03.03.2021 · -> 1522 num_samples = set(int(i.shape[0]) for i in nest.flatten(data)) 1523 if len(num_samples) > 1: 1524 msg = "Data cardinality is ambiguous:\n" AttributeError: 'int' object has no attribute 'shape'
28.01.2017 · df['a'][1].astype(float) gives me AttributeError: 'str' object has no attribute 'astype'. My question is: how can that be? I could convert the whole series from string to float but I couldn't convert the entry of this series from string to float? Also, I load my raw data set . df['id'].astype(int)
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Boud. df ['a'] returns a Series object that has astype as a vectorized way to convert all elements in the series into another one. df ['a'] [1] returns the content of one cell of the dataframe, in this case the string '0.123'. This is now returning a str object that doesn't have this function. To convert it use regular python instruction:
y =y.values().astype(int) y is a list and lists do not have a method values() (but dictionaries and DataFrames do). If you would like to convert y to a list of integers you can use list comprehension: y = [int(x) for x in y] Or alternatively use map (but I'd prefer the list comprehension): y = list(map(int, y))
The items in df['og_col_name'] are of the 'object' datatype.. This does not mean they are strings. It just means they are not a standard numpy type. In your case at least one of the items in your og_col_name is an integer.
30.07.2019 · This answer is useful. 0. This answer is not useful. Show activity on this post. 1) check the image path is correct. 2) make sure that image is read as numpy ndarray e.g (using matplotlib, cv2), using PIL it reads image in another format so it becomes impossible to apply numpy array operations. Share.
Jul 30, 2019 · This answer is useful. 0. This answer is not useful. Show activity on this post. 1) check the image path is correct. 2) make sure that image is read as numpy ndarray e.g (using matplotlib, cv2), using PIL it reads image in another format so it becomes impossible to apply numpy array operations. Share.
27.08.2017 · But astype() fails: day.astype('timedelta64[h]') # AttributeError: 'Timedelta' object has no attribute 'astype' The example in the documentation doesn't actually use pd.Timedelta(), and that seems to be part of the issue.
Jan 29, 2017 · df['a'] returns a Series object that has astype as a vectorized way to convert all elements in the series into another one. df['a'][1] returns the content of one cell of the dataframe, in this case the string '0.123'. This is now returning a str object that doesn't have this function. To convert it use regular python instruction:
AttributeError: 'float' object has no attribute 'astype' ... If you want to convert a float to an int , the syntax is int(float) , not float.astype(int) .
Mar 03, 2021 · -> 1522 num_samples = set(int(i.shape[0]) for i in nest.flatten(data)) 1523 if len(num_samples) > 1: 1524 msg = "Data cardinality is ambiguous: " AttributeError: 'int' object has no attribute 'shape'
Type Conversion In Python Attributeerror: 'Str' Object Has No Attribute 'Astype' ... upper is a method that can be invoked on any string object to create a new ...
... padded_csd = col.astype(str) 4 if len(padded_csd) == 2: 5 return padded_csd AttributeError: 'int' object has no attribute 'astype'``` to format properly.
Apr 04, 2021 · However, if you’re lucky enough to have all outputs of identical structure, it will work for a while. The new collate function you define apply longtensor to all targets, which cancels the difference between two kinds of outputs, I guess. import torch a = [1,torch.tensor (2)] print (torch.LongTensor (a)) And this will yield tensor ( [1, 2]).
Aug 27, 2017 · But astype() fails: day.astype('timedelta64[h]') # AttributeError: 'Timedelta' object has no attribute 'astype' The example in the documentation doesn't actually use pd.Timedelta(), and that seems to be part of the issue.