init

scripts/plot.py

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+import pandas as pd
+import matplotlib.pyplot as plt
+
+# 读取数据
+df = pd.read_csv("./x.csv")
+
+# group by mode
+modes = df["mode"].unique()
+
+for mode in modes:
+    plt.figure(figsize=(12, 6))
+    subset = df[df["mode"] == mode]
+
+    # group by key_size/value_size
+    key_value_combinations = subset.groupby(["key_size", "value_size"])
+
+    for (key_size, value_size), group in key_value_combinations:
+        label = f"key={key_size}B, val={value_size}B"
+        plt.plot(group["threads"], group["ops"], marker="o", label=label)
+
+    plt.title(f"Performance: {mode.upper()}")
+    plt.xlabel("Threads")
+    plt.ylabel("OPS")
+    plt.grid(True)
+    plt.legend()
+    plt.tight_layout()
+    plt.savefig(f"{mode}.png")
+    plt.close()