I just want to get a list or dict from dtype out of a numpy array. Thought it would be a easy but it is not itterable. I looked other places but could not find answer. jn is a recarray [OrderedDi...

I have a starting array such as: [(1, [-112.01268501699997, 40.64249414272372]) (2, [-111.86145708699996, 40.4945008710162])] The first column is an int and the second is a list of floats. I need...

I have a fairly simple question about how to sort an entire array/recarray by a given column. For example, given the array: import numpy as np data = np.array([[5,2], [4,1], [3,6]]) I would lik...

The answer will be very obvious I think, but I don't see it at the moment. How can I convert a record array back to a regular ndarray? Suppose I have following simple structured array: x = np.array...

I know there was already a question about this topic (cleanest way to add a field to a structured numpy array), see Adding a field to a structured numpy array but I have a question about the ans...

I have a recarray that comes from reading a csv file. I am interested in converting a subset of columns to a continuous float array. I'd like to avoid converting them to list or stacking them one b...

I am attempting to create a function in cython that accepts a numpy structured array or record array by defining a cython struct type. Suppose I have the data: a = np.recarray(3, dtype=[('a', np.f...

If we have a Numpy recarray: x = np.array([(1.,2.)], dtype=np.dtype([('a','<f8'),('b','<f8')])) We can access its fields in Python as: x['a'] or x['b'] But if this array is passed to a C prog...

I have a Numpy rec array from which I would like to do some quick queries similar to SQL: SELECT * where array['phase'] == "P". I would like to get a Record Array as output with each row correspond...

I have a structured numpy array, and I am sorting it by a order. It works pretty fine but in just one direction! Descending: sort(myStructuredArray,order=my_order)[::-1] and Ascending: sort(m...

Suppose I make two recarrays with the same dtype and stack them: >>> import numpy as np >>> dt = [('foo', int), ('bar', float)] >>> a = np.empty(2, dtype=dt).view(np.rec...

Let's say I have some simple data y = [[datetime.datetime( 2012,1,1,1,1), 2.1], [datetime.datetime( 2012,1,1,1,2), -3.1], [datetime.datetime( 2012,1,1,1,3), 0.1]] and I want a numpy record ar...

I wonder what the best way of normalizing/standardizing a numpy recarray is. To make it clear, I'm not talking about a mathematical matrix, but a record array that also has e.g. textual columns (su...

Is it possible to initialise a numpy recarray that will hold strings, without knowing the length of the strings beforehand? As a (contrived) example: mydf = np.empty( (numrows,), dtype=[ ('file_n...

I'm trying to retrieve the column titles of a recarray, and running into considerable trouble. If I read in a .csv file using pylab's csv2rec function, I am able to access column titles in the foll...

I'm trying to subset the records in a numpy.recarray based on the common values between one of the recarrays fields and an external array. For example, a = np.array([(10, 'Bob', 145.7), (20, 'Sue'...

I would like to subclass numpy ndarray. However, I cannot change the array. Why self = ... does not change the array? Thanks. import numpy as np class Data(np.ndarray): def __new__(cls, inputar...

The following example shows what I want to do: >>> test rec.array([(0, 0, 0), (0, 0, 0), (0, 0, 0), (0, 0, 0), (0, 0, 0), (0, 0, 0), (0, 0, 0), (0, 0, 0), (0, 0, 0), (0, 0, 0)], dtype=...