시각화2 Python : Seaborn Visualization import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns # 데이터셋 iris = sns.load_dataset('iris') titanic = sns.load_dataset('titanic') tips = sns.load_dataset('tips') flights = sns.load_dataset('flights') x = iris.petal_length.values sns.rugplot(x) sns.kdeplot(x) sns.distplot(x, rug=True, kde=True, bins=50) plt.hist(x, bins=50) (array([ 2., 2., 7., 13., 13., 11.. 2019. 11. 25. Python : Pandas Visualization pandas의 plot은 내부적으로 matplotlib.pyplot을 이용한다. import numpy as np import pandas as pd import matplotlib.pyplot as plt df1 = pd.DataFrame(np.random.randn(100, 3), index=pd.date_range('1/1/2019', periods=100), columns=['A', 'B', 'C']).cumsum() df1 A B C 2019-01-01 -0.896370 -1.962732 1.584821 2019-01-02 -0.248402 -3.101740 0.370419 2019-01-03 0.622560 -3.979711 1.666569 2019-01-04 1.239019 -3.443114.. 2019. 11. 25. 이전 1 다음
