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Support pandas dataframe in array viewer during debugging (PY-14330)

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(cherry picked from commit 669292aa3fb3678411d5b28ce4756ca102de98f0)
This commit is contained in:
fitermay
2016-06-07 14:58:26 +03:00
committed by Dmitry Trofimov
parent 9b114a193f
commit bc8f2ee363
26 changed files with 1609 additions and 691 deletions
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python/testData/debug/test_dataframe.py
+32
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import pandas as pd
import numpy as np
df1 = pd.DataFrame({'row': [0, 1, 2],
'One_X': [1.1, 1.1, 1.1],
'One_Y': [1.2, 1.2, 1.2],
'Two_X': [1.11, 1.11, 1.11],
'Two_Y': [1.22, 1.22, 1.22]})
print(df1) ###line 8
df2 = pd.DataFrame({'row': [0, 1, 2],
'One_X': [1.1, 1.1, 1.1],
'One_Y': [1.2, 1.2, 1.2],
'Two_X': [1.11, 1.11, 1.11],
'Two_Y': [1.22, 1.22, 1.22],
'LABELS': ['A', 'B', 'C']})
print(df2) ##line 16
df3 = pd.DataFrame(data={'Province' : ['ON','QC','BC','AL','AL','MN','ON'],
'City' : ['Toronto','Montreal','Vancouver','Calgary','Edmonton','Winnipeg','Windsor'],
'Sales' : [13,6,16,8,4,3,1]})
table = pd.pivot_table(df3,values=['Sales'],index=['Province'],columns=['City'],aggfunc=np.sum,margins=True)
table.stack('City')
print(df3)
df4 = pd.DataFrame({'row': np.random.random(10000),
'One_X': np.random.random(10000),
'One_Y': np.random.random(10000),
'Two_X': np.random.random(10000),
'Two_Y': np.random.random(10000),
'LABELS': ['A'] * 10000})
print(df4) ##line 31