def test_different_markers():
from ggplot.components import assign_visual_mapping
from ggplot.components.shapes import shape_gen
# First the generator which assigns the shapes
shape = shape_gen()
assert_true(
six.next(shape) != six.next(shape),
"Subsequent shapes are not different!")
shape = shape_gen()
assert_true(six.next(shape) == 'o', "First shape is not 'o'")
assert_true(six.next(shape) == '^', "Second shape is not '^'")
# Do shapes show up in the transformed layer?
df = pd.DataFrame({
"x": [1, 2],
"y": [1, 2],
"a": ["a", "b"],
"b": ["c", "d"]
})
gg = ggplot(aes(x="x", y="y", shape="a", color="b"), data=df)
new_df = assign_visual_mapping(df, aes(x="x", y="y", shape="a", color="b"),
gg)
layer = gg._get_layers(new_df)
assert_true("shape" in layer[0], "no shape was assigned")
assert_true(layer[0]["shape"] != layer[1]["shape"],
"wrong marker was assigned")
# And now a visual test that both shapes are there. Make them big so that the test is failing
# if something is wrong
gg = ggplot(aes(x="x", y="y", shape="a", color="b"), data=df)
assert_same_ggplot(gg + geom_point(size=3000), "geom_point_marker")
def test_legend_structure():
df = pd.DataFrame({
'xmin': [1, 3, 5],
'xmax': [2, 3.5, 7],
'ymin': [1, 4, 6],
'ymax': [5, 5, 9],
'fill': ['blue', 'red', 'green'],
'quality': ['good', 'bad', 'ugly'],
'alpha': [0.1, 0.5, 0.9],
'texture': ['hard', 'soft', 'medium']})
gg = ggplot(df, aes(xmin='xmin', xmax='xmax', ymin='ymin', ymax='ymax',
colour='quality', fill='fill', alpha='alpha',
linetype='texture'))
new_df, legend = assign_visual_mapping(df, gg.aesthetics, gg)
# All mapped aesthetics must have an entry in the legend
for aesthetic in ('color', 'fill', 'alpha', 'linetype'):
assert(aesthetic in legend)
# None of the unassigned aesthetic should have an entry in the legend
assert('size' not in legend)
assert('shape' not in legend)
# legend entries should remember the column names
# to which they were mapped
assert(legend['fill']['column_name'] == 'fill')
assert(legend['color']['column_name'] == 'quality')
assert(legend['linetype']['column_name'] == 'texture')
assert(legend['alpha']['column_name'] == 'alpha')
# Discrete columns for non-numeric data
assert(legend['fill']['scale_type'] == 'discrete')
assert(legend['color']['scale_type'] == 'discrete')
assert(legend['linetype']['scale_type'] == 'discrete')
assert(legend['alpha']['scale_type'] == 'continuous')
# Alternate
df2 = pd.DataFrame.copy(df)
df2['fill'] = [90, 3.2, 8.1]
gg = ggplot(df2, aes(xmin='xmin', xmax='xmax', ymin='ymin', ymax='ymax',
colour='quality', fill='fill', alpha='alpha',
linetype='texture'))
new_df, legend = assign_visual_mapping(df2, gg.aesthetics, gg)
assert(legend['fill']['scale_type'] == 'continuous')
def test_different_markers():
from ggplot.components import assign_visual_mapping
from ggplot.components.shapes import shape_gen
# First the generator which assigns the shapes
shape = shape_gen()
assert_true(six.next(shape) != six.next(shape), "Subsequent shapes are not different!")
shape = shape_gen()
assert_true(six.next(shape) == 'o', "First shape is not 'o'")
assert_true(six.next(shape) == '^', "Second shape is not '^'")
# Do shapes show up in the transformed layer?
df = pd.DataFrame({"x":[1,2],"y":[1,2], "a":["a","b"], "b":["c","d"]})
gg = ggplot(aes(x="x", y="y", shape="a", color="b"), data=df)
new_df, _ = assign_visual_mapping(df,aes(x="x", y="y", shape="a", color="b"), gg)
data = gg._make_plot_data(new_df)
assert_true("shape" in data, "no shape was assigned")
assert_true(data["shape"][0] != data["shape"][1], "wrong marker was assigned")
# And now a visual test that both shapes are there. Make them big so that the test is failing
# if something is wrong
gg = ggplot(aes(x="x", y="y", shape="a", color="b"), data=df)
assert_same_ggplot(gg + geom_point(size=3000), "geom_point_marker")
def test_legend_structure():
df = get_test_df()
gg = ggplot(df, aes(xmin='xmin', xmax='xmax', ymin='ymin', ymax='ymax',
colour='quality', fill='fill', alpha='alpha',
linetype='texture'))
new_df, legend = assign_visual_mapping(df, gg.aesthetics, gg)
# All mapped aesthetics must have an entry in the legend
for aesthetic in ('color', 'fill', 'alpha', 'linetype'):
assert(aesthetic in legend)
# None of the unassigned aesthetic should have an entry in the legend
assert('size' not in legend)
assert('shape' not in legend)
# legend entries should remember the column names
# to which they were mapped
assert(legend['fill']['column_name'] == 'fill')
assert(legend['color']['column_name'] == 'quality')
assert(legend['linetype']['column_name'] == 'texture')
assert(legend['alpha']['column_name'] == 'alpha')
# Discrete columns for non-numeric data
assert(legend['fill']['scale_type'] == 'discrete')
assert(legend['color']['scale_type'] == 'discrete')
assert(legend['linetype']['scale_type'] == 'discrete')
assert(legend['alpha']['scale_type'] == 'discrete')
# Alternate
df2 = pd.DataFrame.copy(df)
df2['fill'] = [90, 3.2, 8.1]
gg = ggplot(df2, aes(xmin='xmin', xmax='xmax', ymin='ymin', ymax='ymax',
colour='quality', fill='fill', alpha='alpha',
linetype='texture'))
new_df, legend = assign_visual_mapping(df2, gg.aesthetics, gg)
assert(legend['fill']['scale_type'] == 'discrete')
# Test if legend switches to continuous for more than 8 numerical values
df3 = pd.DataFrame({
'xmin': [1, 3, 5, 8, 2, 1, 4, 7, 9],
'xmax': [2, 3.5, 7, 12, 3, 2, 6, 8, 10],
'ymin': [1, 4, 6, 0, 0, 0, 0, 0, 0],
'ymax': [5, 5, 9, 1, 1, 1, 1, 1, 1],
'fill': ['blue', 'red', 'green', 'green', 'green',
'green', 'green', 'green', 'brown'],
'quality': ['good', 'bad', 'ugly', 'horrible', 'quite awful',
'impertinent', 'jolly', 'hazardous', 'ok'],
'alpha': [0.1, 0.2, 0.4, 0.5, 0.6, 0.65, 0.8, 0.82, 0.83],
'texture': ['hard', 'soft', 'medium', 'fluffy', 'slimy', 'rough',
'edgy', 'corny', 'slanted']
})
gg = ggplot(df2, aes(xmin='xmin', xmax='xmax', ymin='ymin', ymax='ymax',
colour='quality', fill='fill', alpha='alpha',
linetype='texture'))
new_df, legend = assign_visual_mapping(df3, gg.aesthetics, gg)
assert(legend['alpha']['scale_type'] == 'continuous')
# Test if legend raises GgplotError when size and alpha is fed non numeric data
gg = ggplot(df3, aes(size="fill"))
assert_raises(GgplotError, assign_visual_mapping, df3, gg.aesthetics, gg)
gg = ggplot(df3, aes(alpha="fill"))
assert_raises(GgplotError, assign_visual_mapping, df3, gg.aesthetics, gg)
def test_legend_structure():
df = get_test_df()
gg = ggplot(
df,
aes(xmin='xmin',
xmax='xmax',
ymin='ymin',
ymax='ymax',
colour='quality',
fill='fill',
alpha='alpha',
linetype='texture'))
new_df, legend = assign_visual_mapping(df, gg.aesthetics, gg)
# All mapped aesthetics must have an entry in the legend
for aesthetic in ('color', 'fill', 'alpha', 'linetype'):
assert (aesthetic in legend)
# None of the unassigned aesthetic should have an entry in the legend
assert ('size' not in legend)
assert ('shape' not in legend)
# legend entries should remember the column names
# to which they were mapped
assert (legend['fill']['column_name'] == 'fill')
assert (legend['color']['column_name'] == 'quality')
assert (legend['linetype']['column_name'] == 'texture')
assert (legend['alpha']['column_name'] == 'alpha')
# Discrete columns for non-numeric data
assert (legend['fill']['scale_type'] == 'discrete')
assert (legend['color']['scale_type'] == 'discrete')
assert (legend['linetype']['scale_type'] == 'discrete')
assert (legend['alpha']['scale_type'] == 'discrete')
# Alternate
df2 = pd.DataFrame.copy(df)
df2['fill'] = [90, 3.2, 8.1]
gg = ggplot(
df2,
aes(xmin='xmin',
xmax='xmax',
ymin='ymin',
ymax='ymax',
colour='quality',
fill='fill',
alpha='alpha',
linetype='texture'))
new_df, legend = assign_visual_mapping(df2, gg.aesthetics, gg)
assert (legend['fill']['scale_type'] == 'discrete')
# Test if legend switches to continuous for more than 8 numerical values
df3 = pd.DataFrame({
'xmin': [1, 3, 5, 8, 2, 1, 4, 7, 9],
'xmax': [2, 3.5, 7, 12, 3, 2, 6, 8, 10],
'ymin': [1, 4, 6, 0, 0, 0, 0, 0, 0],
'ymax': [5, 5, 9, 1, 1, 1, 1, 1, 1],
'fill': [
'blue', 'red', 'green', 'green', 'green', 'green', 'green',
'green', 'brown'
],
'quality': [
'good', 'bad', 'ugly', 'horrible', 'quite awful', 'impertinent',
'jolly', 'hazardous', 'ok'
],
'alpha': [0.1, 0.2, 0.4, 0.5, 0.6, 0.65, 0.8, 0.82, 0.83],
'texture': [
'hard', 'soft', 'medium', 'fluffy', 'slimy', 'rough', 'edgy',
'corny', 'slanted'
]
})
gg = ggplot(
df2,
aes(xmin='xmin',
xmax='xmax',
ymin='ymin',
ymax='ymax',
colour='quality',
fill='fill',
alpha='alpha',
linetype='texture'))
new_df, legend = assign_visual_mapping(df3, gg.aesthetics, gg)
assert (legend['alpha']['scale_type'] == 'continuous')
# Test if legend raises GgplotError when size and alpha is fed non numeric data
gg = ggplot(df3, aes(size="fill"))
assert_raises(GgplotError, assign_visual_mapping, df3, gg.aesthetics, gg)
gg = ggplot(df3, aes(alpha="fill"))
assert_raises(GgplotError, assign_visual_mapping, df3, gg.aesthetics, gg)
