IndexError: tuple index out of range

[adityabhandwalkar]

Hello everyone,

While finding the consensus motif n a time series of length of 550000, I chose the value of m equivalent to the half of the sampling rate so it threw an error as mentioned IndexError: tuple index out of range, I also tried the less values of m but still it is showing the same error.

Thanks

[seanlaw]

@adityabhandwalkar Can you please provide a small code example that produces this error? Otherwise, there would be little to no way for us to help as there would be many potential causes for this error.

[adityabhandwalkar]

 def osti(self,path):
        #Reading the data from the file
        
        
        df = pd.read_csv(path)
        
        data = np.array(df.iloc[:,0])      
        window_size = input('Enter the window size?\n')
    # using ostinato function in for patterns discovery in stump
        rad, TS_idx, Sub_idx = stumpy.ostinato(data ,int(window_size))
        print(rad)
        print(TS_idx)
        

and the data is 1d time series

[-0.3288759  -0.32424527 -0.3199583  ... -0.00456399 -0.01842756
 -0.03370683] <class 'numpy.ndarray'>

[seanlaw]

That's the problem. If you look at the documentation for the ostinato function, it states the following:

Ts (list) – A list of time series for which to find the most central consensus motif

Thus, the first input, Ts, must be a (Python) list of numpy arrays. Additionally, the main docstring also clearly states that the goal of ostinato is to:

Find the z-normalized consensus motif of multiple time series

Emphasis on "multiple time series" (i.e., not ONE time series).

[seanlaw]

Also, note that in the upcoming release, an error will be thrown if Ts is not a list

[adityabhandwalkar]

@seanlaw Thank you very much for your help. It is working now , I also want to ask you how can I use this with
stumpy.ostinatoed(client, Ts, m, normalize=True, p=2.0) If my data set is larger, could you please provide a small example with implementation code. That will be really helpful

[seanlaw]

@adityabhandwalkar Unfortunately, we are unable to assist you with setting up a Dask cluster as this is beyond the scope of STUMPY. We recommend taking a look at the Dask Documentation and asking questions on their Github Disucssion section.

Once you have a distributed cluster setup, then please post a new/separate question.

[adityabhandwalkar]

Sure ! Thank you