IT의 신

import json, pandas as pd import tensorflow as tf import pandas as pd import numpy as np from sklearn.model_selection import train_test_split json_string=''' { "Unnamed":{ "0":"1", "1":"2", "2":"3", "3":"4", "4":"5" }, "FB":{ "0":"230.1", "1":"44.5", "2":"17.2", "3":"151.5", "4":"180.8" }, "TV":{ "0":"37.8", "1":"39.3", "2":"45.9", "3":"41.3", "4":"10.8" }, "Newpaper":{ "0":"69.2", "1":"45.1", "..

import sklearn as sk import pandas as pd import seaborn as sns import matplotlib.pyplot as plt import pandas as pd df=pd.read_json("A0007IT.json") import matplotlib.pyplot as plt import matplotlib.font_manager as fm plt.rc('font', family='NanumGothicCoding') 4. 분포도 count plot sns.countplot(data = df, x = 'Address1') plt.show() idx_address = df.loc[df['Address1'] == '-'].index df.drop(idx_address..