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 ...
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'
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]).
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) .
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:
... 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.
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.
Aug 09, 2021 · A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practice/competitive programming/company interview Questions.
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))
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.
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)
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.
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'
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:
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.
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.