ValueError: too many values to unpack (expected 2) when showing a DataTable in Jupyter
jperez-dx opened this issue · comments
I'm getting the error shown below when running the following cell in Jupyter:
dp.DataTable(pandas_df)
Trace
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
File /opt/conda/lib/python3.9/site-packages/IPython/core/formatters.py:920, in IPythonDisplayFormatter.__call__(self, obj)
918 method = get_real_method(obj, self.print_method)
919 if method is not None:
--> 920 method()
921 return True
File /opt/conda/lib/python3.9/site-packages/datapane/blocks/base.py:94, in BaseBlock._ipython_display_(self)
91 from datapane.view import Blocks
93 if get_environment().support_rich_display:
---> 94 html_str = stringify_report(Blocks(self))
95 display(HTML(html_str))
96 else:
File /opt/conda/lib/python3.9/site-packages/datapane/processors/api.py:126, in stringify_report(blocks, name, formatting)
116 """Stringify the app document to a HTML string
117
118 Args:
(...)
121 formatting: Sets the basic app styling
122 """
124 s = ViewState(blocks=Blocks.wrap_blocks(blocks), file_entry_klass=B64FileEntry)
125 report_html: str = (
--> 126 Pipeline(s)
127 .pipe(PreProcessView())
128 .pipe(ConvertXML())
129 .pipe(ExportHTMLStringInlineAssets(name=name, formatting=formatting))
130 .result
131 )
133 return report_html
File /opt/conda/lib/python3.9/site-packages/datapane/processors/types.py:59, in Pipeline.pipe(self, p)
57 def pipe(self, p: BaseProcessor[P_IN, P_OUT]) -> Pipeline[P_OUT]:
58 p.s = self._state
---> 59 y = p.__call__(self._x) # need to call as positional args
60 self._state = p.s
61 return Pipeline(self._state, y)
File /opt/conda/lib/python3.9/site-packages/datapane/processors/processors.py:90, in ConvertXML.__call__(self, _)
89 def __call__(self, _: t.Any) -> ElementT:
---> 90 initial_doc = self.convert_xml()
91 transformed_doc = self.post_transforms(initial_doc)
93 # convert to string
File /opt/conda/lib/python3.9/site-packages/datapane/processors/processors.py:107, in ConvertXML.convert_xml(self)
104 def convert_xml(self) -> ElementT:
105 # create initial state
106 builder_state = XMLBuilder(store=self.s.store)
--> 107 self.s.blocks.accept(builder_state)
108 return builder_state.get_root(self.fragment)
File /opt/conda/lib/python3.9/site-packages/datapane/blocks/base.py:100, in BaseBlock.accept(self, visitor)
99 def accept(self, visitor: VV) -> VV:
--> 100 visitor.visit(self)
101 return visitor
File /opt/conda/lib/python3.9/site-packages/multimethod/__init__.py:315, in multimethod.__call__(self, *args, **kwargs)
313 func = self[tuple(func(arg) for func, arg in zip(self.type_checkers, args))]
314 try:
--> 315 return func(*args, **kwargs)
316 except TypeError as ex:
317 raise DispatchError(f"Function {func.__code__}") from ex
File /opt/conda/lib/python3.9/site-packages/datapane/view/xml_visitor.py:88, in XMLBuilder.visit(self, b)
86 @multimethod
87 def visit(self, b: Blocks) -> XMLBuilder:
---> 88 sub_elements = self._visit_subnodes(b)
90 # Blocks are converted to Group internally
91 element = E.Group(*sub_elements, columns="1", valign="top")
File /opt/conda/lib/python3.9/site-packages/datapane/view/xml_visitor.py:73, in XMLBuilder._visit_subnodes(self, b)
71 cur_elements = self.elements
72 self.elements = []
---> 73 b.traverse(self) # visit subnodes
74 res = self.elements
75 self.elements = cur_elements
File /opt/conda/lib/python3.9/site-packages/datapane/blocks/layout.py:70, in ContainerBlock.traverse(self, visitor)
68 def traverse(self, visitor: VV) -> VV:
69 # perform a depth-first traversal of the contained blocks
---> 70 return reduce(lambda _visitor, block: block.accept(_visitor), self.blocks, visitor)
File /opt/conda/lib/python3.9/site-packages/datapane/blocks/layout.py:70, in ContainerBlock.traverse.<locals>.<lambda>(_visitor, block)
68 def traverse(self, visitor: VV) -> VV:
69 # perform a depth-first traversal of the contained blocks
---> 70 return reduce(lambda _visitor, block: block.accept(_visitor), self.blocks, visitor)
File /opt/conda/lib/python3.9/site-packages/datapane/blocks/base.py:100, in BaseBlock.accept(self, visitor)
99 def accept(self, visitor: VV) -> VV:
--> 100 visitor.visit(self)
101 return visitor
File /opt/conda/lib/python3.9/site-packages/multimethod/__init__.py:315, in multimethod.__call__(self, *args, **kwargs)
313 func = self[tuple(func(arg) for func, arg in zip(self.type_checkers, args))]
314 try:
--> 315 return func(*args, **kwargs)
316 except TypeError as ex:
317 raise DispatchError(f"Function {func.__code__}") from ex
File /opt/conda/lib/python3.9/site-packages/datapane/view/xml_visitor.py:127, in XMLBuilder.visit(self, b)
124 @multimethod
125 def visit(self, b: AssetBlock):
126 """Main XMl creation method - visitor method"""
--> 127 fe = self._add_asset_to_store(b)
129 _E = getattr(E, b._tag)
131 e: etree._Element = _E(
132 type=fe.mime,
133 # size=conv_attrib(fe.size),
(...)
137 src=f"ref://{fe.hash}",
138 )
File /opt/conda/lib/python3.9/site-packages/datapane/view/xml_visitor.py:164, in XMLBuilder._add_asset_to_store(self, b)
162 meta: AssetMeta = writer.get_meta(b.data)
163 fe = self.store.get_file(meta.ext, meta.mime)
--> 164 writer.write_file(b.data, fe.file)
165 self.store.add_file(fe)
166 except DispatchError:
File /opt/conda/lib/python3.9/site-packages/multimethod/__init__.py:315, in multimethod.__call__(self, *args, **kwargs)
313 func = self[tuple(func(arg) for func, arg in zip(self.type_checkers, args))]
314 try:
--> 315 return func(*args, **kwargs)
316 except TypeError as ex:
317 raise DispatchError(f"Function {func.__code__}") from ex
File /opt/conda/lib/python3.9/site-packages/datapane/view/asset_writers.py:87, in DataTableWriter.write_file(self, x, f)
85 raise DPClientError("Empty DataFrame provided")
86 # process_df called in Arrow.save_file
---> 87 ArrowFormat.save_file(f, df)
File /opt/conda/lib/python3.9/site-packages/datapane/common/datafiles.py:63, in ArrowFormat.save_file(fn, df)
61 df = process_df(df)
62 # NOTE - can pass expected schema and columns for output df here
---> 63 table: pa.Table = pa.Table.from_pandas(df, preserve_index=False)
64 write_table(table, fn)
File /opt/conda/lib/python3.9/site-packages/pyarrow/table.pxi:1553, in pyarrow.lib.Table.from_pandas()
ValueError: too many values to unpack (expected 2)
!pip install datapane
pip output
Requirement already satisfied: pyngrok<6.0.0,>=5.2.1 in /opt/conda/lib/python3.9/site-packages (from datapane) (5.2.1)
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Requirement already satisfied: furl<3.0.0,>=2.0.0 in /opt/conda/lib/python3.9/site-packages (from datapane) (2.1.3)
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Requirement already satisfied: pandocfilters>=1.4.1 in /opt/conda/lib/python3.9/site-packages (from nbconvert>=5.6.1->datapane) (1.5.0)
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Requirement already satisfied: fastjsonschema in /opt/conda/lib/python3.9/site-packages (from nbformat>=5.1->nbconvert>=5.6.1->datapane) (2.16.3)
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Requirement already satisfied: matplotlib-inline>=0.1 in /opt/conda/lib/python3.9/site-packages (from ipykernel->ipynbname<2022.0.0,>=2021.3.2->datapane) (0.1.6)
Requirement already satisfied: psutil in /opt/conda/lib/python3.9/site-packages (from ipykernel->ipynbname<2022.0.0,>=2021.3.2->datapane) (5.9.4)
Requirement already satisfied: debugpy>=1.6.5 in /opt/conda/lib/python3.9/site-packages (from ipykernel->ipynbname<2022.0.0,>=2021.3.2->datapane) (1.6.6)
Requirement already satisfied: comm>=0.1.1 in /opt/conda/lib/python3.9/site-packages (from ipykernel->ipynbname<2022.0.0,>=2021.3.2->datapane) (0.1.2)
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Requirement already satisfied: prompt-toolkit!=3.0.37,<3.1.0,>=3.0.30 in /opt/conda/lib/python3.9/site-packages (from ipython>=7.23.1->ipykernel->ipynbname<2022.0.0,>=2021.3.2->datapane) (3.0.38)
Requirement already satisfied: pickleshare in /opt/conda/lib/python3.9/site-packages (from ipython>=7.23.1->ipykernel->ipynbname<2022.0.0,>=2021.3.2->datapane) (0.7.5)
Requirement already satisfied: stack-data in /opt/conda/lib/python3.9/site-packages (from ipython>=7.23.1->ipykernel->ipynbname<2022.0.0,>=2021.3.2->datapane) (0.6.2)
Requirement already satisfied: backcall in /opt/conda/lib/python3.9/site-packages (from ipython>=7.23.1->ipykernel->ipynbname<2022.0.0,>=2021.3.2->datapane) (0.2.0)
Requirement already satisfied: pexpect>4.3 in /opt/conda/lib/python3.9/site-packages (from ipython>=7.23.1->ipykernel->ipynbname<2022.0.0,>=2021.3.2->datapane) (4.8.0)
Requirement already satisfied: decorator in /opt/conda/lib/python3.9/site-packages (from ipython>=7.23.1->ipykernel->ipynbname<2022.0.0,>=2021.3.2->datapane) (5.1.1)
Requirement already satisfied: jedi>=0.16 in /opt/conda/lib/python3.9/site-packages (from ipython>=7.23.1->ipykernel->ipynbname<2022.0.0,>=2021.3.2->datapane) (0.18.2)
Requirement already satisfied: parso<0.9.0,>=0.8.0 in /opt/conda/lib/python3.9/site-packages (from jedi>=0.16->ipython>=7.23.1->ipykernel->ipynbname<2022.0.0,>=2021.3.2->datapane) (0.8.3)
Requirement already satisfied: ptyprocess>=0.5 in /opt/conda/lib/python3.9/site-packages (from pexpect>4.3->ipython>=7.23.1->ipykernel->ipynbname<2022.0.0,>=2021.3.2->datapane) (0.7.0)
Requirement already satisfied: wcwidth in /opt/conda/lib/python3.9/site-packages (from prompt-toolkit!=3.0.37,<3.1.0,>=3.0.30->ipython>=7.23.1->ipykernel->ipynbname<2022.0.0,>=2021.3.2->datapane) (0.2.6)
Requirement already satisfied: asttokens>=2.1.0 in /opt/conda/lib/python3.9/site-packages (from stack-data->ipython>=7.23.1->ipykernel->ipynbname<2022.0.0,>=2021.3.2->datapane) (2.2.1)
Requirement already satisfied: executing>=1.2.0 in /opt/conda/lib/python3.9/site-packages (from stack-data->ipython>=7.23.1->ipykernel->ipynbname<2022.0.0,>=2021.3.2->datapane) (1.2.0)
Requirement already satisfied: pure-eval in /opt/conda/lib/python3.9/site-packages (from stack-data->ipython>=7.23.1->ipykernel->ipynbname<2022.0.0,>=2021.3.2->datapane) (0.2.2)
Installing collected packages: datapane
Successfully installed datapane-0.16.1
Hi @jperez-dx, thank you for raising this! A few questions to help us understand the issue:
- Are you on the latest version of Datapane (
0.16.1)? - Can you share more information about the DataFrame
pandas_df? I've seen a similar error when passing in a Series or MultiIndex. - Does the following code produce the same error?
import datapane as dp
from vega_datasets import data
dp.DataTable(data.iris())Hi @shahinrostami!
- Yes, I'm using
0.16.1. You can see the versions of all dependencies in the pip output I shared in the description - Sure! See below (not using MultiIndex or Series)
- Yes, getting the same error when running that snippet
Hi @shahinrostami!
- Yes, I'm using
0.16.1. You can see the versions of all dependencies in the pip output I shared in the description- Sure! See below (not using MultiIndex or Series)
- Yes, getting the same error when running that snippet
Thank you @jperez-dx - I'm trying to reproduce the error with these follow-ups. From the screenshot you've shared it looks like you're on Jupyter Notebook not Jupyter Lab, can you share the version?
(Help->About) for the version I'm after
Unable to reproduce on 6.4.12-04c46bf. Are you in a position to try Jupyter Lab?
Do you see the error if it's just assigned to a variable, i.e. block = dp.DataTable(pandas_df)
Hope we can solve this for you quickly!
Thanks @jperezr21. I'm going to ping the rest of the team on this as I'm not able to reproduce it. In the meantime, if you have any ideas, e.g. some unique environment setup, please let us know.
Closing as can't reproduce - please reopen if you still hit the issue