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dosang.yoon
2022-06-23 23:30:18 +09:00
parent e6408db76f
commit 0d523678a6
3 changed files with 176 additions and 40 deletions
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19
stockpredictor/analysis/IchimokuCloud.py
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@@ -68,8 +68,25 @@ class IchimokuCloud:
move_LeadingSpan2.insert(0, None)
# leadingSpan2에 맞추어 뒤로 빈 row를 채운다.
data = {"DATE": [], "close": [], "diff": [], "open": [], "high": [], "low": [], "volume": [], "avg5": [], "avg10": [], "avg20": [], "avg60": [], "avg120": [], "avg200": [], "avg240": []}
for i in range(len(move_LeadingSpan2) - len(df)):
df = df.append({"DATE": None, "close": None, "diff": None, "open": None, "high": None, "low": None, "volume": None, "avg3": None, "avg5": None, "avg7": None, "avg10": None, "avg20": None, "avg30": None, "avg60": None, "avg90": None, "avg100": None, "avg120": None, "avg150": None, "avg180": None, "avg200": None, "avg240": None}, ignore_index=True)
#df = df.append({"DATE": None, "close": None, "diff": None, "open": None, "high": None, "low": None, "volume": None,"avg3": None, "avg5": None, "avg7": None, "avg10": None, "avg20": None, "avg30": None, "avg60": None,"avg90": None, "avg100": None, "avg120": None, "avg150": None, "avg180": None, "avg200": None,"avg240": None}, ignore_index=True)
data["DATE"].append(None)
data["close"].append(None)
data["diff"].append(None)
data["open"].append(None)
data["high"].append(None)
data["low"].append(None)
data["volume"].append(None)
data["avg5"].append(None)
data["avg10"].append(None)
data["avg20"].append(None)
data["avg60"].append(None)
data["avg120"].append(None)
data["avg200"].append(None)
data["avg240"].append(None)
df_temp = pd.DataFrame(data)
df = pd.concat([df, df_temp])
move_changeLine = list(changeLine.values)
for i in range(len(move_LeadingSpan2) - len(move_changeLine)):
move_changeLine.append(None)