, 4.5, 4.7, 3.3, 4.6, 3.9, 3.5,
4.2, 4. , 4.7, 3.6, 4.4, 4.5, 4.1, 4.5, 3.9, 4.8, 4. ,
4.9, 4.7, 4.3, 4.4, 4.8, 5. , 4.5, 3.5, 3.8, 3.7, 3.9,
5.1, 4.5, 4.5, 4.7, 4.4, 4.1, 4. , 4.4, 4.6, 4. , 3.3,
4.2, 4.2, 4.2, 4.3, 3. , 4.1])
# Compute number of data points: n_data
n_data = len(TSX)
plt.subplot(2,1,1)
# Number of bins is the square root of number of data points: n_bins
n_bins = 10;
# Plot the histogram
plt.hist(TSX, bins=n_bins)

# Label axes
plt.xlabel('TSX')
plt.ylabel('count')
plt.subplot(2,1,2)
# Number of bins is the square root of number of data points: n_bins
n_bins = 10;
# Plot the histogram
plt.hist(BTC, bins=n_bins)

# Label axes
plt.xlabel('BTC')
plt.ylabel('count')

# Show histogram
plt.show()

Kindly revert for any queries

Thanks.