WebSolution for dataframe’ object has no attribute ‘reshape’ The easiest solution to solve this error is you should use this function on the values of the columns, not the entire dataframe or series. To achieve this you will also use the .values on the column. df [ "col2" ].values.reshape ( ( -1, 4 )) WebNov 21, 2024 · The meaning of -1 in reshape () You can use -1 to specify the shape in reshape (). Take the reshape () method of numpy.ndarray as an example, but the same is true for the numpy.reshape () function. The length of the dimension set to -1 is automatically determined by inferring from the specified values of other dimensions.
from sklearn.preprocessing import polynomialfeatures - CSDN文库
WebThese methods allow you to reorganize your data by changing dimensions, array shape, order of values, or indexes. Reordering dimensions To reorder dimensions on a DataArray or across all variables on a Dataset, use transpose (). An ellipsis ( …) can be used to represent all other dimensions: WebJul 6, 2024 · Array which is reshaped without changing the data. Example Python import numpy as geek array1 = geek.arange (8) print("Original array : \n", array1) array2 = … grange northwich
WebJan 6, 2024 · So instead of calling nan_to_num on you data, call it on numpy module giving your data as a paramter: import numpy as np data = np.array ( [1,2,3,np.nan,np.nan,5]) data_without_nan = np.nan_to_num (data) prints: array ( [1., 2., 3., 0., 0., 5.]) In your example: import numpy as np val = np.nan_to_num (setTo.ravel ()) Share Improve this … WebJul 2, 2024 · Python Error: AttributeError: 'array.array' object has no attribute 'fromstring' For reasons which I cannot entirely remember, the whole block that this comes from is as … WebFeb 16, 2024 · Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.reshape(1, -1) if it contains a single sample. However, we can follow the helpful error suggestion to make a two-dimensional array with reshape(1, -1). grange new york