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Added support for specifying colors in parallel_plot() #2274

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Added support for specifying colors in parallel_plot() #2274

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b496689
Added support for specifying colors to use with parallel_plot
khughitt Nov 16, 2012
75a8aa2
Clarified input for colors kwarg
khughitt Nov 17, 2012
1e6e197
Merge branch 'master' of https://github.com/pydata/pandas
khughitt Nov 18, 2012
626b115
Added test case for parallel plots colors param; added support for sp…
khughitt Nov 18, 2012
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4 changes: 4 additions & 0 deletions pandas/tests/test_graphics.py
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Original file line number Diff line number Diff line change
Expand Up @@ -460,6 +460,10 @@ def test_parallel_coordinates(self):
path = os.path.join(curpath(), 'data/iris.csv')
df = read_csv(path)
_check_plot_works(parallel_coordinates, df, 'Name')
_check_plot_works(parallel_coordinates, df, 'Name',
colors=('#556270', '#4ECDC4', '#C7F464'))
_check_plot_works(parallel_coordinates, df, 'Name',
colors=['dodgerblue', 'aquamarine', 'seagreen'])

@slow
def test_radviz(self):
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16 changes: 13 additions & 3 deletions pandas/tools/plotting.py
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Expand Up @@ -411,7 +411,8 @@ def bootstrap_plot(series, fig=None, size=50, samples=500, **kwds):
return fig


def parallel_coordinates(data, class_column, cols=None, ax=None, **kwds):
def parallel_coordinates(data, class_column, cols=None, ax=None, colors=None,
**kwds):
"""Parallel coordinates plotting.

Parameters:
Expand All @@ -420,6 +421,7 @@ def parallel_coordinates(data, class_column, cols=None, ax=None, **kwds):
class_column: Column name containing class names
cols: A list of column names to use, optional
ax: matplotlib axis object, optional
colors: A list or tuple of colors to use for the different classes, optional
kwds: A list of keywords for matplotlib plot method

Returns:
Expand Down Expand Up @@ -449,17 +451,25 @@ def random_color(column):
if ax == None:
ax = plt.gca()

# if user has not specified colors to use, choose at random
if colors is None:
colors = dict((kls, random_color(kls)) for kls in classes)
else:
if len(colors) != len(classes):
raise ValueError('Number of colors must match number of classes')
colors = dict((kls, colors[i]) for i, kls in enumerate(classes))

for i in range(n):
row = df.irow(i).values
y = row
kls = class_col.iget_value(i)
if com.pprint_thing(kls) not in used_legends:
label = com.pprint_thing(kls)
used_legends.add(label)
ax.plot(x, y, color=random_color(kls),
ax.plot(x, y, color=colors[kls],
label=label, **kwds)
else:
ax.plot(x, y, color=random_color(kls), **kwds)
ax.plot(x, y, color=colors[kls], **kwds)

for i in range(ncols):
ax.axvline(i, linewidth=1, color='black')
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