def get_df():
df = stocklib.get_df(
filepath='./SH999999.txt',
close_index=4,
append=True,
reverse=False,
header=['date', 'open', 'high', 'low', 'close', 'volume', 'money'])
df['date'] = pd.to_datetime(df['date'], format='%Y%m%d')
return df
def get_df():
df = stocklib.get_df(
filepath="./SH999999.txt",
close_index=4,
append=True,
reverse=False,
max_days=6000,
header=["date", "open", "high", "low", "close", "volume", "money"],
)
df["date"] = pd.to_datetime(df["date"], format="%Y%m%d")
return df
def get_df(code):
filepath, csvpath = get_paths(code)
if not filepath:
print '%s filepath is none...' % code
return
df = stocklib.get_df(
filepath=filepath,
csvpath=csvpath,
close_index=4,
append=True,
reverse=False,
header=['date', 'open', 'high', 'low', 'close', 'volume', 'money'])
df['date'] = pd.to_datetime(df['date'], format='%Y%m%d')
return df