Closed
Description
Full demo of the issue (Breakage occurs prior to highlighting cells, as shown in the pictures)
from pandas import DataFrame
from seaborn import light_palette
# Initial Distance Matrix
cytochrome_c = {
"Turtle": (0, 19, 27, 8, 33, 18, 13),
"Man": (19, 0, 31, 18, 36, 1, 13),
"Tuna": (27, 31, 0, 26, 41, 32, 29),
"Chicken": (8, 18, 26, 0, 31, 17, 14),
"Moth": (33, 36, 41, 31, 0, 35, 28),
"Monkey": (18, 1, 32, 17, 35, 0, 12),
"Dog": (13, 13, 29, 14, 28, 12, 0),
}
cytochrome_c = DataFrame(cytochrome_c, index=cytochrome_c.keys())
cytochrome_c.style.background_gradient(
cmap=light_palette("indigo", as_cmap=True))
# Highlight mins
# Intermediate Distance Matrix - Cluster name changed to 'S'
working_cluster = {
"S": (0, 28.375, 31.875),
"Tuna": (28.375, 0, 41),
"Moth": (31.875, 41, 0)
}
working_cluster = DataFrame(working_cluster, index=working_cluster.keys())
working_cluster.style.background_gradient(
cmap=light_palette("indigo", as_cmap=True))
# Highlight mins
# Final Distance Matrix - Cluster name left alone
final_cluster = {
((("Turtle", "Chicken"), (("Man", "Monkey"), "Dog")), "Tuna"): (0,
36.4375),
"Moth": (36.4375, 0)
}
final_cluster = DataFrame(final_cluster, index=final_cluster.keys())
final_cluster.style.background_gradient(
cmap=light_palette("indigo", as_cmap=True))
# Highlight mins
# Intermediate Distance Matrix - Cluster name causes ValueError
broken_cluster = {
(("Turtle", "Chicken"), (("Man", "Monkey"), "Dog")): (0, 28.375, 31.875),
"Tuna": (28.375, 0, 41),
"Moth": (31.875, 41, 0)
}
broken_cluster = DataFrame(broken_cluster, index=broken_cluster.keys())
broken_cluster.style.background_gradient(
cmap=light_palette("indigo", as_cmap=True))
# Highlight minsWhen running the 'broken_cluster', the output is:
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
~/.local/miniconda3/lib/python3.7/site-packages/IPython/core/formatters.py in __call__(self, obj)
343 method = get_real_method(obj, self.print_method)
344 if method is not None:
--> 345 return method()
346 return None
347 else:
~/.local/miniconda3/lib/python3.7/site-packages/pandas/io/formats/style.py in _repr_html_(self)
149 def _repr_html_(self):
150 """Hooks into Jupyter notebook rich display system."""
--> 151 return self.render()
152
153 @Appender(_shared_docs['to_excel'] % dict(
~/.local/miniconda3/lib/python3.7/site-packages/pandas/io/formats/style.py in render(self, **kwargs)
444 * table_attributes
445 """
--> 446 self._compute()
447 # TODO: namespace all the pandas keys
448 d = self._translate()
~/.local/miniconda3/lib/python3.7/site-packages/pandas/io/formats/style.py in _compute(self)
512 r = self
513 for func, args, kwargs in self._todo:
--> 514 r = func(self)(*args, **kwargs)
515 return r
516
~/.local/miniconda3/lib/python3.7/site-packages/pandas/io/formats/style.py in _apply(self, func, axis, subset, **kwargs)
545 expect=expected_shape))
546 raise ValueError(msg)
--> 547 self._update_ctx(result)
548 return self
549
~/.local/miniconda3/lib/python3.7/site-packages/pandas/io/formats/style.py in _update_ctx(self, attrs)
468 for row_label, v in attrs.iterrows():
469 for col_label, col in v.iteritems():
--> 470 i = self.index.get_indexer([row_label])[0]
471 j = self.columns.get_indexer([col_label])[0]
472 for pair in col.rstrip(";").split(";"):
~/.local/miniconda3/lib/python3.7/site-packages/pandas/core/indexes/base.py in get_indexer(self, target, method, limit, tolerance)
3257 'backfill or nearest reindexing')
3258
-> 3259 indexer = self._engine.get_indexer(target._ndarray_values)
3260
3261 return _ensure_platform_int(indexer)
pandas/_libs/index.pyx in pandas._libs.index.IndexEngine.get_indexer()
pandas/_libs/hashtable_class_helper.pxi in pandas._libs.hashtable.PyObjectHashTable.lookup()
ValueError: Buffer has wrong number of dimensions (expected 1, got 3)
<pandas.io.formats.style.Styler at 0x1a18aa92b0>
Problem description
The pandas styler will sometimes fail with a ValueError when the column and index labels are tuples. This issue is reproducible with the data provided above.
This problem is fully demonstrated in my UPGMA repository, here.
Software Versions:
conda 4.5.12
pandas 0.23.4 py37h6440ff4_0
python 3.7.0 hc167b69_0
seaborn 0.9.0 py37_0
Expected Output
