Adds script to plot the usage of bandwidth.

plot_stacked_bandwidth.py

@@ -0,0 +1,58 @@
+#!/usr/bin/env python3
+
+from argparse import ArgumentParser
+
+
+import pandas as pd
+import matplotlib.pyplot as plt
+
+if __name__ == "__main__":
+    parser = ArgumentParser()
+    parser.add_argument("-f", "--file", required=True, help="Serial CSV")
+    parser.add_argument("--save", default=None, help="Location to save pdf file.")
+
+    args = parser.parse_args()
+
+    df = pd.read_csv(args.file)
+    df["time_rel"] = df["time"] - df["time"].iloc[0]
+    df.index = df["time_rel"] / 60
+
+    for i in range(1, 5):
+        df["LTE_SCC{}_effective_bw".format(i)] = df["LTE_SCC{}_bw".format(i)]
+
+        mask = df["LTE_SCC{}_state".format(i)].isin(["ACTIVE"])
+        df["LTE_SCC{}_effective_bw".format(i)] = df[
+            "LTE_SCC{}_effective_bw".format(i)
+        ].where(mask, other=0)
+
+    df["SCC1_NR5G_effective_bw"] = df["SCC1_NR5G_bw"].fillna(0)
+    df["effective_bw_sum"] = (
+        df["SCC1_NR5G_effective_bw"]
+        + df["LTE_SCC1_effective_bw"]
+        + df["LTE_SCC2_effective_bw"]
+        + df["LTE_SCC3_effective_bw"]
+        + df["LTE_SCC4_effective_bw"]
+        + df["LTE_bw"]
+    )
+    bw_cols = [
+        "SCC1_NR5G_effective_bw",
+        "LTE_bw",
+        "LTE_SCC1_effective_bw",
+        "LTE_SCC2_effective_bw",
+        "LTE_SCC3_effective_bw",
+        "LTE_SCC4_effective_bw",
+    ]
+
+    ax = df[bw_cols].plot.area(stacked=True)
+    ax.set_ylabel("bandwidth [MHz]")
+    ax.set_xlabel("time [minutes]")
+
+    L = plt.legend()
+    L.get_texts()[0].set_text("5G main")
+    L.get_texts()[1].set_text("4G main")
+    L.get_texts()[2].set_text("4G SCC 1")
+    L.get_texts()[3].set_text("4G SCC 2")
+    L.get_texts()[4].set_text("4G SCC 3")
+    L.get_texts()[5].set_text("4G SCC 4")
+
+    plt.show()