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"""
Qualitative color sequences are appropriate for data that has no natural ordering, such \
as categories, colors, names, countries etc. The color sequences in this module are \
mostly meant to be passed in as the `color_discrete_sequence` argument to various functions.
"""
from ._swatches import _swatches
def swatches(template=None):
return _swatches(__name__, globals(), template)
swatches.__doc__ = _swatches.__doc__
Plotly = [
"#636EFA",
"#EF553B",
"#00CC96",
"#AB63FA",
"#FFA15A",
"#19D3F3",
"#FF6692",
"#B6E880",
"#FF97FF",
"#FECB52",
]
D3 = [
"#1F77B4",
"#FF7F0E",
"#2CA02C",
"#D62728",
"#9467BD",
"#8C564B",
"#E377C2",
"#7F7F7F",
"#BCBD22",
"#17BECF",
]
G10 = [
"#3366CC",
"#DC3912",
"#FF9900",
"#109618",
"#990099",
"#0099C6",
"#DD4477",
"#66AA00",
"#B82E2E",
"#316395",
]
T10 = [
"#4C78A8",
"#F58518",
"#E45756",
"#72B7B2",
"#54A24B",
"#EECA3B",
"#B279A2",
"#FF9DA6",
"#9D755D",
"#BAB0AC",
]
Alphabet = [
"#AA0DFE",
"#3283FE",
"#85660D",
"#782AB6",
"#565656",
"#1C8356",
"#16FF32",
"#F7E1A0",
"#E2E2E2",
"#1CBE4F",
"#C4451C",
"#DEA0FD",
"#FE00FA",
"#325A9B",
"#FEAF16",
"#F8A19F",
"#90AD1C",
"#F6222E",
"#1CFFCE",
"#2ED9FF",
"#B10DA1",
"#C075A6",
"#FC1CBF",
"#B00068",
"#FBE426",
"#FA0087",
]
Dark24 = [
"#2E91E5",
"#E15F99",
"#1CA71C",
"#FB0D0D",
"#DA16FF",
"#222A2A",
"#B68100",
"#750D86",
"#EB663B",
"#511CFB",
"#00A08B",
"#FB00D1",
"#FC0080",
"#B2828D",
"#6C7C32",
"#778AAE",
"#862A16",
"#A777F1",
"#620042",
"#1616A7",
"#DA60CA",
"#6C4516",
"#0D2A63",
"#AF0038",
]
Light24 = [
"#FD3216",
"#00FE35",
"#6A76FC",
"#FED4C4",
"#FE00CE",
"#0DF9FF",
"#F6F926",
"#FF9616",
"#479B55",
"#EEA6FB",
"#DC587D",
"#D626FF",
"#6E899C",
"#00B5F7",
"#B68E00",
"#C9FBE5",
"#FF0092",
"#22FFA7",
"#E3EE9E",
"#86CE00",
"#BC7196",
"#7E7DCD",
"#FC6955",
"#E48F72",
]
from .colorbrewer import Set1, Pastel1, Dark2, Set2, Pastel2, Set3 # noqa: F401
from .carto import Antique, Bold, Pastel, Prism, Safe, Vivid # noqa: F401
# Prefix variable names with _ so that they will not be added to the swatches
_contents = dict(globals())
for _k, _cols in _contents.items():
if _k.startswith("_") or _k.startswith("swatches") or _k.endswith("_r"):
continue
globals()[_k + "_r"] = _cols[::-1]
__all__ = ["swatches"]
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