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.
Feb 14, 2021 · Now I want to convert time back to an int value. But Timestamp object has no attribute astype. Running the following code: >>>time.astype(int) AttributeError: 'Timestamp' object has no attribute 'astype' I know that for a column of a dataframe I can do:
Modular and Object-oriented Constructs with OCaml, Python, C++, ... line 2, in expression AttributeError: 'int' object has no attribute 'speak' 4.4.4.3.
16.11.2018 · DataFrame.astype() function comes very handy when we want to case a particular column data type to another data type. Not only that but we can also use a Python dictionary input to change more than one column type at once. The key label in dictionary is corresponding to the column name and the values label in the dictionary is corresponding to the new data types we …
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:
Python astype () method enables us to set or convert the data type of an existing data column in a dataset or a data frame. By this, we can change or transform the type of the data values or single or multiple columns to altogether another form using astype () function. Let us now focus on the syntax of astype () function in detail in the ...
DataFrame.astype(dtype, copy=True, errors='raise') [source] ¶. Cast a pandas object to a specified dtype dtype. Parameters. dtypedata type, or dict of column name -> data type. Use a numpy.dtype or Python type to cast entire pandas object to the same type. Alternatively, use {col: dtype, …}, where col is a column label and dtype is a numpy ...
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'
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.
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]).
... given type of object responds to a method at runtime , and if it doesn't , an error is raised : AttributeError : ' ComplexNum ' object has no attribute ...
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)
... 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.
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))
x = int (2.01) >>> x 2 >>> float(2) 2.0 >>> CODE 3.4 Data type conversion. ... None is the null object and has no attribute. bool object has two potential ...