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added missing argument to recursive call in readLevel #2

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added missing argument to recursive call in readLevel #2

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41 changes: 33 additions & 8 deletions pandasmodel.py
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Original file line number Diff line number Diff line change
Expand Up @@ -408,7 +408,7 @@ def readLevel(self, y=0, xs=0, xe=None, orient=None):
section_start = i
v=label
if y+1<len(c.levels):
children = self.readLevel(y+1, section_start, orient=orient)
children = self.readLevel(y+1, section_start, xe, orient=orient)
sibl[-1].appendRow(children)
return sibl

Expand Down Expand Up @@ -475,13 +475,38 @@ def sort(self, column, order):
QtGui.QVBoxLayout(form).addWidget(view)
form.show()

#Prepare data
tuples=[('bar', 'one', 'q'), ('bar', 'two', 'q'), ('baz', 'one', 'q'), ('baz', 'two', 'q'),
('foo', 'one', 'q'), ('foo', 'two', 'q'), ('qux', 'one', 'q'), ('qux', 'two', 'q')]
index = pd.MultiIndex.from_tuples(tuples, names=['first', 'second', 'third'])
df=pd.DataFrame(pd.np.random.randn(6, 6), index=index[:6], columns=index[:6])
print("DataFrame:\n%s"%df)

test_case = 2

if test_case == 1:
# Prepare sample data with 3 index levels
tuples = [('A', 'one', 'X'), ('A', 'one', 'Y'), ('A', 'two', 'X'), ('A', 'two', 'Y'),
('B', 'one', 'X'), ('B', 'one', 'Y'), ('B', 'two', 'X'), ('B', 'two', 'Y')]
index = pd.MultiIndex.from_tuples(tuples, names=['first', 'second', 'third'])
df = pd.DataFrame(pd.np.random.randint(0, 10, (8, 8)), index=index[:8], columns=index[:8])

if test_case == 2:
# Prepare sample data with 3 index levels all unique
tuples = [('A', 'one', 'a'), ('B', 'two', 'b'), ('C', 'three', 'c'), ('D', 'four', 'd'),
('E', 'five', 'e'), ('F', 'six', 'f'), ('G', 'seven', 'g'), ('H', 'eight', 'h')]
index = pd.MultiIndex.from_tuples(tuples, names=['first', 'second', 'third'])
df = pd.DataFrame(pd.np.random.randint(0, 10, (8, 8)), index=index[:8], columns=index[:8])

if test_case == 3:
# Prepare sample data with 2 index levels
tuples = [('A', 'one'), ('A', 'two'),
('B', 'one'), ('B', 'two')]
index = pd.MultiIndex.from_tuples(tuples, names=['first', 'second'])
df = pd.DataFrame(pd.np.random.randint(0, 10, (4, 4)), index=index[:8], columns=index[:8])

if test_case == 4:
# Prepare sample data basic
data = pd.np.random.randint(0, 10, (10, 3)).astype(float)
data[0][0] = pd.np.nan
print(data)
df = pd.DataFrame(data, columns=['col1', 'col2', 'col3'])

print("DataFrame:\n%s" % df)

#Prepare view
# oldh, oldv = view.horizontalHeader(), view.verticalHeader()
# oldh.setParent(form), oldv.setParent(form) #Save old headers for some reason
Expand Down