用Python做股市数据分析（一）

"Close": group.iloc[-1,3]},

index = [group.index[0]]))

if stick == "week": stick = 5

elif stick == "month": stick = 30

elif stick == "year": stick = 365

elif (type(stick) == int and stick >= 1):

transdat["stick"] = [np.floor(i / stick) for i in range(len(transdat.index))]

grouped = transdat.groupby("stick")

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),

"Low": min(group.Low),

"Close": group.iloc[-1,3]},

index = [group.index[0]]))

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