Jun 30, 2016 · AttributeError: 'numpy.ndarray' object has no attribute 'plot' Ask Question ... AttributeError: 'numpy.ndarray' object has no attribute 'plot' python matplotlib. Share.
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Answer. The immediate cause of your problem is that dataset1 and dataset2 are ndarray type, with dtype == object. Although your values are read in as float type, when you access the column of the values array you return (at the line dataset1 = data1 [:,ithattr1] ), the dtype is changed to object (as you are actually pulling the data row by row ...
29.06.2016 · So when you loop over axes, you actually get a slice along one dimension of the axes array. To overcome this, you could use axes.flat: for ax,_x in zip (axes.flat,X): Also if you are trying to plot all these on one figure, you don't need to call plt.subplots twice, as that will create two figures. It may be easier to index the axes array like ...
Jun 21, 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.
Answer. The immediate cause of your problem is that dataset1 and dataset2 are ndarray type, with dtype == object. Although your values are read in as float type, when you access the column of the values array you return (at the line dataset1 = data1 [:,ithattr1] ), the dtype is changed to object (as you are actually pulling the data row by row ...
Jul 11, 2019 · I'm trying to create a 4x4 FacetGrid in seaborn for 4 boxplots, each of which is split into 3 boxplots based on the iris species in the iris dataset. Currently, my code looks like this: sns.set (style="whitegrid") iris_vis = sns.load_dataset ("iris") fig, axes = plt.subplots (2, 2)
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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 …
Sep 17, 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 ...
ndarray' object has no attribute 'find' while trying to generate boxplot? Tags: matplotlib, numpy, python. I am trying to generate a box plot. Here is my code, ...