【谎言大揭秘】Modin真的比pandas运行更快吗？

# pip install ray
# pip install dask
# pip install modin

Successfully installed aiohttp-3.6.2 async-timeout-3.0.1 google-2.0.3 multidict-4.7.6 py-spy-0.3.3 ray-0.8.5 redis-3.4.1 yarl-1.4.2
Requirement already satisfied: dask in /Applications/anaconda3/lib/python3.7/site-packages (2.11.0)
Successfully installed modin-0.7.3 pandas-1.0.3
Successfully uninstalled ray-0.8.5
Successfully installed pyarrow-0.16.0 ray-0.8.4

import modin.pandas as pd

import time
import modin.pandas as pd

start = time.time()
#Taxi_Trips(正式).csv 5.38G
df = pd.read_csv(r'/Usershttps://img.qb5200.com/download-x/dugh/Desktop/芝加哥市出租车行车记录(2013年至今)/Taxi_Trips(正式).csv')
end = time.time()
print(end-start)

import time
import pandas as pd

start = time.time()
#Taxi_Trips(正式).csv 5.38G
df = pd.read_csv(r'/Usershttps://img.qb5200.com/download-x/dugh/Desktop/芝加哥市出租车行车记录(2013年至今)/Taxi_Trips(正式).csv')
end = time.time()
print(end-start)

# 如果待操作的数据文件远大于电脑内存RAM，可以设置
import os
os.environ["MODIN_OUT_OF_CORE"]='true'
import modin.pandas as pd