Winning Numbers Analysis

This repository provides mark6 history heatmap information, you can download latest mark6 history @ https://en.lottolyzer.com/history/hong-kong/mark-six

Prerequisites

Ensure you have the following libraries installed:

• matplotlib
• numpy
• pandas

You can install them using pip:

pip install matplotlib numpy pandas

Usage

1. Import Necessary Libraries

Start by importing the necessary Python libraries:

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

2. Extract Winning Numbers from the CSV

Load the winning numbers from your CSV file:

winning_numbers_data = extract_winning_numbers("MarkSix.csv")

3. Visualize the Number Grid with Highlighted Numbers

Display a grid of numbers from 1 to 49, with winning numbers highlighted:

visualize_number_grid_updated(winning_numbers_data)

4. Calculate and Visualize the Heatmap

Determine the frequency of each number's appearance and visualize it:

heatmap_data = calculate_heatmap_data(winning_numbers_data)
visualize_heatmap_configurable(heatmap_data, colormap='hot', annotate=True)

5. Histogram of Winning Numbers

Show the distribution of winning numbers:

plot_histogram(winning_numbers_data)

6. Basic Statistics

Obtain insights such as the mean, median, and mode of the winning numbers:

mean_val, median_val, mode_val = calculate_statistics(winning_numbers_data)
print("Mean:", mean_val)
print("Median:", median_val)
print("Mode:", mode_val)

Customizations

You can adjust various parameters in the functions to customize visualizations. For example, in visualize_heatmap_configurable, you can change the colormap parameter to use different color schemes and set annotate to False if you don't want annotations.

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