本文介绍了用 pandas 计算指数移动平均线的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
我尝试用大熊猫计算ema，但结果不好.我尝试了两种技术来计算:
I try to calculate ema with pandas but the result is not good.I try 2 techniques to calculate :
第一种技术是熊猫函数ewn:
The first technique is the panda's function ewn:
window = 100
c = 2 / float(window + 1)
df['100ema'] = df['close'].ewm(com=c).mean()
但是此函数的最后结果给出了. 2695.4，但实际结果是2656.2
But the last result of this function gives. 2695.4 but the real result is 2656.2
第二种技术是
window = 100
c = 2 / float(window + 1)
df['100sma'] = df['close'].rolling(window).mean()
df['100ema'] = (c * df['close']) + ((1 - c) * df['100sma'])
结果是2649.1，它比第一种技术更近，但总是不好
The result is 2649.1 it's closer than first technique but is always not good
sma函数给出了很好的结果
The sma function give the good result
**编辑**
响应为
df['100ema'] = pd.Series.ewm(df['close'], span=window).mean()
推荐答案
如果要计算EWMA或Python中的任何技术指标，建议使用 ta-lib .
If you want to calculate EWMA or any technical indicator in Python, I recommend using ta-lib.
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