Description
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Note: Please read this guide detailing how to provide the necessary information for us to reproduce your bug.
Code Sample, a copy-pastable example
import numpy as np
import pandas as pd
import pandas.io.formats.format as fmt
x = pd.date_range('2018-01-01', periods=5, freq='H').to_numpy()
x = np.tile(x, (3, 1))
formatter = fmt.Datetime64Formatter(x)
result = formatter.get_result()
Problem description
When using a Pandas ExtensionArray that has 2D values of Datetime64 dtype, Pandas errors on formatting the values with the following:
File "/ib/python3.8/site-packages/pandas/io/formats/printing.py", line 73, in <listcomp>
return [x.rjust(max_len) for x in texts]
AttributeError: 'list' object has no attribute 'rjust'
The above is also true when using the Datetime64Formatter
directly with values of ndim > 1.
Expected Output
Formatting that takes into account dimensionality:
[' [2018-01-01 00:00:00, 2018-01-01 01:00:00, 201...', ' [2018-01-01 05:00:00, 2018-01-01 06:00:00, 201...']
Output of pd.show_versions()
INSTALLED VERSIONS
commit : db08276
python : 3.8.6.final.0
python-bits : 64
OS : Linux
OS-release : 5.4.0-54-generic
Version : #60-Ubuntu SMP Fri Nov 6 10:37:59 UTC 2020
machine : x86_64
processor : x86_64
byteorder : little
LC_ALL : None
LANG : en_US.UTF-8
LOCALE : en_US.UTF-8
pandas : 1.1.3
numpy : 1.19.1
pytz : 2020.1
dateutil : 2.8.1
pip : 20.2.3
setuptools : 49.6.0.post20201009
Cython : None
pytest : 6.1.1
hypothesis : None
sphinx : None
blosc : None
feather : None
xlsxwriter : None
lxml.etree : None
html5lib : None
pymysql : None
psycopg2 : None
jinja2 : 2.11.2
IPython : 7.18.1
pandas_datareader: None
bs4 : None
bottleneck : None
fsspec : None
fastparquet : None
gcsfs : None
matplotlib : 3.3.2
numexpr : None
odfpy : None
openpyxl : None
pandas_gbq : None
pyarrow : 1.0.1
pytables : None
pyxlsb : None
s3fs : None
scipy : 1.5.2
sqlalchemy : None
tables : None
tabulate : None
xarray : None
xlrd : None
xlwt : None
numba : None