我正在尝试从一列中获取数据以用于同一列。插入数据可能有效，但是我不确定该怎么做。
import pandas as pd
df = pd.read_csv(r"C:\Users\drnov\Desktop\Stocks\TNA (3).csv")
del df['High']
del df['Low']
del df['Open']
del df['Volume']
del df['Adj Close']
df['Close'] = round(df['Close'] * 100) / 100
#Original formula (Unsimplified)
#=(AS4*(2/(12+1))+AT5*(1-(2/(12+1))))
a = df['EMA12'].shift(1) #cause of error
b = df['EMA26'].shift(1)
EMA12 = (df['Close'] * (2 /(12+1)) + 10 * (1 - (2/(12+1))))
df['EMA12'] = EMA12
df['EMA12'] = round(df['EMA12'] * 100) / 100
EMA26 = (df['Close'] * 2 / 27) + 10 * 1 - (2/27)
df['EMA26'] = EMA26
df['EMA26'] = round(df['EMA26'] * 100) /**strong text** 100
MACD = EMA12 - EMA26
df['MACD'] = MACD
df['MACD'] = round(df['MACD'] * 100) / 100
#df.head()
print(df)
实际：
AttributeError Traceback (most recent call last) <ipython-input-9-0690939d98cf> in <module>
23 pd.stats.moments.ewma(d, com=period-1, adjust=False)
24 return 100 - 100 / (1 + rs) --->
25 df['RSI'] = RSI(df['Close'], 14)
26 df.tail()
27 RSI(df, 14) <ipython-input-9-0690939d98cf> in RSI(series, period)
20 d[d.index[period-1]] = np.mean( d[:period] ) #first value is sum of avg losses
21 d = d.drop(d.index[:(period-1)]) --->
22 rs = pd.stats.moments.ewma(u, com=period-1, adjust=False)
23 pd.stats.moments.ewma(d, com=period-1, adjust=False)
24 return 100 - 100 / (1 + rs)
AttributeError: module 'pandas' has no attribute 'stats'
预期：
88 87 77 80 80 75 58 62 71 74 76 66 66 65 64 69 76 79 70 72 82 81 80 84 76 71 65 58 56 47 39 26 33 30 28 23 22 5 10 14 15 28 27 35 38 46 38 34 35 44 43 56 45 38 38 36 40 35 37 40 47 61 58 50 58 47 51 57 53 41 39 48 48 42 36 25 25 26 17 19 25 23 23 27 28 12 11 11 12 24 24 28 27 35 29 31 40 39 38 39 36 35 43 31 39 33 47 48 44 51 61 61 65 79 68 76 69 67 67 66 66 67 66 67 61 65 58 41 52 47 44 47
由于我将EMA12数据用作计算EMA12的变量，因此出现错误，我该如何绕过此错误或插入必要的数据。