issue on pandas_ta adx indicator答案

【问题标题】：issue on pandas_ta adx indicatorissue on pandas_ta adx indicator
【发布时间】：2022-11-09 11:28:41
【问题描述】：

when i run this code it's obvious get this error s missing close value.

df['ADX'] = ta.adx(df['High'], df['Low'],length = 14)
df

output:

TypeError                                 Traceback (most recent call last)
<ipython-input-23-1031ca130ef0> in <module>
----> 1 df['ADX'] = ta.adx(df['High'], df['Low'],length = 14)
      2 df

TypeError: adx() missing 1 required positional argument: 'close'

now when give closing value and run

df['ADX'] = ta.adx(df['High'], df['Low'],df['Close'],length = 14)
df

output:



`enter code here`ValueError: Wrong number of items passed 3, placement implies 1

if any one know where i am doing wrong please let me know .

this is how i am gettinf dataframe

df = get_history(symbol = "BTCUSDT", interval = "1d", start = timestamp)
df

What is ta? how do I import?
@scott Boston usually imported like - import pandas_ta as ta

标签： python pandas dataframe

【解决方案1】：

The ADX indicator generates three dataframe columns, which is why there is this exception. Do this like this:

a = ta.adx(df['High'], df['Low'], df['Close'], length = 14)
df = df.join(a)
df

you will get three columns with data

(ADX_14 DMP_14 DMN_14)

and you can remove unnecessary columns with the drop function

What is the difference here to what the other answer suggests?
I have been working on this for two days! Thank you for finally solving my issue.

【解决方案2】：

Try this:

import talib

real = talib.ADX(df['High'], df['Low'], df['Close'], timeperiod=14)
print(real)

What library do you use to calculate the indicator?

If it doesn't work out, show how you get the data and from where on "BTCUSDT"?

as wrought in heading it's pandas_ta library . import pandas_ta as ta also one thing more when i run other indiactors like : ema and rsi it works but don't know what wrong with adx df["EMA"] = ta.ema(df.Close, length = 5, offset=None, append=True) df df["RSI"] = ta.rsi(df['Close'], length = 14 ,offset=None, append=True ) df
Most likely you have something wrong with the 'BTCUSDT' data. I tried it like this:adx = ta.adx(df['H'], df['L'], df['C'], length = 14). You will have your own data with other column names not H, L, C. The indicator was calculated without any problems.
this is how i import data not able to send code at ones so break kindly join them def get_history(symbol, interval, start, end = None): bars = client.get_historical_klines(symbol = symbol, interval = interval, start_str = start, end_str = end, limit = 1000) df = pd.DataFrame(bars) df["Date"] = pd.to_datetime(df.iloc[:,0], unit = "ms")
df.columns = ["Open Time", "Open", "High", "Low", "Close", "Volume", "Clos Time", "Quote Asset Volume", "Number of Trades", "Taker Buy Base Asset Volume", "Taker Buy Quote Asset Volume", "Ignore", "Date"] df = df[["Date", "Open", "High", "Low", "Close", "Volume"]].copy() df.set_index("Date", inplace = True) for column in df.columns: df[column] = pd.to_numeric(df[column], errors = "coerce") return df
For verification, request data from yaho: import pandas_datareader.data as web df = web.DataReader('^GSPC', 'yahoo', start='2010-05-15', end='2021-10-01')

【解决方案3】：

df['ADX'] = ta.adx(df['High'], df['Low'],length = 14)['ADX_14']
you can run "print(ta.adx(df['High'], df['Low'],length = 14))"