Comments (3)
Was this ever the case? Admittedly I've never done something like this so I just don't know. Been a user since 0.23, I can't think of a time I've used a function like this. Docs are unclear if its special cased or not.
from pandas.
Agreed this should be added to the documentation in the Notes
section of apply. This is to allow certain groups to be filtered.
df = pd.DataFrame({"a": [1, 2, 3], "b": [4, 5, 6]})
gb = df.groupby("a")
def foo(x):
if x.iloc[0, 0] == 5:
return None
else:
return x**2
print(gb.apply(foo, include_groups=False))
# b
# a
# 1 0 16
# 3 2 36
Still - in the OP case we should return a DataFrame with the same columns and dtypes as the input. So labeling this both doc and bug.
from pandas.
take
from pandas.
Related Issues (20)
- BUG: Parameter converters when using the read function. HOT 2
- BUG: read_parquet wrongly returns empty index if asked to read empty column list HOT 3
- ENH/BUG: pd.date_range() still defaults to nanosecond resolution HOT 1
- ENH: New Name for "numpy_nullable" dtype_backend HOT 17
- BUG: `DatetimeIndex.union` gives wrong result with "datetime64[us]"
- BUILD: Pandas 1.2.5 build no longer works HOT 14
- ENH: .isin() method should use __contains__ rather than __iter__ for user-defined classes to determine presence. HOT 6
- BUG: `pd.read_excel` gives uninformative error for protected files HOT 2
- BUG: eval fails to process expression when one column name starts with a digit or some special characters HOT 1
- BUG: pandas dataframe column definition or mapping does not cater for upper case values. HOT 2
- BUG: HOT 2
- BUG: Limit param of fillna method does not work for pd.Int64Dtype() HOT 2
- BUG: Failed to import pandas <2.1.0 witn numpy >=2.0.0 HOT 5
- BUG: `Series.clip` does not work with scalar numpy arrays. HOT 5
- BUG: `DataFrame.to_numpy()` unnecessarily upcasts to `object` dtype. HOT 1
- ENH: Python 3.13 free-threading support HOT 4
- BUG: Pandas does not validate some parameters properly when reading CSVs and it causes segmentation faults
- BUG:
- BUG: `DataFrame.eval` fails with TypeError with multiline expr but works when `eval` line by line
- BUG: `DataFrame.sparse.from_spmatrix` hard codes an invalid ``fill_value`` for certain subtypes
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from pandas.