More than 30 consecutive missing values encountered in column y. 79 NA remain. Please preprocess data manually.

[arekso]

Hi All,
I have 998 row of datas that contain floats and date types, i tried to use neuralprophet to forecast the data. I'm sure the data doesn't have NaN value, but it keep returning error : More than 30 consecutive missing values encountered in column y. 79 NA remain. Please preprocess data manually.

data.xlsx

here are my code
df_AP_Prophet_Direct y = df_AP_Prophet_Direct y = y.fillna(0)

`if "google.colab" in str(get_ipython()):
!pip install git+https://github.com/ourownstory/neural_prophet.git # may take a while
#!pip install neuralprophet # much faster, but may not have the latest upgrades/bugfixes

from neuralprophet import NeuralProphet, set_log_level
set_log_level("ERROR")`

train = y.iloc[:900,:] test = y.iloc[900:,:]

m = NeuralProphet( n_lags=5, weekly_seasonality=False, learning_rate=0.1, changepoints_range=0.95, n_changepoints=30, ) metrics = m.fit(train)
here are the error start from here :
the error : More than 30 consecutive missing values encountered in column y. 79 NA remain. Please preprocess data manually.
happened here.

Please the advice

[ourownstory]

your data may contain a lot of missing values. Please make sure you are familiar with your data and address gaps before using NeuralProphet.