CSVファイル処理

train = pd.read_csv("../input/train.csv")

train.to_csv("my_train.csv", index_label = ["PassengerId"])

EDA(探索的データ解析)

train.head()

pd.set_option('display.max_columns', 300)

train_shape = train.shape

train.describe()

train.isnull().sum()

train.corr()

train["Age"]=train["Age"].fillna(train["Age"].median())

from sklearn.preprocessing import LabelEncoder
le = LabelEncoder()

le.fit(train["Sex"])
train["Sex"] = le.transform(train["Sex"])

train.drop("Fare",axis=1)

a = train[["Age","Sex"]]

a = train.loc[:,["Age","Sex"]]

a = train["Age"]

a = train.loc[:,"Age"]