... 237, 281 missing values creating Series object with 29–30 in concatenated ... nan object 390 narrow data 199–200 ndarray object 385–390 attributes on ...
02.08.2019 · 'numpy.ndarray' object has no attribute 'iloc' in x_test. Hot Network Questions Is there a polite and correct way to give the wanted amount of tip in the restaurant when you have no suitable cash? Raster color is changed when clipped with a polygon in QGIS I was ...
I'm trying to delete the first 24 rows of my pandas dataframe. Searching on the web has led me to believe that the best way to do this is by using the pandas 'drop' function. However, whenever I...
17.09.2021 · To find the index position of the minimum and maximum values in the NumPy array, we can use the NumPy where () function: #find index position of minimum value np.where(x == min_val) (array ( [3]),) #find index position of maximum value np.where(x == max_val) (array ( [9]),) From the output we can see: The minimum value in the array is located ...
06.11.2018 · AttributeError: 'numpy.ndarray' object has no attribute 'iloc' Ask Question Asked 3 years, 1 month ago. Active 2 years, 5 months ago. Viewed 47k times 10 2. I am trying to combine two machine learning algorithm using stacking to achieve greater results but am failing in some of the aspects. Here's my code: class ...
20.06.2019 · The problem is that train_test_split(X, y, ...) returns numpy arrays and not pandas dataframes. Numpy arrays have no attribute named columns. If you want to see what features SelectFromModel kept, you need to substitute X_train (which is a numpy.array) with X which is a pandas.DataFrame.. selected_feat= X.columns[(sel.get_support())] This will return a list of the …