TA-Lib EMA gives inappropriate NaN values

Question

I am using ta-lib for Technical Analysis in Python. Here is a small piece of code I wrote:

SBIN=pd.read_csv('SBIN.NS.csv')
ema=TA.SMA(SBIN.Close,timeperiod=20)

The first 19 values in the ema array are NaN, which are totally understandable. But after a certain position also, ema has NaN values. Why is this happening?

Could you check your SBIN.Close? May be NaNs are there? – truf Oct 04 '18 at 00:22 — truf, Oct 04 '18 at 00:22
That was indeed the case. Thank you. – Ronith Oct 04 '18 at 03:57 — Ronith, Oct 04 '18 at 03:57

score 1 · Answer 1 · answered Jan 09 '20 at 16:38

1

The csv file SBIN.NS.csv contains NaN values.SBIN.dropna(axis=0) will solve the problem.It will drop all the rows that contains NaN values.

SBIN=pd.read_csv('SBIN.NS.csv')
SBIN.dropna(axis=0)
ema=TA.SMA(SBIN.Close,timeperiod=20)

answered Jan 09 '20 at 16:38

Madhusudan Jha

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TA-Lib EMA gives inappropriate NaN values

1 Answers1