Data Science/Numpy (3) 썸네일형 리스트형 [numpy] Processing Datasets, Boolean, and Datatypes in Numpy 1. Datasets in Numpy 1.1 Load csv file into ndarray The numpy.genfromtxt() method stores numeric data inside a text file in ndarray. import numpy as np file = np.genfromtxt('file.csv', delimiter=',') fisrt_five = file[:5,:] The result stored in the ndarray is denoted by scientific notation and nan. np.nan stands for not a number and means character data inside a csv file. In addition, since each.. [numpy] Arithmetics with Numpy Arrays 1. Basic Arithmetics 1.1 Adding values The ndarray with the same length generate new ndarrays by adding elements of each index. In Python's case, the numpy packages is much more efficient in terms of algebric operations because the elements for each list must be extracted and added. The reason why the numpy object is much faster than the Python list that the numpy package is written in the C lan.. [numpy] Basic operations of Numpy array 1. What is Numpy? Numpy is a general-purpose array-processing package. It provides a high-performance multidimensional array object and tools for working with these arrays.The Numpy is an abbreviation for Numpy Python and is a Python package used in algebric calculations. import numpy as np 2. Array 2.1 Creating an Array object Numpy's core data structure is ndarray, which has a similar structur.. 이전 1 다음