[pandas] DO IT 데이터분석을 위한 판다스 입문 (그래프)

import seaborn as sns

anscombe = sns.load_dataset("anscombe")
print(anscombe.head())
print(type(anscombe))

%matplotlib notebook
import matplotlib.pyplot as plt

dataset_1 = anscombe[anscombe['dataset'] == 'I']
dataset_2 = anscombe[anscombe['dataset'] == 'II']
dataset_3 = anscombe[anscombe['dataset'] == 'III']
dataset_4 = anscombe[anscombe['dataset'] == 'IV']

fig = plt.figure()
axes1 = fig.add_subplot(2, 2, 1)
axes2 = fig.add_subplot(2, 2, 2)
axes3 = fig.add_subplot(2, 2, 3)
axes4 = fig.add_subplot(2, 2, 4)

axes1.plot(dataset_1['x'], dataset_1['y'], 'o')
axes2.plot(dataset_2['x'], dataset_2['y'], 'o')
axes3.plot(dataset_3['x'], dataset_3['y'], 'o')
axes4.plot(dataset_4['x'], dataset_4['y'], 'o')

fig

axes1.set_title("dataset_1")
axes2.set_title("dataset_2")
axes3.set_title("dataset_3")
axes4.set_title("dataset_4")

fig.suptitle("Anscomebe Data")
fig.tight_layout()

fig