본문 바로가기

전체 글

(255)

Python_EX-004. 10 way data read from a file No.MethodCode ExampleProsCons1read()# to read the entire file with open('filename.txt', 'r') as file: data = file.read() print(data)- Simple - Easy to use- Not suitable for large files (memory-intensive)2readline()# to read one line at a time with open('filename.txt', 'r') as file: line = file.readline() while line: print(line.strip()) line = file.readline()- Suit..

Python_EX-003. how to extract a condition dataset import numpy as np# INPUT : SCORE ClassA = [10, 50, 70, 30]ClassB = [30, 40, 50, 60]ClassC = [76, 78, 92, 30]ClassD = [32, 45, 64, 42]A = np.array(ClassA).reshape(1,4)B = np.array(ClassB).reshape(1,4)C = np.array(ClassC).reshape(1,4)D = np.array(ClassD).reshape(1,4)Score = np.concatenate( (A, B, C, D), axis=0)print("""Score :""", Score)#path = ''#data = np.loadtxt(path, delimiter=',')cond = Scor..

Python_N-006. Array Slicing >>> a[ 0, 3:5 ]array( [3, 4] )>>> a[ 4:, 4: ]array( [ [44, 45], [54, 55] ] )>>> a[ :, 2]array( [ 2, 12, 22, 32, 42, 52 ] )>>>> a[ 1:5:3, ::2 ]array( [ [10, 12, 14,], [40, 42, 44] ] )

Python_N-005. Array Broadcasting General broadcasting rule Two dimensions are compatible when 1. they are equal, or 2. one of them is 1. No.Example Code 1import numpy as np a = np.array( [1.0, 2.0, 3.0] ) b = 2.0 a * b an array and a scalar value are combined in an operation: 2import numpy as np a = np.array( [ [ 0.0, 0.0, 0.0], [10.0, 10.0, 10.0], [20.0, 20.0, 20.0], ..

Python_EX-002. Average Score Comparison (NumPy Practice) Clase A score : 10, 30, 70, 50Class B score : 30, 40, 50, 60 Q1. calculate average score Q2. compare avg score with "argmax"

Python_N-005. 10 basic attributes in array (2) No.CommendDescriptionExample1indexingAccessing individual elements using indices.arr[0, 1] # in the first row, second column2slicingAccessing a range of elements using : operatorarr[0:2, 1:3] # from rows 0-1 and columns 1-2 # arr[ a : n ] from a to (n-1) 3copy()Creates a copy of the arrayarr_copy = arr.copy()4reshape()Returns an array with a new shapearr_reshaped = ..

Python_N-004. 10 basic attributes in array no.AttributeDescriptionexample code1ndimThe number of dimensions of the array.import numpy as np arr = np.array( [ [1, 2, 3], [4, 5, 6] ] ) print(arr.ndim) # Output: 22shapeThe shape of the array (dimensions).print(arr.shape) # Output: (2, 3)3sizeThe total number of elements in the array.print(arr.size) # Output: 64dtypeThe data type of the array’s elements.print(arr.dtype) # Output: int..

Python_N-003. Data Type in array Data TypeDescriptionbool_Boolean (True or False) stored as a byteint_Default integer type (similar to Python's int)intcIdentical to C's intintpInteger type used for indexing (similar to C's ssize_t)int8Byte (-128 to 127)int16Integer (-32768 to 32767)int32Integer (-2147483648 to 2147483647)int64Integer (-9223372036854775808 to 9223372036854775807)float_Shorthand for float64float16Half precision f..

이전 1 2 3 4 5 6 ··· 32 다음

티스토리툴바