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The parallel coordinates function seems to currently assume that the class labels don't have an inherent ordering. I'd like to provide a sort option or a class-to-colour mapping to capture this. My specific use case is situations where the label are quantized buckets and a smooth colour change between buckets make the final plot easy to visualize.
The current function zips the available classes and the colour_values without any sorting.
I've identified where in the current '_parallel_coordinates' function a change should be made and would like to work on this.
Problem description
The parallel coordinates function seems to currently assume that the class labels don't have an inherent ordering. I'd like to provide a sort option or a class-to-colour mapping to capture this. My specific use case is situations where the label are quantized buckets and a smooth colour change between buckets make the final plot easy to visualize.
The current function zips the available classes and the colour_values without any sorting.
I've identified where in the current '_parallel_coordinates' function a change should be made and would like to work on this.
Output of
pd.show_versions()
pandas: 0.19.2
nose: None
pip: 9.0.1
setuptools: 34.3.2
Cython: None
numpy: 1.12.1
scipy: 0.19.0
statsmodels: None
xarray: None
IPython: 5.3.0
sphinx: None
patsy: None
dateutil: 2.6.0
pytz: 2016.10
blosc: None
bottleneck: None
tables: None
numexpr: None
matplotlib: 2.0.0
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: 0.999999999
httplib2: None
apiclient: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.9.5
boto: None
pandas_datareader: None
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