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convert_data.py
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31 lines (27 loc) · 1.01 KB
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import pandas as pd
import sqlite3
import glob
import h5py
def convert_sql_to_csv():
con = sqlite3.connect("../data/stock.db")
code_list = con.execute("SELECT name from sqlite_master WHERE type='table'").fetchall()
code = code_list[0][0]
for code in code_list:
code = code[0]
data = pd.read_sql("SELECT * from '%s'" % code, con, index_col='일자').sort_index()
data.to_csv('../data/stocks/%s.csv' % code)
def convert_sql_to_h5():
con = sqlite3.connect("../data/stock.db")
code_list = con.execute("SELECT name from sqlite_master WHERE type='table'").fetchall()
code = code_list[0][0]
for code in code_list:
code = code[0]
data = pd.read_sql("SELECT * from '%s'" % code, con, index_col='일자').sort_index()
data.to_hdf('../data/h5/%s.h5'%code,'df',mode='w',data_columns=True)
def read_h5():
code_list = glob.glob('../data/h5/*')
for code in code_list[:10]:
h = h5py.File(code)
print(h)
if __name__ == '__main__':
read_h5()