final commit

2025_01_21/main.py

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+import pandas as pd
+import matplotlib.pyplot as plt
+
+# Load the flow data (Orniac & Figeac)
+flow_file_path = "débit_Orniac&Figeac.xlsx"
+flow_data = pd.read_excel(flow_file_path, parse_dates=["Date et heure"])
+
+# Load the rainfall data
+rainfall_file_path = "Q_46_latest-2023-2025_RR-T-Vent.xlsx"
+rainfall_data = pd.read_excel(rainfall_file_path, parse_dates=["Date"])
+
+# Resample rainfall data to hourly to match flow data
+rainfall_data.set_index("Date", inplace=True)
+
+# Ensure the data overlaps in date ranges
+min_date = min(flow_data["Date et heure"].min(), rainfall_data["Date"].min())
+max_date = max(flow_data["Date et heure"].max(), rainfall_data["Date"].max())
+
+flow_data = flow_data[(flow_data["Date et heure"] >= min_date) & (flow_data["Date et heure"] <= max_date)]
+rainfall_hourly = rainfall_data[(rainfall_data["Date"] >= min_date) & (rainfall_data["Date"] <= max_date)]
+
+# Create the plot
+fig, (ax1, ax2) = plt.subplots(2, 1, figsize=(12, 8), gridspec_kw={"height_ratios": [1, 2]}, sharex=True)
+
+# Rainfall subplot
+ax1.bar(
+    rainfall_hourly["Date"],
+    rainfall_hourly["Rainfall"],
+    color="dodgerblue",
+    alpha=0.7,
+    width=0.02,
+    label="Rainfall (mm)"
+)
+ax1.set_ylabel("Rainfall (mm)", fontsize=12)
+ax1.set_ylim(10, 0)  # Reverse y-axis for rainfall
+ax1.legend(fontsize=10)
+ax1.grid(True, linestyle="--", alpha=0.7)
+
+# Flow subplot
+ax2.plot(
+    flow_data["Date et heure"],
+    flow_data["Valeur à Orniac (en m³/s)"],
+    label="Orniac Flow (m³/s)",
+    color="orange",
+    linewidth=1.5
+)
+ax2.plot(
+    flow_data["Date et heure"],
+    flow_data["Valeur à Figeac (en m³/s)"],
+    label="Figeac Flow (m³/s)",
+    color="blue",
+    linewidth=1.5
+)
+ax2.set_ylabel("Flow (m³/s)", fontsize=12)
+ax2.set_xlabel("Date and Time", fontsize=12)
+ax2.legend(fontsize=10)
+ax2.grid(True, linestyle="--", alpha=0.7)
+
+# Finalize the layout
+fig.suptitle("Rainfall and Flow at Figeac and Orniac", fontsize=16)
+plt.xticks(rotation=45)
+plt.tight_layout(rect=[0, 0, 1, 0.95])
+
+# Show the plot
+plt.show()