![]() ![]() If you have a list of lists that you want to convert to a DataFrame, you can use the pd.DataFrame constructor to create a new DataFrame from the list of lists.Python Dictionaries Access Items Change Items Add Items Remove Items Loop Dictionaries Copy Dictionaries Nested Dictionaries Dictionary Methods Dictionary Exercise Python If.Else Python While Loops Python For Loops Python Functions Python Lambda Python Arrays Python Classes/Objects Python Inheritance Python Iterators Python Polymorphism Python Scope Python Modules Python Dates Python Math Python JSON Python RegEx Python PIP Python Try. To fix the error, you can use the at or iat accessor methods to assign a scalar value to a single cell of the column, or you can use the pd.Series constructor to create a new column from a list or an array. In most cases, the error occurs when you try to assign a list or an array to a DataFrame column that expects a scalar value. The problem was that Xtrain did not have the same number of elements in all the arrays. The ValueError: setting an array element with a sequence error can be frustrating to deal with, but it is usually easy to fix once you understand what is causing it. Solution 1 Finally I found the answer to my question with the help of some ideas from larsmans and eickenberg. ![]() This will create a new DataFrame with the values: a b cīe aware that if your list of lists contains mixed data types (such as numeric and string values), Pandas will convert all the values to a common data type. I suspect xtrain to be ill-formed (ragged array, array of different types, etc.) and has as a dtype: object.Try to get your feature matrix right, as an array of float or int with a the intended shape, and dtype different from object before casting it to np.uint8 H. Import pandas as pd data =, , ] df = pd. This can happen when you try to assign a list or an array to a single cell of a DataFrame column, or when you try to assign a list or an array to an entire column.įor example, consider the following code: The ValueError: setting an array element with a sequence error occurs when you try to assign a sequence (such as a list or an array) to a Pandas DataFrame column that expects a scalar value. And we have also passed studentdt34 that represents the 3rd index and 4th position of a 2-dimensional array of elements to print a particular element. I am trying to run logistic regression on my y and x, however I keep getting the error Setting an array element with a sequence. Logistic regression is an estimator for functions of form: Rd -> 0,1 But your data clearly is not a subset of Rd, as each sample in a has different length (number of dimensions), thus it cannot be applied. What is the “ValueError: setting an array element with a sequence” error? 9 Answers Sorted by: 364 Possible reason 1: trying to create a jagged array You may be creating an array from a list that isn't shaped like a multi-dimensional array: numpy.array ( 1, 2, 2, 3, 4) wrong numpy.array ( 1, 2, 2, 3, 4) wrong In these examples, the argument to numpy.array contains sequences of different lengths. We assume that you have a basic knowledge of Pandas and Python. ![]() In this article, we will explain what this error message means and provide some tips on how to fix it. This error message can be frustrating, especially if you don’t know what it means or how to fix it. If you have been working with Pandas for a while, you have probably come across the ValueError: setting an array element with a sequence error at some point. | Miscellaneous How to Fix “ValueError: setting an array element with a sequence” for Pandas Im getting 'ValueError: setting an array element with a sequence' on keras model.fit model.fit(Xtr, np. ![]()
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