ajout fonctions de base pour parse des données et les analyser

analyze.py

@@ -0,0 +1,24 @@
+import pandas as pd
+import matplotlib.pyplot as plt
+
+def distribution_of_differences(df, column_name):
+    # Check if the column exists in the DataFrame
+    if column_name not in df.columns:
+        raise ValueError(f"The column '{column_name}' does not exist in the DataFrame.")
+    
+    # Calculate differences between consecutive rows for the specified column
+    differences = df[column_name].diff().abs()
+
+    # The first element of differences will be NaN since there's no previous element for the first row
+    differences = differences.dropna()  # Remove NaN values
+
+    return differences
+
+def plot_histogram(data_series, bins=10, title="Distribution of Absolute Differences"):
+    plt.figure(figsize=(8, 4))  # Set the figure size for better readability
+    plt.hist(data_series, bins=bins, color='blue', alpha=0.7, edgecolor='black')
+    plt.title(title)
+    plt.xlabel('Absolute Difference')
+    plt.ylabel('Frequency')
+    plt.grid(True)
+    plt.show()