This is my code:
file_path = 'TEST3.csv' # Update the path to your CSV filecolumns = ['Year','T', 'TM', 'Tm', 'PP', 'Yields_Blé_dur']n_steps_in, n_steps_out = 3, 1test_set_years = 5df = load_data(file_path)# Preprocess the datadf_processed = preprocess_data_columns(df, columns)# Extract 'Year' for plotting purposesyears = df_processed['Year'].values[this is my database] (https://i.stack.imgur.com/SZgMR.png)
GitHub Link: https://github.com/Moiz1500/LSTM-model
I got this Error:
TypeError Traceback (most recent call last)Cell In[44], line 10 7 df = load_data(file_path) 9 # Preprocess the data---> 10 df_processed = preprocess_data_columns(df, columns) 11 # Extract 'Year' for plotting purposes 12 years = df_processed['Year'].valuesCell In[33], line 2 1 def preprocess_data_columns(df, columns):----> 2 df = df[columns].fillna(df.mean()) #Fill NaN values with the mean of the column 3 return dfFile c:\Users\hemic\AppData\Local\Programs\Python\Python311\Lib\site-packages\pandas\core\frame.py:11335, in DataFrame.mean(self, axis, skipna, numeric_only, **kwargs) 11327 @doc(make_doc("mean", ndim=2)) 11328 def mean( 11329 self, (...) 11333 **kwargs, 11334 ):> 11335 result = super().mean(axis, skipna, numeric_only, **kwargs) 11336 if isinstance(result, Series): 11337 result = result.__finalize__(self, method="mean")...-> 1678 raise TypeError(f"Could not convert {x} to numeric") 1679 try: 1680 x = x.astype(np.complex128)Type Error: Could not convert ['1/1/20121/2/20121/3/201212/31/2023'] to numeric.Output is truncated. View as a scrollable element or open in a text editor. Adjust cell output settings...How would I go about fixing this error?
I don't know how I can convert Colum of Year to Date
