summary statistics and accumulations in Python

titanic.describe()
titanic.describe(include= 'O') # for object data types

titanic.count(axis = "columns")
titanic.count(axis = 1)

titanic.mean(axis = 1)

titanic.sum(axis = 0)

titanic.fare.cumsum(axis = 0)

titanic.age.unique()
titanic.nunique(axis = 1, dropna=False)

titanic.loc[titanic.age.idxmin()]

titanic.nlargest(n = 5, columns = "fare")
titanic.nsmallest(n = 1, columns = "age")

titanic.agg(["mean", "std", "min", "max", "median"])
titanic.agg({"survived": "mean", "age":["min", "max"]})

titanic.corr()
titanic.survived.corr(titanic.pclass)