Clarification regarding data pre-processing about n-hits HOT 2 CLOSED

Hi @vageeshmaiya,

If you want to try the method in your own data, I suggest to use the NeuralForecast library where we maintain it.
Here is an N-HiTS example .

Regarding your question, our code operates with Y_df with 'unique_id' and 'ds' columns DataFrame in long format.

• Creates 'unique_id' list from DataFrame columns.
• Fancy and fast wide to long DataFrame transformation

Here is the pandas' stack documentation.

from n-hits.

Thank you @kdgutier for your reply.

I have one more question.

d3.csv
My custom dataset attached above has Voltage, Current, Charge Capacity as parameters.
When I select series_idx = 0 I get the folowing plots:
plot_for_d3_data.pdf

This is the code used to get the plot:

`fig, axs = plt.subplots(nrows=3, ncols=1, figsize=(10, 11))
fig.tight_layout()

series = ['Voltage','Current','Charge Capacity']
series_idx = 0

for idx, w_idx in enumerate([200, 300, 400]):
axs[idx].plot(y_true[w_idx,series_idx,:],label='True')
axs[idx].plot(y_hat[w_idx,series_idx,:],label='Forecast')
axs[idx].grid()
axs[idx].set_ylabel(series[series_idx]+f' window {w_idx}',
fontsize=17)
if idx==2:
axs[idx].set_xlabel('Forecast Horizon', fontsize=17)
plt.legend()
#plt.savefig('plot_for_d3_data.pdf',bbox_inches='tight')
plt.show()
plt.close()`

My understanding is that for series_idx = 0 the plots obtained should be for the parameter voltage. But in this case it is not so.

d3_v.csv
I have also run the code with just Voltage as the parameter (dataset attached above), and have got this plot:
plot_for_d3_v_data.pdf

Could you please provide some insight on the plotting mechanism.
Thank you.

from n-hits.