cov["Throughput_NDR"] = df.apply(
lambda row: row["result_ndr_lower_rate_value"] / 1e6, axis=1
)
- cov["Throughput_NDR_Mbps"] = df.apply(
- lambda row: row["result_ndr_lower_bandwidth_value"] /1e9, axis=1
+ cov["Throughput_NDR_Gbps"] = df.apply(
+ lambda row: row["result_ndr_lower_bandwidth_value"] / 1e9, axis=1
)
cov["Throughput_PDR"] = df.apply(
lambda row: row["result_pdr_lower_rate_value"] / 1e6, axis=1
)
- cov["Throughput_PDR_Mbps"] = df.apply(
- lambda row: row["result_pdr_lower_bandwidth_value"] /1e9, axis=1
+ cov["Throughput_PDR_Gbps"] = df.apply(
+ lambda row: row["result_pdr_lower_bandwidth_value"] / 1e9, axis=1
)
if show_latency:
for way in ("Forward", "Reverse"):