Pandas 기초(3)
In [109]:import numpy as npimport pandas as pdimport seaborn as snsimport matplotlib.pyplot as pltimport matplotlib as mplfrom pandas.core.reshape.reshape import unstack집계, 필터, 변환, 적용¶In [2]:rng = np.random.RandomState(0)df = pd.DataFrame({'key' : ['A', 'B', 'C', 'A', 'B', 'C'], 'data1' : range(6), 'data2' : rng.randint(0, 10, 6)}, columns = [..
Pandas 기초(2)
In [2]:import pandas as pdimport numpy as npfrom bokeh.colors.named import greenyellow데이터세트 결합하기: 병합과 조인¶In [11]:df1 = pd.DataFrame({'name' : ['kim', 'han', 'min'], 'group' : ['badminton', 'us', 'us'] })df2 = pd.DataFrame({'name' : ['kim', 'han', 'min'], 'height' : ['192', '176', '160'] })print(df1);print(df2, '\n')df3 =..
NumPy 기초(1)
파이썬 리스트에서 배열 만들기In [3]:import numpy as npfrom mpmath import linspacefrom numpy.core.numeric import newaxisIn [9]:np.array([1,2,3,4,5])Out[9]:array([1, 2, 3, 4, 5])NumPy는 배열의 모든 요소가 같아야한다아니라면 상위 타입을 취하게 된다.In [12]:np.array([1.2,3,4,5,])Out[12]:array([1., 2., 3., 4.])In [13]:np.array([1,2,3,4], dtype=float) # 데이터 타입 설정Out[13]:array([1., 2., 3., 4.])In [15]:np.array([range(i, i + 3) for i in [2,..
