# Import necessary libraries
import pandas as pd
import matplotlib.pyplot as plt

# Load the CSV data
data = pd.read_csv("datasets/firecounts.csv")

# Display first few rows to verify
print(data.head())

# Extract the 'Fire Counts' column
fire_counts = data['Fire Counts']

# Create a probability histogram
plt.figure(figsize=(10,6))
plt.hist(fire_counts, bins=10, density=True, edgecolor='black', alpha=0.7)  # density=True makes it a probability histogram
plt.title('Fire Counts (2001-2024)')
plt.xlabel('Number of Fires')
plt.ylabel('Probability')
plt.grid(axis='y', linestyle='--', alpha=0.7)
plt.show()

   Year  Fire Counts
0  2001          199
1  2002          127
2  2003          170
3  2004          219
4  2005          204

Session 05: Probability¶

I as a novice, it is quite difficult the understand the concepts of coding and programming. However, I remain thankful to the resource persons, colleagues for helping me to learn the code.¶

I feel learning is made easier with having access to AI assistance, in particular, Chatgpt for enabling us the run the text code and test it in Jupyter lab.¶

Assignment:¶

Investigate the probability distribution of your data¶

Set up template notebooks and slides for your data set analysis¶

Probability Distribution of my data- Fire counts¶

Modeling Histogram¶