Comments (3)
wesm
commented on May 21, 2024
In principle I agree with you that fill should be renamed to something like fillna or fill_missing since a portion of the NumPy API relies on the fill function. Unfortunately changing it would definitely cause downstream breakage in the next release-- as far as API changes go it's not too terrible to go through and fix client code but it sucks.
from pandas.
wesm
commented on May 21, 2024
I took a look at fixing this behavior-- I'm going to remove the overridden fill() function from Series, having created fillna functions in all of the classes. There actually is a bug in NumPy which has been fixed about a month ago-- so starting with NumPy 1.6 this can be fixed:
http://projects.scipy.org/numpy/ticket/929
from pandas.
wesm
commented on May 21, 2024
{Series, DataFrame, WidePanel}.fill have been removed. So np.fix should work on NumPy >= 1.6 (does not work with 1.5.1, though)
from pandas.
Related Issues (20)
- BUG: `All arrays must be of the same length` fatal error using `pd.read_json()` HOT 5
- REGR?: ExponentialMovingWindow.aggregate raises on main with np.mean
- BUG: Series constructor loses date unit of Timestamps HOT 2
- BUG: .loc with DateTimeIndex allows day first string for stop in slice, but not start
- ENH: read_parquet as a class method HOT 1
- BUG: combine_first raise FutureWarning surprisingly HOT 4
- ENH: An option to stop appending .0 to strings if null is present in json HOT 1
- BUG: .loc Indexing with pyarrow backed DatetimeIndex does not allow string comparison HOT 4
- ENH: Downsampling pyarrow backed DatetimeIndex should potentially return date32 instead of timestamp HOT 4
- What's the design decision regarding whether operations can return another backend's object? HOT 2
- QST: Why is subtracting pandas.timedelta from pandas.date not vectorized? HOT 7
- BUG: loc __setitem__ uses empty byte values for column unknowns when both rows and columns are added/DataFrame is enlarged
- BUG: loc __setitem__ has incorrect behavior when assigned a DataFrame and new columns and duplicated columns are added.
- ENH: GroupBy.transform should accept similar arguments to GroupBy.agg HOT 5
- BUG: Using `Series.diff()` on a Series with Periods on Windows shows an overflow error HOT 1
- BUG: Series.str.split broken with pyarrow strings and regex argument HOT 3
- DOC: Style extensibility doc links to invalid ecosystem page
- BUG: get_level_values() in a MultiIndex returns DatetimeIndex without frequency even though the index level has a frequency (and unique values). HOT 4
- BUG: incorrect assumption of full-name month format when "May" is initial month HOT 20
- BUG: `np.where` called with `ps.Series` returns `np.array` instead of `pd.Series` HOT 5
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.