jcrist: This error isn't only thrown for custom functions, this also shows up when the user does an operation that's invalid:

```pytb
In [1]: import dask.dataframe as dd

In [2]: import pandas as pd

In [3]: df = pd.DataFrame({'a': ['x', 'y', 'y'], 'b': ['x', 'y', 'z'], 'c': [1, 2, 3]})

In [4]: ddf = dd.from_pandas(df, npartitions=1)

In [5]: ddf.a + ddf.c
---------------------------------------------------------------------------
...
ValueError: Metadata inference failed in `add`.

Original error is below:
------------------------
TypeError("ufunc 'add' did not contain a loop with signature matching types dtype('<U21') dtype('<U21') dtype('<U21')",)

Traceback:
---------
  File "/Users/jcrist/anaconda/envs/dask/lib/python3.5/site-packages/dask-0.17.1-py3.5.egg/dask/dataframe/utils.py", line 137, in raise_on_meta_error
    yield
  File "/Users/jcrist/anaconda/envs/dask/lib/python3.5/site-packages/dask-0.17.1-py3.5.egg/dask/dataframe/core.py", line 3062, in elemwise
    meta = partial_by_order(*parts, function=op, other=other)
  File "/Users/jcrist/anaconda/envs/dask/lib/python3.5/site-packages/dask-0.17.1-py3.5.egg/dask/utils.py", line 879, in partial_by_order
    return function(*args2, **kwargs)
  File "/Users/jcrist/anaconda/envs/dask/lib/python3.5/site-packages/pandas/core/ops.py", line 739, in wrapper
    result = wrap_results(safe_na_op(lvalues, rvalues))
  File "/Users/jcrist/anaconda/envs/dask/lib/python3.5/site-packages/pandas/core/ops.py", line 710, in safe_na_op
    lambda x: op(x, rvalues))
  File "pandas/_libs/algos_common_helper.pxi", line 1212, in pandas._libs.algos.arrmap_object
  File "/Users/jcrist/anaconda/envs/dask/lib/python3.5/site-packages/pandas/core/ops.py", line 710, in <lambda>
    lambda x: op(x, rvalues))
```

I recommend adding a flag to `raise_on_meta_error` to optionally add this suggestion, and then set it appropriately in the proper places.
diff --git a/dask/dataframe/core.py b/dask/dataframe/core.py
index ff2e21e63..c4d6eb99f 100644
--- a/dask/dataframe/core.py
+++ b/dask/dataframe/core.py
@@ -1970,7 +1970,7 @@ Dask Name: {name}, {task} tasks""".format(klass=self.__class__.__name__,
                enumerate(self.__dask_keys__())}
         dsk.update(self.dask)
         if meta is no_default:
-            meta = _emulate(M.map, self, arg, na_action=na_action)
+            meta = _emulate(M.map, self, arg, na_action=na_action, udf=True)
         else:
             meta = make_meta(meta)
 
@@ -2121,7 +2121,7 @@ Dask Name: {name}, {task} tasks""".format(klass=self.__class__.__name__,
 
             meta = _emulate(M.apply, self._meta_nonempty, func,
                             convert_dtype=convert_dtype,
-                            args=args, **kwds)
+                            args=args, udf=True, **kwds)
 
         return map_partitions(M.apply, self, func,
                               convert_dtype, args, meta=meta, **kwds)
@@ -2794,7 +2794,7 @@ class DataFrame(_Frame):
             warnings.warn(msg)
 
             meta = _emulate(M.apply, self._meta_nonempty, func,
-                            axis=axis, args=args, **kwds)
+                            axis=axis, args=args, udf=True, **kwds)
 
         return map_partitions(M.apply, self, func, axis,
                               False, False, None, args, meta=meta, **kwds)
@@ -3291,8 +3291,8 @@ def apply_concat_apply(args, chunk=None, aggregate=None, combine=None,
             dsk[(b, j)] = (aggregate, conc)
 
     if meta is no_default:
-        meta_chunk = _emulate(chunk, *args, **chunk_kwargs)
-        meta = _emulate(aggregate, _concat([meta_chunk]),
+        meta_chunk = _emulate(chunk, *args, udf=True, **chunk_kwargs)
+        meta = _emulate(aggregate, _concat([meta_chunk]), udf=True,
                         **aggregate_kwargs)
     meta = make_meta(meta)
 
@@ -3332,7 +3332,7 @@ def _emulate(func, *args, **kwargs):
     Apply a function using args / kwargs. If arguments contain dd.DataFrame /
     dd.Series, using internal cache (``_meta``) for calculation
     """
-    with raise_on_meta_error(funcname(func)):
+    with raise_on_meta_error(funcname(func), udf=kwargs.pop('udf', False)):
         return func(*_extract_meta(args, True), **_extract_meta(kwargs, True))
 
 
@@ -3369,7 +3369,7 @@ def map_partitions(func, *args, **kwargs):
     args = _maybe_align_partitions(args)
 
     if meta is no_default:
-        meta = _emulate(func, *args, **kwargs)
+        meta = _emulate(func, *args, udf=True, **kwargs)
 
     if all(isinstance(arg, Scalar) for arg in args):
         dask = {(name, 0):
diff --git a/dask/dataframe/utils.py b/dask/dataframe/utils.py
index 1f23badea..dbbc66fed 100644
--- a/dask/dataframe/utils.py
+++ b/dask/dataframe/utils.py
@@ -124,7 +124,7 @@ def insert_meta_param_description(*args, **kwargs):
 
 
 @contextmanager
-def raise_on_meta_error(funcname=None):
+def raise_on_meta_error(funcname=None, udf=False):
     """Reraise errors in this block to show metadata inference failure.
 
     Parameters
@@ -138,15 +138,19 @@ def raise_on_meta_error(funcname=None):
     except Exception as e:
         exc_type, exc_value, exc_traceback = sys.exc_info()
         tb = ''.join(traceback.format_tb(exc_traceback))
-        msg = ("Metadata inference failed{0}.\n\n"
-               "Original error is below:\n"
-               "------------------------\n"
-               "{1}\n\n"
-               "Traceback:\n"
-               "---------\n"
-               "{2}"
-               ).format(" in `{0}`".format(funcname) if funcname else "",
-                        repr(e), tb)
+        msg = "Metadata inference failed{0}.\n\n"
+        if udf:
+            msg += ("You have supplied a custom function and Dask is unable to \n"
+                    "determine the type of output that that function returns. \n\n"
+                    "To resolve this please provide a meta= keyword.\n"
+                    "The docstring of the Dask function you ran should have more information.\n\n")
+        msg += ("Original error is below:\n"
+                "------------------------\n"
+                "{1}\n\n"
+                "Traceback:\n"
+                "---------\n"
+                "{2}")
+        msg = msg.format(" in `{0}`".format(funcname) if funcname else "", repr(e), tb)
         raise ValueError(msg)
 
 
diff --git a/dask/delayed.py b/dask/delayed.py
index 484a45564..1da6e040c 100644
--- a/dask/delayed.py
+++ b/dask/delayed.py
@@ -132,7 +132,9 @@ def delayed(obj, name=None, pure=None, nout=None, traverse=True):
         The function or object to wrap
     name : string or hashable, optional
         The key to use in the underlying graph for the wrapped object. Defaults
-        to hashing content.
+        to hashing content. Note that this only affects the name of the object
+        wrapped by this call to delayed, and *not* the output of delayed
+        function calls - for that use ``dask_key_name=`` as described below.
     pure : bool, optional
         Indicates whether calling the resulting ``Delayed`` object is a pure
         operation. If True, arguments to the call are hashed to produce
diff --git a/docs/source/changelog.rst b/docs/source/changelog.rst
index fb39b4e1d..6d144c877 100644
--- a/docs/source/changelog.rst
+++ b/docs/source/changelog.rst
@@ -17,6 +17,7 @@ DataFrame
 - Allow `t` as shorthand for `table` in `to_hdf` for pandas compatibility `Jörg Dietrich`_
 - Added top level `isna` method for Dask DataFrames (:pr:`3294`) `Christopher Ren`_
 - Fix selection on partition column on ``read_parquet`` for ``engine="pyarrow"`` (:pr:`3207`) `Uwe Korn`_
+- Provide more informative error message for meta= errors (:pr:`3343`) `Matthew Rocklin`_
 
 Bag
 +++

DataFrame: Splitting a list to multiple columns is throwing error 
I was trying to split a string and saved value in a temp column and use that column to populate additional columns.  I am able to split string and convert to a list. But while fetching elements from list and assigning to new column is throwing error. 

I have tried to recreate the error with below code:

```
df = pd.DataFrame({ 'a' : [1, 2, 3] ,
      'b' : ['a|b|c|d|e|f|g', 'a|b|c|d|e|f|g', 'a|b|c|d|e|f|g']
            })
ddf = dd.from_pandas(df,1)
ddf['c'] = ddf.b.str.split('|')
ddf = ddf.assign(col1= ddf.c.map(lambda x: x[0]))
ddf = ddf.assign(col2= ddf.c.map(lambda x: x[1]))
ddf = ddf.assign(col3= ddf.c.map(lambda x: x[2]))
ddf = ddf.assign(col4= ddf.c.map(lambda x: x[3]))
```
Getting error while executing last line >> ddf = ddf.assign(col4= ddf.c.map(lambda x: x[3]))
   IndexError('string index out of range',) 


diff --git a/dask/array/tests/test_routines.py b/dask/array/tests/test_routines.py
index 3e1c694b2..70bd0ea1c 100644
--- a/dask/array/tests/test_routines.py
+++ b/dask/array/tests/test_routines.py
@@ -1,6 +1,7 @@
 from __future__ import division, print_function, absolute_import
 
 import itertools
+import textwrap
 
 import pytest
 from distutils.version import LooseVersion
@@ -890,6 +891,8 @@ def test_choose():
 
 
 def test_piecewise():
+    np.random.seed(1337)
+
     x = np.random.randint(10, size=(15, 16))
     d = da.from_array(x, chunks=(4, 5))
 
@@ -898,16 +901,33 @@ def test_piecewise():
         da.piecewise(d, [d < 5, d >= 5], [lambda e, v, k: e + 1, 5], 1, k=2)
     )
 
+
+@pytest.mark.skipif(
+    LooseVersion(np.__version__) < '1.12.0',
+    reason=textwrap.dedent(
+        """\
+            NumPy piecewise mishandles the otherwise condition pre-1.12.0.
+
+            xref: https://github.com/numpy/numpy/issues/5737
+        """
+    )
+)
+def test_piecewise_otherwise():
+    np.random.seed(1337)
+
+    x = np.random.randint(10, size=(15, 16))
+    d = da.from_array(x, chunks=(4, 5))
+
     assert_eq(
         np.piecewise(
             x,
-            [x > 2, x <= 5],
+            [x > 5, x <= 2],
             [lambda e, v, k: e + 1, lambda e, v, k: v * e, lambda e, v, k: 0],
             1, k=2
         ),
         da.piecewise(
             d,
-            [d > 5, d <= 5],
+            [d > 5, d <= 2],
             [lambda e, v, k: e + 1, lambda e, v, k: v * e, lambda e, v, k: 0],
             1, k=2
         )
diff --git a/dask/dataframe/tests/test_dataframe.py b/dask/dataframe/tests/test_dataframe.py
index a7d15a898..fc9b5c2f9 100644
--- a/dask/dataframe/tests/test_dataframe.py
+++ b/dask/dataframe/tests/test_dataframe.py
@@ -3042,3 +3042,24 @@ def test_mixed_dask_array_multi_dimensional():
     assert_eq(ddf + dx + 1, df + x + 1)
     assert_eq(ddf + dx.rechunk((None, 1)) + 1, df + x + 1)
     assert_eq(ddf[['y', 'x']] + dx + 1, df[['y', 'x']] + x + 1)
+
+
+def test_meta_raises():
+    # Raise when we use a user defined fucntion
+    s = pd.Series(['abcd', 'abcd'])
+    ds = dd.from_pandas(s, npartitions=2)
+    try:
+        ds.map(lambda x: x[3])
+    except ValueError as e:
+        assert "meta=" in str(e)
+
+    # But not otherwise
+    df = pd.DataFrame({'a': ['x', 'y', 'y'],
+                       'b': ['x', 'y', 'z'],
+                       'c': [1, 2, 3]})
+    ddf = dd.from_pandas(df, npartitions=1)
+
+    with pytest.raises(Exception) as info:
+        ddf.a + ddf.c
+
+    assert "meta=" not in str(info.value)

pip install -e .[complete]
parse_log_pytest
pytest
pytest
3.6
pytest --no-header -rA --tb=line --color=no -p no:cacheprovider -W ignore::DeprecationWarning
attrs @ file:///opt/conda/conda-bld/attrs_1642510447205/work
certifi==2021.5.30
click==8.0.4
cloudpickle==2.2.1
-e git+https://github.com/dask/dask.git@a18e4e9934eda54ed78edb11b80228cf9124c607#egg=dask
distributed==1.21.8
HeapDict==1.0.1
importlib-metadata @ file:///tmp/build/80754af9/importlib-metadata_1631916693255/work
iniconfig @ file:///home/linux1/recipes/ci/iniconfig_1610983019677/work
locket==1.0.0
more-itertools @ file:///tmp/build/80754af9/more-itertools_1637733554872/work
msgpack==1.0.5
numpy==1.19.5
packaging @ file:///tmp/build/80754af9/packaging_1637314298585/work
pandas==1.1.5
partd==1.2.0
pluggy @ file:///tmp/build/80754af9/pluggy_1615976315926/work
psutil==7.0.0
py @ file:///opt/conda/conda-bld/py_1644396412707/work
pyparsing @ file:///tmp/build/80754af9/pyparsing_1635766073266/work
pytest==6.2.4
python-dateutil==2.9.0.post0
pytz==2025.2
six==1.17.0
sortedcontainers==2.4.0
tblib==1.7.0
toml @ file:///tmp/build/80754af9/toml_1616166611790/work
toolz==0.12.0
tornado==6.1
typing_extensions @ file:///opt/conda/conda-bld/typing_extensions_1647553014482/work
zict==2.1.0
zipp @ file:///tmp/build/80754af9/zipp_1633618647012/work

name: dask
channels:
  - defaults
  - https://repo.anaconda.com/pkgs/main
  - https://repo.anaconda.com/pkgs/r
  - conda-forge
dependencies:
  - _libgcc_mutex=0.1=main
  - _openmp_mutex=5.1=1_gnu
  - attrs=21.4.0=pyhd3eb1b0_0
  - ca-certificates=2025.2.25=h06a4308_0
  - certifi=2021.5.30=py36h06a4308_0
  - importlib-metadata=4.8.1=py36h06a4308_0
  - importlib_metadata=4.8.1=hd3eb1b0_0
  - iniconfig=1.1.1=pyhd3eb1b0_0
  - ld_impl_linux-64=2.40=h12ee557_0
  - libffi=3.3=he6710b0_2
  - libgcc-ng=11.2.0=h1234567_1
  - libgomp=11.2.0=h1234567_1
  - libstdcxx-ng=11.2.0=h1234567_1
  - more-itertools=8.12.0=pyhd3eb1b0_0
  - ncurses=6.4=h6a678d5_0
  - openssl=1.1.1w=h7f8727e_0
  - packaging=21.3=pyhd3eb1b0_0
  - pip=21.2.2=py36h06a4308_0
  - pluggy=0.13.1=py36h06a4308_0
  - py=1.11.0=pyhd3eb1b0_0
  - pyparsing=3.0.4=pyhd3eb1b0_0
  - pytest=6.2.4=py36h06a4308_2
  - python=3.6.13=h12debd9_1
  - readline=8.2=h5eee18b_0
  - setuptools=58.0.4=py36h06a4308_0
  - sqlite=3.45.3=h5eee18b_0
  - tk=8.6.14=h39e8969_0
  - toml=0.10.2=pyhd3eb1b0_0
  - typing_extensions=4.1.1=pyh06a4308_0
  - wheel=0.37.1=pyhd3eb1b0_0
  - xz=5.6.4=h5eee18b_1
  - zipp=3.6.0=pyhd3eb1b0_0
  - zlib=1.2.13=h5eee18b_1
  - pip:
      - click==8.0.4
      - cloudpickle==2.2.1
      - distributed==1.21.8
      - heapdict==1.0.1
      - locket==1.0.0
      - msgpack==1.0.5
      - numpy==1.19.5
      - pandas==1.1.5
      - partd==1.2.0
      - psutil==7.0.0
      - python-dateutil==2.9.0.post0
      - pytz==2025.2
      - six==1.17.0
      - sortedcontainers==2.4.0
      - tblib==1.7.0
      - toolz==0.12.0
      - tornado==6.1
      - zict==2.1.0
prefix: /opt/conda/envs/dask

dask/dataframe/tests/test_dataframe.py::test_meta_raises
dask/dataframe/tests/test_dataframe.py::test_Dataframe dask/dataframe/tests/test_dataframe.py::test_attributes dask/dataframe/tests/test_dataframe.py::test_timezone_freq[npartitions1] dask/dataframe/tests/test_dataframe.py::test_clip[2-5] dask/dataframe/tests/test_dataframe.py::test_clip[2.5-3.5] dask/dataframe/tests/test_dataframe.py::test_dataframe_picklable dask/dataframe/tests/test_dataframe.py::test_repartition_freq_divisions dask/dataframe/tests/test_dataframe.py::test_repartition_freq_month dask/dataframe/tests/test_dataframe.py::test_select_dtypes[include0-None] dask/dataframe/tests/test_dataframe.py::test_select_dtypes[None-exclude1] dask/dataframe/tests/test_dataframe.py::test_select_dtypes[include2-exclude2] dask/dataframe/tests/test_dataframe.py::test_select_dtypes[include3-None] dask/dataframe/tests/test_dataframe.py::test_to_timestamp dask/dataframe/tests/test_dataframe.py::test_apply dask/dataframe/tests/test_dataframe.py::test_cov_corr_mixed dask/dataframe/tests/test_dataframe.py::test_apply_infer_columns dask/dataframe/tests/test_dataframe.py::test_info dask/dataframe/tests/test_dataframe.py::test_groupby_multilevel_info dask/dataframe/tests/test_dataframe.py::test_categorize_info dask/dataframe/tests/test_dataframe.py::test_idxmaxmin[idx2-True] dask/dataframe/tests/test_dataframe.py::test_idxmaxmin[idx2-False] dask/dataframe/tests/test_dataframe.py::test_shift dask/dataframe/tests/test_dataframe.py::test_shift_with_freq dask/dataframe/tests/test_dataframe.py::test_first_and_last[first] dask/dataframe/tests/test_dataframe.py::test_first_and_last[last] dask/dataframe/tests/test_dataframe.py::test_datetime_loc_open_slicing
dask/array/tests/test_routines.py::test_array dask/array/tests/test_routines.py::test_atleast_nd_no_args[atleast_1d] dask/array/tests/test_routines.py::test_atleast_nd_no_args[atleast_2d] dask/array/tests/test_routines.py::test_atleast_nd_no_args[atleast_3d] dask/array/tests/test_routines.py::test_atleast_nd_one_arg[shape0-chunks0-atleast_1d] dask/array/tests/test_routines.py::test_atleast_nd_one_arg[shape0-chunks0-atleast_2d] dask/array/tests/test_routines.py::test_atleast_nd_one_arg[shape0-chunks0-atleast_3d] dask/array/tests/test_routines.py::test_atleast_nd_one_arg[shape1-chunks1-atleast_1d] dask/array/tests/test_routines.py::test_atleast_nd_one_arg[shape1-chunks1-atleast_2d] dask/array/tests/test_routines.py::test_atleast_nd_one_arg[shape1-chunks1-atleast_3d] dask/array/tests/test_routines.py::test_atleast_nd_one_arg[shape2-chunks2-atleast_1d] dask/array/tests/test_routines.py::test_atleast_nd_one_arg[shape2-chunks2-atleast_2d] dask/array/tests/test_routines.py::test_atleast_nd_one_arg[shape2-chunks2-atleast_3d] dask/array/tests/test_routines.py::test_atleast_nd_one_arg[shape3-chunks3-atleast_1d] dask/array/tests/test_routines.py::test_atleast_nd_one_arg[shape3-chunks3-atleast_2d] dask/array/tests/test_routines.py::test_atleast_nd_one_arg[shape3-chunks3-atleast_3d] dask/array/tests/test_routines.py::test_atleast_nd_one_arg[shape4-chunks4-atleast_1d] dask/array/tests/test_routines.py::test_atleast_nd_one_arg[shape4-chunks4-atleast_2d] dask/array/tests/test_routines.py::test_atleast_nd_one_arg[shape4-chunks4-atleast_3d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape10-shape20-atleast_1d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape10-shape20-atleast_2d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape10-shape20-atleast_3d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape11-shape21-atleast_1d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape11-shape21-atleast_2d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape11-shape21-atleast_3d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape12-shape22-atleast_1d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape12-shape22-atleast_2d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape12-shape22-atleast_3d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape13-shape23-atleast_1d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape13-shape23-atleast_2d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape13-shape23-atleast_3d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape14-shape24-atleast_1d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape14-shape24-atleast_2d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape14-shape24-atleast_3d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape15-shape25-atleast_1d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape15-shape25-atleast_2d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape15-shape25-atleast_3d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape16-shape26-atleast_1d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape16-shape26-atleast_2d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape16-shape26-atleast_3d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape17-shape27-atleast_1d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape17-shape27-atleast_2d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape17-shape27-atleast_3d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape18-shape28-atleast_1d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape18-shape28-atleast_2d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape18-shape28-atleast_3d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape19-shape29-atleast_1d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape19-shape29-atleast_2d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape19-shape29-atleast_3d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape110-shape210-atleast_1d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape110-shape210-atleast_2d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape110-shape210-atleast_3d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape111-shape211-atleast_1d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape111-shape211-atleast_2d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape111-shape211-atleast_3d] dask/array/tests/test_routines.py::test_atleast_nd_two_args[shape112-shape212-atleast_1d] 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dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-int-5-2-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-int-5-2-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-int-5-4-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-int-5-4-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-int-5-5-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-int-5-5-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-1-1-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-1-1-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-1-2-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-1-2-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-1-4-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-1-4-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-1-5-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-1-5-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-2-1-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-2-1-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-2-2-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-2-2-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-2-4-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-2-4-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-2-5-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-2-5-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-4-1-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-4-1-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-4-2-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-4-2-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-4-4-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-4-4-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-4-5-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-4-5-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-5-1-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-5-1-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-5-2-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-5-2-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-5-4-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-5-4-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-5-5-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-float-5-5-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-1-1-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-1-1-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-1-2-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-1-2-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-1-4-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-1-4-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-1-5-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-1-5-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-2-1-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-2-1-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-2-2-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-2-2-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-2-4-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-2-4-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-2-5-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-2-5-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-4-1-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-4-1-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-4-2-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-4-2-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-4-4-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-4-4-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-4-5-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-4-5-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-5-1-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-5-1-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-5-2-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-5-2-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-5-4-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-5-4-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-5-5-True] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions[<lambda>1-M8[ns]-5-5-False] dask/dataframe/tests/test_dataframe.py::test_repartition_npartitions_same_limits dask/dataframe/tests/test_dataframe.py::test_repartition_object_index dask/dataframe/tests/test_dataframe.py::test_repartition_freq_errors dask/dataframe/tests/test_dataframe.py::test_embarrassingly_parallel_operations dask/dataframe/tests/test_dataframe.py::test_fillna dask/dataframe/tests/test_dataframe.py::test_fillna_multi_dataframe dask/dataframe/tests/test_dataframe.py::test_ffill_bfill dask/dataframe/tests/test_dataframe.py::test_fillna_series_types dask/dataframe/tests/test_dataframe.py::test_sample dask/dataframe/tests/test_dataframe.py::test_sample_without_replacement dask/dataframe/tests/test_dataframe.py::test_datetime_accessor dask/dataframe/tests/test_dataframe.py::test_str_accessor dask/dataframe/tests/test_dataframe.py::test_empty_max dask/dataframe/tests/test_dataframe.py::test_deterministic_apply_concat_apply_names dask/dataframe/tests/test_dataframe.py::test_aca_meta_infer dask/dataframe/tests/test_dataframe.py::test_aca_split_every dask/dataframe/tests/test_dataframe.py::test_reduction_method dask/dataframe/tests/test_dataframe.py::test_reduction_method_split_every dask/dataframe/tests/test_dataframe.py::test_pipe dask/dataframe/tests/test_dataframe.py::test_gh_517 dask/dataframe/tests/test_dataframe.py::test_drop_axis_1 dask/dataframe/tests/test_dataframe.py::test_gh580 dask/dataframe/tests/test_dataframe.py::test_rename_dict dask/dataframe/tests/test_dataframe.py::test_rename_function dask/dataframe/tests/test_dataframe.py::test_rename_index dask/dataframe/tests/test_dataframe.py::test_to_frame dask/dataframe/tests/test_dataframe.py::test_apply_warns dask/dataframe/tests/test_dataframe.py::test_applymap dask/dataframe/tests/test_dataframe.py::test_abs dask/dataframe/tests/test_dataframe.py::test_round dask/dataframe/tests/test_dataframe.py::test_cov dask/dataframe/tests/test_dataframe.py::test_corr dask/dataframe/tests/test_dataframe.py::test_cov_corr_meta dask/dataframe/tests/test_dataframe.py::test_autocorr dask/dataframe/tests/test_dataframe.py::test_index_time_properties dask/dataframe/tests/test_dataframe.py::test_nlargest_nsmallest dask/dataframe/tests/test_dataframe.py::test_reset_index dask/dataframe/tests/test_dataframe.py::test_dataframe_compute_forward_kwargs dask/dataframe/tests/test_dataframe.py::test_series_iteritems dask/dataframe/tests/test_dataframe.py::test_dataframe_iterrows dask/dataframe/tests/test_dataframe.py::test_dataframe_itertuples dask/dataframe/tests/test_dataframe.py::test_astype dask/dataframe/tests/test_dataframe.py::test_astype_categoricals dask/dataframe/tests/test_dataframe.py::test_astype_categoricals_known dask/dataframe/tests/test_dataframe.py::test_groupby_callable dask/dataframe/tests/test_dataframe.py::test_methods_tokenize_differently dask/dataframe/tests/test_dataframe.py::test_gh_1301 dask/dataframe/tests/test_dataframe.py::test_timeseries_sorted dask/dataframe/tests/test_dataframe.py::test_column_assignment dask/dataframe/tests/test_dataframe.py::test_columns_assignment dask/dataframe/tests/test_dataframe.py::test_attribute_assignment dask/dataframe/tests/test_dataframe.py::test_setitem_triggering_realign dask/dataframe/tests/test_dataframe.py::test_inplace_operators dask/dataframe/tests/test_dataframe.py::test_idxmaxmin[idx0-True] dask/dataframe/tests/test_dataframe.py::test_idxmaxmin[idx0-False] dask/dataframe/tests/test_dataframe.py::test_idxmaxmin[idx1-True] dask/dataframe/tests/test_dataframe.py::test_idxmaxmin[idx1-False] dask/dataframe/tests/test_dataframe.py::test_idxmaxmin_empty_partitions dask/dataframe/tests/test_dataframe.py::test_getitem_meta dask/dataframe/tests/test_dataframe.py::test_getitem_multilevel dask/dataframe/tests/test_dataframe.py::test_diff dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[None-2-1] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[None-2-4] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[None-2-20] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[None-5-1] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[None-5-4] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[None-5-20] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[1-2-1] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[1-2-4] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[1-2-20] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[1-5-1] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[1-5-4] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[1-5-20] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[5-2-1] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[5-2-4] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[5-2-20] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[5-5-1] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[5-5-4] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[5-5-20] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[20-2-1] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[20-2-4] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[20-2-20] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[20-5-1] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[20-5-4] dask/dataframe/tests/test_dataframe.py::test_hash_split_unique[20-5-20] dask/dataframe/tests/test_dataframe.py::test_split_out_drop_duplicates[None] dask/dataframe/tests/test_dataframe.py::test_split_out_drop_duplicates[2] dask/dataframe/tests/test_dataframe.py::test_split_out_value_counts[None] dask/dataframe/tests/test_dataframe.py::test_split_out_value_counts[2] dask/dataframe/tests/test_dataframe.py::test_values dask/dataframe/tests/test_dataframe.py::test_copy dask/dataframe/tests/test_dataframe.py::test_del dask/dataframe/tests/test_dataframe.py::test_memory_usage[True-True] dask/dataframe/tests/test_dataframe.py::test_memory_usage[True-False] dask/dataframe/tests/test_dataframe.py::test_memory_usage[False-True] dask/dataframe/tests/test_dataframe.py::test_memory_usage[False-False] dask/dataframe/tests/test_dataframe.py::test_dataframe_reductions_arithmetic[sum] dask/dataframe/tests/test_dataframe.py::test_dataframe_reductions_arithmetic[mean] dask/dataframe/tests/test_dataframe.py::test_dataframe_reductions_arithmetic[std] dask/dataframe/tests/test_dataframe.py::test_dataframe_reductions_arithmetic[var] dask/dataframe/tests/test_dataframe.py::test_dataframe_reductions_arithmetic[count] dask/dataframe/tests/test_dataframe.py::test_dataframe_reductions_arithmetic[min] dask/dataframe/tests/test_dataframe.py::test_dataframe_reductions_arithmetic[max] dask/dataframe/tests/test_dataframe.py::test_dataframe_reductions_arithmetic[idxmin] dask/dataframe/tests/test_dataframe.py::test_dataframe_reductions_arithmetic[idxmax] dask/dataframe/tests/test_dataframe.py::test_dataframe_reductions_arithmetic[prod] dask/dataframe/tests/test_dataframe.py::test_dataframe_reductions_arithmetic[all] dask/dataframe/tests/test_dataframe.py::test_dataframe_reductions_arithmetic[sem] dask/dataframe/tests/test_dataframe.py::test_to_datetime dask/dataframe/tests/test_dataframe.py::test_to_timedelta dask/dataframe/tests/test_dataframe.py::test_isna[values0] dask/dataframe/tests/test_dataframe.py::test_isna[values1] dask/dataframe/tests/test_dataframe.py::test_slice_on_filtered_boundary[0] dask/dataframe/tests/test_dataframe.py::test_slice_on_filtered_boundary[9] dask/dataframe/tests/test_dataframe.py::test_boundary_slice_nonmonotonic dask/dataframe/tests/test_dataframe.py::test_with_boundary[-1-None-False-False-drop0] dask/dataframe/tests/test_dataframe.py::test_with_boundary[-1-None-False-True-drop1] dask/dataframe/tests/test_dataframe.py::test_with_boundary[None-3-False-False-drop2] dask/dataframe/tests/test_dataframe.py::test_with_boundary[None-3-True-False-drop3] dask/dataframe/tests/test_dataframe.py::test_with_boundary[-0.5-None-False-False-drop4] dask/dataframe/tests/test_dataframe.py::test_with_boundary[-0.5-None-False-True-drop5] dask/dataframe/tests/test_dataframe.py::test_with_boundary[-1.5-None-False-True-drop6] dask/dataframe/tests/test_dataframe.py::test_with_boundary[None-3.5-False-False-drop7] dask/dataframe/tests/test_dataframe.py::test_with_boundary[None-3.5-True-False-drop8] dask/dataframe/tests/test_dataframe.py::test_with_boundary[None-2.5-False-False-drop9] dask/dataframe/tests/test_dataframe.py::test_boundary_slice_same[index0-0-9] dask/dataframe/tests/test_dataframe.py::test_boundary_slice_same[index1--1-None] dask/dataframe/tests/test_dataframe.py::test_boundary_slice_same[index2-None-10] dask/dataframe/tests/test_dataframe.py::test_boundary_slice_same[index3-None-None] dask/dataframe/tests/test_dataframe.py::test_boundary_slice_same[index4--1-None] dask/dataframe/tests/test_dataframe.py::test_boundary_slice_same[index5-None-2] dask/dataframe/tests/test_dataframe.py::test_boundary_slice_same[index6--2-3] dask/dataframe/tests/test_dataframe.py::test_boundary_slice_same[index7-None-None] dask/dataframe/tests/test_dataframe.py::test_boundary_slice_same[index8-left8-None] dask/dataframe/tests/test_dataframe.py::test_boundary_slice_same[index9-None-right9] dask/dataframe/tests/test_dataframe.py::test_boundary_slice_same[index10-left10-None] dask/dataframe/tests/test_dataframe.py::test_boundary_slice_same[index11-None-right11] dask/dataframe/tests/test_dataframe.py::test_better_errors_object_reductions dask/dataframe/tests/test_dataframe.py::test_sample_empty_partitions dask/dataframe/tests/test_dataframe.py::test_coerce dask/dataframe/tests/test_dataframe.py::test_bool dask/dataframe/tests/test_dataframe.py::test_cumulative_multiple_columns dask/dataframe/tests/test_dataframe.py::test_map_partition_array[asarray] dask/dataframe/tests/test_dataframe.py::test_map_partition_array[func1] dask/dataframe/tests/test_dataframe.py::test_mixed_dask_array_operations dask/dataframe/tests/test_dataframe.py::test_mixed_dask_array_operations_errors dask/dataframe/tests/test_dataframe.py::test_mixed_dask_array_multi_dimensional
dask/dataframe/core.py docs/source/changelog.rst dask/delayed.py dask/dataframe/utils.py
dask/dataframe/core.py docs/source/changelog.rst dask/delayed.py dask/dataframe/utils.py