def test_axis(self):
pivot = pd.pivot_table(self.df, rows='gender', cols='town',
values=['price', 'count'])
xaxis = get_axes(pivot.index, 'gender', xaxis=True)
yaxis = get_axes(pivot.columns, ['price', 'count'])
self.assertEquals('gender', xaxis.get('title', {}).get('text'))
self.assertEquals(['man', 'woman'], xaxis.get('categories', ))
self.assertIsNone(xaxis.get('type'))
[price, count] = yaxis
self.assertEquals('price', price.get('title', {}).get('text'))
self.assertEquals('count', count.get('title', {}).get('text'))
[price_ba, price_ke, count_ba, count_ke] = get_series(pivot, yaxis)
self.assertEquals(0, price_ba.get('yAxis'))
self.assertEquals('price / BA', price_ba.get('name'))
self.assertEquals(0, price_ke.get('yAxis'))
self.assertEquals('price / KE', price_ke.get('name'))
self.assertEquals(1, count_ba.get('yAxis'))
self.assertEquals('count / BA', count_ba.get('name'))
self.assertEquals(1, count_ke.get('yAxis'))
self.assertEquals('count / KE', count_ke.get('name'))
def test_axis(self):
pivot = pd.pivot_table(self.df,
rows='gender',
cols='town',
values=['price', 'count'])
xaxis = get_axes(pivot.index, 'gender', xaxis=True)
yaxis = get_axes(pivot.columns, ['price', 'count'])
self.assertEquals('gender', xaxis.get('title', {}).get('text'))
self.assertEquals(['man', 'woman'], xaxis.get('categories', ))
self.assertIsNone(xaxis.get('type'))
[price, count] = yaxis
self.assertEquals('price', price.get('title', {}).get('text'))
self.assertEquals('count', count.get('title', {}).get('text'))
[price_ba, price_ke, count_ba, count_ke] = get_series(pivot, yaxis)
self.assertEquals(0, price_ba.get('yAxis'))
self.assertEquals('price / BA', price_ba.get('name'))
self.assertEquals(0, price_ke.get('yAxis'))
self.assertEquals('price / KE', price_ke.get('name'))
self.assertEquals(1, count_ba.get('yAxis'))
self.assertEquals('count / BA', count_ba.get('name'))
self.assertEquals(1, count_ke.get('yAxis'))
self.assertEquals('count / KE', count_ke.get('name'))
def test_chart_type(self):
pivot = pd.pivot_table(self.df, rows='gender',
values=['price', 'count'])
xaxis = get_axes(pivot.index, 'gender', xaxis=True)
yaxis = get_axes(pivot.columns, ['price', 'count'])
[count, price] = get_series(pivot, yaxis,
{'count': 'spline', 'price': 'line'})
self.assertEquals('line', price.get('type'))
self.assertEquals('spline', count.get('type'))
def test_one_dimension(self):
pivot = pd.pivot_table(self.df, rows='month', cols='gender',
values='price')
xaxis = get_axes(pivot.index, 'month', xaxis=True)
yaxis = get_axes(pivot.columns, 'price')
self.assertEquals('month', xaxis.get('title', {}).get('text'))
self.assertEquals('datetime', xaxis.get('type'))
self.assertEquals('price', yaxis.get('title', {}).get('text'))
self.assertIsNone(yaxis.get('type'))
def test_chart_type(self):
pivot = pd.pivot_table(self.df,
rows='gender',
values=['price', 'count'])
xaxis = get_axes(pivot.index, 'gender', xaxis=True)
yaxis = get_axes(pivot.columns, ['price', 'count'])
[count, price] = get_series(pivot, yaxis, {
'count': 'spline',
'price': 'line'
})
self.assertEquals('line', price.get('type'))
self.assertEquals('spline', count.get('type'))
def test_one_dimension(self):
pivot = pd.pivot_table(self.df,
rows='month',
cols='gender',
values='price')
xaxis = get_axes(pivot.index, 'month', xaxis=True)
yaxis = get_axes(pivot.columns, 'price')
self.assertEquals('month', xaxis.get('title', {}).get('text'))
self.assertEquals('datetime', xaxis.get('type'))
self.assertEquals('price', yaxis.get('title', {}).get('text'))
self.assertIsNone(yaxis.get('type'))
def test_two_dimension(self):
pivot = pd.pivot_table(self.df, rows='month', cols=['gender'],
values=['price', 'count'])
xaxis = get_axes(pivot.index, 'month', xaxis=True)
yaxis = get_axes(pivot.columns, ['price', 'count'])
self.assertEquals('month', xaxis.get('title', {}).get('text'))
self.assertEquals('datetime', xaxis.get('type'))
self.assertIsInstance(yaxis, list)
[price, count] = yaxis
self.assertEquals('price', price.get('title', {}).get('text'))
self.assertEquals('count', count.get('title', {}).get('text'))
def test_two_columns(self):
pivot = pd.pivot_table(self.df, rows='month', cols=['town', 'gender'],
values='price')
yaxis = get_axes(pivot.columns, 'price')
self.assertEquals('price', yaxis.get('title', {}).get('text'))
def test_two_dimension(self):
pivot = pd.pivot_table(self.df,
rows='month',
cols=['gender'],
values=['price', 'count'])
xaxis = get_axes(pivot.index, 'month', xaxis=True)
yaxis = get_axes(pivot.columns, ['price', 'count'])
self.assertEquals('month', xaxis.get('title', {}).get('text'))
self.assertEquals('datetime', xaxis.get('type'))
self.assertIsInstance(yaxis, list)
[price, count] = yaxis
self.assertEquals('price', price.get('title', {}).get('text'))
self.assertEquals('count', count.get('title', {}).get('text'))
def test_two_columns(self):
pivot = pd.pivot_table(self.df,
rows='month',
cols=['town', 'gender'],
values='price')
yaxis = get_axes(pivot.columns, 'price')
self.assertEquals('price', yaxis.get('title', {}).get('text'))
def test_two_columns_two_dimensions(self):
pivot = pd.pivot_table(self.df, rows='month', cols=['town', 'gender'],
values=['price', 'count'])
yaxis = get_axes(pivot.columns, ['price', 'count'])
self.assertIsInstance(yaxis, list)
[price, count] = yaxis
self.assertEquals('price', price.get('title', {}).get('text'))
self.assertEquals('count', count.get('title', {}).get('text'))
def test_series_nondate(self):
pivot = pd.pivot_table(self.df, rows='gender', cols='town',
values='price')
xaxis = get_axes(pivot.index, 'gender', xaxis=True)
yaxis = get_axes(pivot.columns, 'price')
self.assertEquals('gender', xaxis.get('title', {}).get('text'))
self.assertEquals(['man', 'woman'], xaxis.get('categories', ))
self.assertIsNone(xaxis.get('type'))
self.assertEquals('price', yaxis.get('title', {}).get('text'))
[ba, ke] = get_series(pivot, yaxis)
self.assertEquals('BA', ba['name'])
self.assertEquals([1, 1], ba['data'])
self.assertEquals(None, ba.get('yAxis'))
self.assertEquals('KE', ke['name'])
self.assertEquals([1, 0], ke['data'])
self.assertEquals(None, ke.get('yAxis'))
def test_two_columns_two_dimensions(self):
pivot = pd.pivot_table(self.df,
rows='month',
cols=['town', 'gender'],
values=['price', 'count'])
yaxis = get_axes(pivot.columns, ['price', 'count'])
self.assertIsInstance(yaxis, list)
[price, count] = yaxis
self.assertEquals('price', price.get('title', {}).get('text'))
self.assertEquals('count', count.get('title', {}).get('text'))
def test_series_nondate(self):
pivot = pd.pivot_table(self.df,
rows='gender',
cols='town',
values='price')
xaxis = get_axes(pivot.index, 'gender', xaxis=True)
yaxis = get_axes(pivot.columns, 'price')
self.assertEquals('gender', xaxis.get('title', {}).get('text'))
self.assertEquals(['man', 'woman'], xaxis.get('categories', ))
self.assertIsNone(xaxis.get('type'))
self.assertEquals('price', yaxis.get('title', {}).get('text'))
[ba, ke] = get_series(pivot, yaxis)
self.assertEquals('BA', ba['name'])
self.assertEquals([1, 1], ba['data'])
self.assertEquals(None, ba.get('yAxis'))
self.assertEquals('KE', ke['name'])
self.assertEquals([1, 0], ke['data'])
self.assertEquals(None, ke.get('yAxis'))
