Create app.py

app.py

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+# Importing necessary libraries
+import pandas as pd
+import seaborn as sns
+import matplotlib.pyplot as plt
+
+# Setting up seaborn
+sns.set(color_codes=True)
+
+# Function to load and preprocess data
+def load_and_preprocess_data(filepath):
+    try:
+        df = pd.read_csv(filepath)
+        df['Start_Time'] = pd.to_datetime(df['Start_Time'], format='mixed', errors='coerce')
+        return df
+    except Exception as e:
+        print(f"An error occurred while loading data: {e}")
+        return None
+
+# Function for plotting hourly accidents distribution
+def plot_hourly_accidents(df):
+    try:
+        fig, axes = plt.subplots(4, 2, figsize=(18, 10))
+        plt.subplots_adjust(hspace=0.5)
+        blue_palette = sns.light_palette("blue", n_colors=8, reverse=True)
+
+        for i in range(8):
+            ax = axes[i//2, i%2]
+            if i == 0:
+                sns.histplot(df['Start_Time'].dt.hour, bins=24, ax=ax, color=blue_palette[i])
+                ax.set_title("Overall Hourly Accident Distribution")
+            else:
+                day_data = df[df['Start_Time'].dt.dayofweek == i-1]
+                sns.histplot(day_data['Start_Time'].dt.hour, bins=24, ax=ax, color=blue_palette[i])
+                ax.set_title(f"Hourly Distribution: {day_data['Start_Time'].dt.day_name().iloc[0]}")
+            ax.set_xlabel("Hour")
+            ax.set_ylabel("Accidents")
+
+        plt.tight_layout()
+        plt.show()
+    except Exception as e:
+        print(f"An error occurred while plotting hourly accidents: {e}")
+
+# Function for plotting weather conditions
+def plot_weather_conditions(df):
+    try:
+        weather = df['Weather_Condition'].value_counts().head(15)
+        plt.figure(figsize=(30, 10))
+        sns.barplot(x=weather.index, y=weather.values, palette="Reds_r")
+        plt.xticks(rotation=45, fontsize=15)
+        plt.yticks(fontsize=15)
+        plt.xlabel("Weather Condition", fontsize=20)
+        plt.ylabel("Count", fontsize=20)
+        plt.title("Weather Condition vs Accidents", fontsize=30)
+        plt.show()
+    except Exception as e:
+        print(f"An error occurred while plotting weather conditions: {e}")
+
+# Main script
+def main():
+    # Load and preprocess data
+    df = load_and_preprocess_data('US_Accidents_March23.csv')
+
+    # Check if DataFrame is loaded correctly
+    if df is not None and not df.empty:
+        # Plotting functions
+        plot_hourly_accidents(df)
+        plot_weather_conditions(df)
+    else:
+        print("Data loading failed or the DataFrame is empty.")
+
+# Run the main script
+main()