54 lines
1.4 KiB
Python
54 lines
1.4 KiB
Python
import pandas as pd
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import matplotlib.pyplot as plt
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from adjustText import adjust_text
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import sys
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def real_mode(m):
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if m == "mixed":
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return "MIXED (70% Get, 30% Insert)"
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return m.upper()
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name = sys.argv[1]
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prefix = name.split(".")[0]
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# 读取数据
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df = pd.read_csv(f"./{name}")
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# 按 mode 分组
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modes = df["mode"].unique()
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for mode in modes:
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plt.figure(figsize=(16, 9))
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subset = df[df["mode"] == mode]
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# 按 key_size/value_size 分组
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key_value_combinations = subset.groupby(["key_size", "value_size"])
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texts = []
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for (key_size, value_size), group in key_value_combinations:
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label = f"key={key_size}B, val={value_size}B"
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x = group["threads"]
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y = group["ops"]
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# 绘制折线
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line, = plt.plot(x, y, marker="o", label=label)
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# 添加文本标签
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for xi, yi, ops in zip(x, y, group["ops"]):
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texts.append(
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plt.text(xi, yi, f"{int(ops)}", color=line.get_color(), fontsize=12)
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)
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# 自动调整文本位置
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adjust_text(texts, arrowprops=dict(arrowstyle="->", color='gray'))
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# 设置图表样式
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plt.title(f"{prefix.upper()}: {real_mode(mode)}", fontsize=16)
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plt.xlabel("Threads", fontsize=14)
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plt.ylabel("OPS", fontsize=14)
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plt.grid(True, linestyle="--", alpha=0.6)
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plt.legend()
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plt.tight_layout()
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plt.savefig(f"{prefix}_{mode}.png")
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plt.close()
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