<jupyter_start><jupyter_text>CSV loading<jupyter_code>import pandas as pd

price = pd.read_csv('/Users/jianboxue/Downloads/sh600000.csv')
import Data.StockDataManager as sm
settings = sm.Settings()
price.to_sql('yc', settings.get_mysql_conn(), if_exists='append')<jupyter_output>2016-02-14 14:27:23,424 INFO sqlalchemy.engine.base.Engine SHOW VARIABLES LIKE 'sql_mode'
{'fraction_non_alphanumeric': 0.12771739130434784, 'fraction_numerical': 0.0625, 'mean_word_length': 8.0, 'pattern_counts': {'":': 0, '<': 4, '<?xml version=': 0, '>': 4, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 1, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '503194', 'license': 'BSD-3-Clause', 'n_tokens_mistral': 157, 'n_tokens_neox': 137, 'n_words': 23, 'path': 'Trading_Strategies/Data/test.ipynb', 'repo_name': 'mikimaus78/ml_monorepo', 'size': '368'}