DataFrame.join doesn't accept Series as other #6775
Description
What happened:
dataframe.join(series) throws ValueError: other must be DataFrame.
What you expected to happen:
The document states join accepts Series object as other. It seems is_dataframe_like, which called by join, checks if an object has merge attribute, but it doesn't work for Series.
Lines 1116 to 1123 in 45fd909
Minimal Complete Verifiable Example:
>>> import pandas as pd
>>> import dask.dataframe as dd
>>> df = dd.from_pandas(pd.DataFrame(range(10), columns=['a']), npartitions=1)
>>> df
Dask DataFrame Structure:
a
npartitions=1
0 int64
9 ...
Dask Name: from_pandas, 1 tasks
>>> df['a']
Dask Series Structure:
npartitions=1
0 int64
9 ...
Name: a, dtype: int64
Dask Name: getitem, 2 tasks
>>> df.join(df['a'])
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/user/.pyenv/versions/3.8.1/lib/python3.8/site-packages/dask/dataframe/core.py", line 4134, in join
raise ValueError("other must be DataFrame")
ValueError: other must be DataFrameAnything else we need to know?:
n/a
Environment:
- Dask version: 2.30.0
- Python version: 3.8.1
- Operating System: Ubuntu 20.04
- Install method (conda, pip, source): pip