Code Sample, a copy-pastable example if possible
class foo(dict):
def __init__(self, iterable=None, **kwargs):
if iterable is None:
iterable = ()
super(foo, self).__init__(iterable)
self.update(kwargs)
def __repr__(self):
return ",".join(self.keys())
def __str__(self):
return ",".join(self.keys())
f = foo({'alpha' : 'b',
'beta' : 'c'})
import pandas as pd
pd.DataFrame(data=[['A', 1, f]], columns=['D', 'F', 'G'])
Problem description
For a given series with a custom object, I want to control the content when displayed via print or displaying on ipython notebooks. The object foo is a simple class that have the __str__ and __repr__ overwritten, but still displays the object's dictionary content, not the view I want to show the end users. How do I control that?
Expected Output
alpha,beta
what I get is:
{'alpha': 'b', 'beta': 'c'}
Output of pd.show_versions()
Details
[paste the output of pd.show_versions() here below this line]
INSTALLED VERSIONS
commit: None
python: 3.5.4.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 94 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
pandas: 0.21.1
pytest: 3.3.1
pip: 9.0.1
setuptools: 38.2.4
Cython: None
numpy: 1.11.2
scipy: 0.18.1
pyarrow: None
xarray: None
IPython: 5.3.0
sphinx: 1.6.3
patsy: 0.4.1
dateutil: 2.6.1
pytz: 2017.3
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: 1.5.3
openpyxl: None
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: None
lxml: None
bs4: 4.6.0
html5lib: 0.999
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.9.6
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None
Code Sample, a copy-pastable example if possible
Problem description
For a given series with a custom object, I want to control the content when displayed via print or displaying on ipython notebooks. The object
foois a simple class that have the__str__and__repr__overwritten, but still displays the object's dictionary content, not the view I want to show the end users. How do I control that?Expected Output
alpha,betawhat I get is:
{'alpha': 'b', 'beta': 'c'}Output of
pd.show_versions()Details
[paste the output of
pd.show_versions()here below this line]INSTALLED VERSIONS
commit: None
python: 3.5.4.final.0
python-bits: 64
OS: Windows
OS-release: 10
machine: AMD64
processor: Intel64 Family 6 Model 94 Stepping 3, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
pandas: 0.21.1
pytest: 3.3.1
pip: 9.0.1
setuptools: 38.2.4
Cython: None
numpy: 1.11.2
scipy: 0.18.1
pyarrow: None
xarray: None
IPython: 5.3.0
sphinx: 1.6.3
patsy: 0.4.1
dateutil: 2.6.1
pytz: 2017.3
blosc: None
bottleneck: None
tables: None
numexpr: None
feather: None
matplotlib: 1.5.3
openpyxl: None
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: None
lxml: None
bs4: 4.6.0
html5lib: 0.999
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.9.6
s3fs: None
fastparquet: None
pandas_gbq: None
pandas_datareader: None