stock benchmark #2
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| import numpy as np | ||
| import time | ||
| import warnings | ||
| warnings.filterwarnings("ignore") |
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Do we have to filter all the warnings?
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| def stock_benchmark(): | ||
| data_path = '../test_csv/stock.csv' |
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Is it possible to get the file name from the parsed args?
| data_path = '../test_csv/stock.csv' | ||
| xorbits.init() | ||
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| p_stocks_df = pd.read_csv(data_path).iloc[:10000] |
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Why don't we just use xorbits.pandas?
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A benchmark for processing of stock volume and price data.