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script/cpython5.py

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+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(6,4), index=dates, columns=list('ABCD'))
+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 df2.dtypes
+
+print df.head()
+print df.tail(3)
+
+print df.values
+
+print df.describe()
+
+print df.T
+
+print df.sort_index(axis=1, ascending=False)
+
+
+#print df.sort_values(by='B')
+
+
+print df['A']
+
+print df[0:3]
+
+
+
+
+print df.mean()
+
+