kindle manager

tdataframe.py

@@ -0,0 +1,81 @@
+
+import pandas as pd
+from kman import *
+
+data = {
+    'state':['Ohio','Ohio','Ohio','Nevada','Nevada'],
+    'year':[2000,2001,2002,2001,2002],
+    'pop':[1.5,1.7,3.6,2.4,2.9],
+    'xx':[1.5,1.7,3.6,2.4,2.9]
+}
+"""
+       year   state  pop  debt
+one    2000    Ohio  1.5  16.5
+two    2001    Ohio  1.7  16.5
+three  2002    Ohio  3.6  16.5
+four   2001  Nevada  2.4  16.5
+five   2002  Nevada  2.9  16.5
+"""
+frame = pd.DataFrame(data,
+        index = ['one', 'two','three','four','five'],
+      columns = ['year','state','pop','debt','xx'])
+
+print(frame.iat[0, 0])
+print(frame.iat[1, 1])
+print(frame.iat[2, 2])
+print(frame.iat[2, 1])
+
+'''
+print('\n---------------------')
+print(frame)
+print('\n---------------------')
+frame['debt']=16.5
+print(frame)
+print('\n---------------------')
+print(frame.iloc[2]) #line 2
+print('\n---------------------')
+print(frame.iloc[[2,3],0:2])
+print('\n---------------------')
+print(frame.iloc[[2,3],0:2])
+print('\n---------------------')
+print(frame.iat[1, 1])
+print('\n---------------------')
+for index, row in frame.iterrows():
+    print(index)
+    print(row)
+print('\n---------------------')
+for row in frame.iterrows():
+    print(row)
+    #print(row[0], row[1])
+print('\n---------------------')
+print(frame.head(2))
+print('\n---------------------')
+print(frame.columns)
+print('\n---------------------')
+print(frame.index)
+print('\n---------------------')
+print(frame.to_dict())
+print('\n---------------------')
+'''
+
+km = kMan()
+books = km.import_clips()
+print(books)
+print('\n---------------------')
+frame = pd.DataFrame(books)
+print(frame)
+
+print('\n---------------------')
+data = [['Ohio','Ohio','Ohio','Nevada','Nevada'],
+        [2000,2001,2002,2001,2002],
+        [1.5,1.7,3.6,2.4,2.9],
+        [1.5,1.7,3.6,2.4,2.9],
+        [1.5,1.7,3.6,2.4,2.9],
+        ]
+frame = pd.DataFrame(data,
+      columns = ['year','state','pop','debt','xx'])
+print(frame)
+
+
+
+