xdc_git_python_20210511/tutorials-master/numpy&pandas/11_pandas_intro.py

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"""
Please note, this code is only for python 3+. If you are using python 2+, please modify the code accordingly.
"""
from __future__ import print_function
import pandas as pd
import numpy as np

s = pd.Series([1,3,6,np.nan,4,1]) # similar with 1D numpy
print(s)
dates = pd.date_range('20160101', periods=6)
df = pd.DataFrame(np.random.randn(6,4), index=dates, columns=['A','B','C','D'])
print(df['B'])
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(df2.dtypes)

print(df.index)
print(df.columns)
print(df.values)
print(df.describe())
print(df.T)
print(df.sort_index(axis=1, ascending=False))
print(df.sort_values(by='B'))