Αποτελέσματα Αναζήτησης
You can convert a numpy array to list and get its index . for example: tmp = [1,2,3,4,5] #python list a = numpy.array(tmp) #numpy array i = list(a).index(2) # i will return index of 2, which is 1
If the ndarray object is a structured array the fields of the array can be accessed by indexing the array with strings, dictionary-like. Indexing x['field-name'] returns a new view to the array, which is of the same shape as x (except when the field is a sub-array) but of data type x.dtype['field-name'] and contains only the part of the data in ...
numpy.lib.recfunctions.join_by(key, r1, r2, jointype='inner', r1postfix='1', r2postfix='2', defaults=None, usemask=True, asrecarray=False) [source] #. Join arrays r1 and r2 on key key. The key should be either a string or a sequence of string corresponding to the fields used to join the array.
9 Φεβ 2017 · I want to find all indices in an array that contain a substring, in this case it is substring = "contig_". I started iterating line by line and then iterating through each element in the array but that is the most brute force as it gets.
Use the axis keyword to get the indices of maximum and minimum values along a specific axis: >>> np . argmax ( a , axis = 0 ) array([[1, 1, 1, 1, 1], [1, 1, 1, 1, 1], [1, 1, 1, 1, 1]]) >>> np . argmax ( a , axis = 1 ) array([[2, 2, 2, 2, 2], [2, 2, 2, 2, 2]]) >>> np . argmax ( a , axis = 2 ) array([[4, 4, 4], [4, 4, 4]]) >>> np . argmin ( a ...
26 Μαρ 2014 · If the ndarray object is a record array, i.e. its data type is a record data type, the fields of the array can be accessed by indexing the array with strings, dictionary-like. Indexing x['field-name'] returns a new view to the array, which is of the same shape as x (except when the field is a sub-array) but of data type x.dtype['field-name ...
NumPy reference. String functionality. numpy.strings.index # strings.index(a, sub, start=0, end=None) [source] # Like find, but raises ValueError when the substring is not found. Parameters: aarray-like, with StringDType, bytes_, or str_ dtype. subarray-like, with StringDType, bytes_, or str_ dtype.
