chaokunyang commented on PR #2025:
URL: https://github.com/apache/fury/pull/2025#issuecomment-2614292874
plot script:
```python
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
import io
data = """
"Benchmark","Mode","Threads","Samples","Score","Score
Error","Unit","enableChunkEncoding","mapSize"
"org.apache.fury.benchmark.MapSerializationSuite.deserializeIntMap","thrpt",1,9,4466051.463287,873291.405075,"ops/s",false,5
"org.apache.fury.benchmark.MapSerializationSuite.deserializeIntMap","thrpt",1,9,1350641.974999,81715.924297,"ops/s",false,20
"org.apache.fury.benchmark.MapSerializationSuite.deserializeIntMap","thrpt",1,9,497254.149014,68862.874865,"ops/s",false,50
"org.apache.fury.benchmark.MapSerializationSuite.deserializeIntMap","thrpt",1,9,266334.668251,35573.243688,"ops/s",false,100
"org.apache.fury.benchmark.MapSerializationSuite.deserializeIntMap","thrpt",1,9,122097.002001,27652.497466,"ops/s",false,200
"org.apache.fury.benchmark.MapSerializationSuite.deserializeIntMap","thrpt",1,9,5888333.717480,739656.066973,"ops/s",true,5
"org.apache.fury.benchmark.MapSerializationSuite.deserializeIntMap","thrpt",1,9,2036689.629240,254260.659777,"ops/s",true,20
"org.apache.fury.benchmark.MapSerializationSuite.deserializeIntMap","thrpt",1,9,734567.196053,49056.877252,"ops/s",true,50
"org.apache.fury.benchmark.MapSerializationSuite.deserializeIntMap","thrpt",1,9,367623.736912,59614.675972,"ops/s",true,100
"org.apache.fury.benchmark.MapSerializationSuite.deserializeIntMap","thrpt",1,9,170496.570903,32886.215740,"ops/s",true,200
"org.apache.fury.benchmark.MapSerializationSuite.serializeIntMap","thrpt",1,9,7893446.540629,808837.061250,"ops/s",false,5
"org.apache.fury.benchmark.MapSerializationSuite.serializeIntMap","thrpt",1,9,2584359.305934,129956.799737,"ops/s",false,20
"org.apache.fury.benchmark.MapSerializationSuite.serializeIntMap","thrpt",1,9,1036138.030458,84703.530824,"ops/s",false,50
"org.apache.fury.benchmark.MapSerializationSuite.serializeIntMap","thrpt",1,9,394205.916586,25123.147428,"ops/s",false,100
"org.apache.fury.benchmark.MapSerializationSuite.serializeIntMap","thrpt",1,9,206653.480783,30347.851656,"ops/s",false,200
"org.apache.fury.benchmark.MapSerializationSuite.serializeIntMap","thrpt",1,9,7337531.043356,437811.548408,"ops/s",true,5
"org.apache.fury.benchmark.MapSerializationSuite.serializeIntMap","thrpt",1,9,2474583.537284,379139.624785,"ops/s",true,20
"org.apache.fury.benchmark.MapSerializationSuite.serializeIntMap","thrpt",1,9,806053.192966,112383.449082,"ops/s",true,50
"org.apache.fury.benchmark.MapSerializationSuite.serializeIntMap","thrpt",1,9,434183.111785,64625.641813,"ops/s",true,100
"org.apache.fury.benchmark.MapSerializationSuite.serializeIntMap","thrpt",1,9,208393.763140,22779.649134,"ops/s",true,200
"""
# Read the data into a DataFrame
df = pd.read_csv(io.StringIO(data))
# Function to plot the data for each benchmark type
def plot_benchmark(dataframe, benchmark_name):
# Filter the data for the given benchmark name
df_benchmark =
dataframe[dataframe['Benchmark'].str.contains(benchmark_name)]
# Set up the matplotlib figure
plt.figure(figsize=(10, 6))
# Plot the scores with and without Chunk Encoding
sns.barplot(data=df_benchmark, x='mapSize', y='Score',
hue='enableChunkEncoding')
# Add title and labels
plt.title(f'{benchmark_name} performance')
plt.xlabel('Map Size')
plt.ylabel('Score (ops/s)')
# Show the plot
plt.legend(title='Chunk Encoding')
plt.show()
# Plot for each benchmark type
benchmark_types = [
"deserializeIntMap",
"deserializeStringMap",
"serializeIntMap",
"serializeStringMap"
]
for benchmark in benchmark_types:
plot_benchmark(df, benchmark)
```
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