/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/biom/table.py:4049: FutureWarning: SparseSeries is deprecated and will be removed in a future version.
Use a Series with sparse values instead.

    >>> series = pd.Series(pd.SparseArray(...))

See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.

  for r in self.matrix_data.tocsr()]
/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/biom/table.py:4052: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.
Use a regular DataFrame whose columns are SparseArrays instead.

See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.

  return constructor(mat, index=index, columns=columns)
/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/pandas/core/sparse/frame.py:854: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.
Use a regular DataFrame whose columns are SparseArrays instead.

See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.

  default_kind=self._default_kind,
/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/pandas/core/apply.py:401: FutureWarning: SparseSeries is deprecated and will be removed in a future version.
Use a Series with sparse values instead.

    >>> series = pd.Series(pd.SparseArray(...))

See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.

  for i, (arr, name) in enumerate(zip(self.values, self.index))
/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/pandas/core/ops/__init__.py:1641: FutureWarning: SparseSeries is deprecated and will be removed in a future version.
Use a Series with sparse values instead.

    >>> series = pd.Series(pd.SparseArray(...))

See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.

  return self._constructor(new_values, index=self.index, name=self.name)
/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/pandas/core/apply.py:437: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.
Use a regular DataFrame whose columns are SparseArrays instead.

See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.

  result = self.obj._constructor(data=results)
/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/pandas/core/generic.py:6094: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.
Use a regular DataFrame whose columns are SparseArrays instead.

See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.

  datetime=True, numeric=False, timedelta=True, coerce=False, copy=True
/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/pandas/core/generic.py:6289: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.
Use a regular DataFrame whose columns are SparseArrays instead.

See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.

  return self._constructor(new_data).__finalize__(self)
/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/pandas/core/apply.py:345: FutureWarning: SparseSeries is deprecated and will be removed in a future version.
Use a Series with sparse values instead.

    >>> series = pd.Series(pd.SparseArray(...))

See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.

  result = self.obj._constructor_sliced(results)
/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/pandas/core/series.py:4515: FutureWarning: SparseSeries is deprecated and will be removed in a future version.
Use a Series with sparse values instead.

    >>> series = pd.Series(pd.SparseArray(...))

See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.

  return self._constructor(result, index=self.index).__finalize__(self)
/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/pandas/core/sparse/series.py:585: FutureWarning: SparseSeries is deprecated and will be removed in a future version.
Use a Series with sparse values instead.

    >>> series = pd.Series(pd.SparseArray(...))

See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.

  return self._constructor(arr, index=self.index).__finalize__(self)
/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/pandas/core/generic.py:3606: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.
Use a regular DataFrame whose columns are SparseArrays instead.

See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.

  result = self._constructor(new_data).__finalize__(self)
/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/pandas/core/frame.py:3471: FutureWarning: SparseSeries is deprecated and will be removed in a future version.
Use a Series with sparse values instead.

    >>> series = pd.Series(pd.SparseArray(...))

See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.

  return klass(values, index=self.index, name=items, fastpath=True)
/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/pandas/core/frame.py:5024: FutureWarning: SparseDataFrame is deprecated and will be removed in a future version.
Use a regular DataFrame whose columns are SparseArrays instead.

See http://pandas.pydata.org/pandas-docs/stable/user_guide/sparse.html#migrating for more.

  return self._constructor(new_data).__finalize__(self)
Traceback (most recent call last):
  File "/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/pandas/core/indexes/base.py", line 2897, in get_loc
    return self._engine.get_loc(key)
  File "pandas/_libs/index.pyx", line 107, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/index.pyx", line 131, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 1607, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 1614, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'TACGTATGTGGCAAGCGTTATCCGGATTTATTGGGCGTAAAGCGAGCGCAGGCGGTCTTTTAAGTCTAATGTGAAAGCCTTCGGCTCAACCGAAGAAGTGCATTGGAAACTGGGAGACTTGAGTGCAGAAGAGGACAGTGGAACTCCATG'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/q2cli/commands.py", line 328, in __call__
    results = action(**arguments)
  File "</home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/decorator.py:decorator-gen-488>", line 2, in paired_heatmap
  File "/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/qiime2/sdk/action.py", line 240, in bound_callable
    output_types, provenance)
  File "/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/qiime2/sdk/action.py", line 445, in _callable_executor_
    ret_val = self._callable(output_dir=temp_dir, **view_args)
  File "/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/mmvec/q2/_visualizers.py", line 72, in paired_heatmap
    color_palette)
  File "/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/mmvec/heatmap.py", line 201, in paired_heatmaps
    for f in features] for m in x).keys()
  File "/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/mmvec/heatmap.py", line 201, in <listcomp>
    for f in features] for m in x).keys()
  File "/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/pandas/core/indexing.py", line 1424, in __getitem__
    return self._getitem_axis(maybe_callable, axis=axis)
  File "/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/pandas/core/indexing.py", line 1850, in _getitem_axis
    return self._get_label(key, axis=axis)
  File "/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/pandas/core/indexing.py", line 160, in _get_label
    return self.obj._xs(label, axis=axis)
  File "/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/pandas/core/generic.py", line 3737, in xs
    loc = self.index.get_loc(key)
  File "/home/qianhang/miniconda3/envs/qiime2-2019.10/lib/python3.6/site-packages/pandas/core/indexes/base.py", line 2899, in get_loc
    return self._engine.get_loc(self._maybe_cast_indexer(key))
  File "pandas/_libs/index.pyx", line 107, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/index.pyx", line 131, in pandas._libs.index.IndexEngine.get_loc
  File "pandas/_libs/hashtable_class_helper.pxi", line 1607, in pandas._libs.hashtable.PyObjectHashTable.get_item
  File "pandas/_libs/hashtable_class_helper.pxi", line 1614, in pandas._libs.hashtable.PyObjectHashTable.get_item
KeyError: 'TACGTATGTGGCAAGCGTTATCCGGATTTATTGGGCGTAAAGCGAGCGCAGGCGGTCTTTTAAGTCTAATGTGAAAGCCTTCGGCTCAACCGAAGAAGTGCATTGGAAACTGGGAGACTTGAGTGCAGAAGAGGACAGTGGAACTCCATG'