def read_data(file_name):
stock = pd.read_csv(file_name, parse_dates=True, index_col=0)
n_samples = len(stock)
# ditch samples with NAN values
stock = stock.dropna(axis=0)
# flip order from newest to oldest to oldest to newest
#stock = stock.iloc[::-1]
# trim data
stock = stock[['Open']]
# convert object to floats
stock['Open'] = pd.to_numeric(stock['Open'], errors='coerce')
# all stock is needed to walk back dates for testing hold out data
return stock
#############################################################################################
# load and combine stock indexes, matching the dates
LoadAndMatchDates.py 文件源码
python
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