用Python做股市数据分析（一）

transdat = dat.loc[:,["Open", "High", "Low", "Close"]]

if (type(stick) == str):

if stick == "day":

plotdat = transdat

stick = 1 # Used for plotting

elif stick in ["week", "month", "year"]:

if stick == "week":

transdat["week"] = pd.to_datetime(transdat.index).map(lambda x: x.isocalendar()[1]) # Identify weeks

elif stick == "month":

transdat["month"] = pd.to_datetime(transdat.index).map(lambda x: x.month) # Identify months

transdat["year"] = pd.to_datetime(transdat.index).map(lambda x: x.isocalendar()[0]) # Identify years

grouped = transdat.groupby(list(set(["year",stick]))) # Group by year and other appropriate variable

plotdat = pd.DataFrame({"Open": [], "High": [], "Low": [], "Close": []}) # Create empty data frame containing what will be plotted

for name, group in grouped:

plotdat = plotdat.append(pd.DataFrame({"Open": group.iloc[0,0],

"High": max(group.High),

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