import pandas as pd
import numpy as np
import matplotlib.pyplot as plt

s = pd.Series([1, 3, 5, np.nan, 6, 8])
# print(s)

dates = pd.date_range('20130101', periods=6)
# print(dates)
df = pd.DataFrame(np.random.randn(6, 5), index = dates, columns = list("ABCDE"))
# print (df)



df2 = pd.DataFrame({"A" : 1., 
                    "B" : pd.Timestamp("20130102"),
                    "C" : pd.Series(1, index=list(range(4)), dtype="float32"),
                    "D" : np.array([3] * 4, dtype="int32"),
                    "E" : pd.Categorical(["test", "train", "test", "train"]),
                    "F" : "foo" })
# print(df2)

# print(df[df > 0])

# s = pd.Series([5,5,5,5])
# print(s)
