![]() ![]() I'm following exact tutorial case but using data from a different noaa station using the NOAA_COOPS function to download the data into a dataframe. I also get the error when I try to execute some of the plot functions and POT functions. I'm getting the same error as wiz21b when I run the get_extremes command. ![]() The detected shape was (731,) + inhomogeneous part.Ĭool thanks. ![]() The requested array has an inhomogeneous shape after 1 dimensions. ValueError: setting an array element with a sequence. ![]() > 760 subarr = np.array(arr, dtype=dtype, copy=copy) > 570 subarr = _try_cast(data, dtype, copy, raise_cast_failure)ĥ72 subarr = maybe_convert_platform(data)įile ~/.local/lib/python3.9/site-packages/pandas/core/construction.py:760, in _try_cast(arr, dtype, copy, raise_cast_failure)ħ55 subarr = maybe_cast_to_integer_array(arr, dtype)ħ57 # 4 tests fail if we move this to a try/except/else seeħ58 # test_constructor_compound_dtypes, test_constructor_cast_failureħ59 # test_constructor_dict_cast2, test_loc_setitem_dtype > 439 data = sanitize_array(data, index, dtype, copy)Ĥ41 manager = get_option("mode.data_manager")įile ~/.local/lib/python3.9/site-packages/pandas/core/construction.py:570, in sanitize_array(data, index, dtype, copy, raise_cast_failure, allow_2d)ĥ69 if dtype is not None or len(data) = 0: > 1 model.get_extremes(method="BM", block_size="10D")įile ~/.local/lib/python3.9/site-packages/pyextremes/eva.py:452, in EVA.get_extremes(self, method, extremes_type, **kwargs)Ĥ50 message = f"for method=' blocks contained no data",ġ43 "successfully collected %d extreme events, found %s no-data blocks",ġ50 index=pd.Index(data=extreme_indices, name=ts.index.name or "date-time"),įile ~/.local/lib/python3.9/site-packages/pandas/core/series.py:439, in Series._init_(self, data, index, dtype, name, copy, fastpath) If you have any queries then you can contact us for more help.ValueError Traceback (most recent call last) The above is the solutions for both cases. Valueerror: Setting an Array Element with a Sequence error generally comes when you are creating a NumPy array using a different multi-dimensional array and different types of elements of the array. The other solution for this error is that you should define the type of the NumPy array of the object type. You should make sure that you should use elements of the same type. The solution for this case is also very simple. Print(numpy_array) Valueerror when creating an array with different types of elements For example, mixing string with int or float with int e.t.c. The other cause for getting Valueerror is you are using different datatype elements for the NumPy array. Just use the array of the same dimensions in a sequence. The solution for this error is very simple. Value error when creating a multi-dimensional array When you will run the code you will get the value error. One is a 2D array and the other is a 3D array. For example, if you will create a NumPy array of multi-dimension. The first case when you will get Valueerror: Setting an Array Element with a Sequence is creating an array with different dimensions or shapes. Cause 1: Mixing with different Array dimensions You will know how to solve this error in a simple way. In addition, you are mixing with different dimensions. The other case when you will get this error is when you are creating a multiple-dimensional NumPy array. For example, mixing int with float or int or float with string. In python Valueerror: Setting an Array Element with a Sequence means you are creating a NumPy array of different types of elements in it. What does setting an array element with a sequence mean in Python? In this tutorial, you will know all the causes that lead to this error and how to solve this error. And when you are creating multi-dimensional NumPy array then you will mostly get the Valueerror: Setting an Array Element with a Sequence error. In python, you must be familiar with the NumPy package. ![]()
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