Comments (5)
Yup, I think it's worthwhile - I can see that there are plenty of cases where you don't want to materialise GBs of data into a local frame just to run describe()
on it 🤔
from polars.
Fair enough - that seems like a valid use case. I'll re-open to see what others have to say.
from polars.
"looks pretty lazy!" sounds like an accurate description to me, can we just return that?
from polars.
describe
is meant as a way to get some quick insights in your data. It could work on a LazyFrame, but then you would have to call collect()
right after anyway, otherwise you're not much wiser. It just doesn't make sense as a lazy method.
Just collect
first and then use describe
.
from polars.
describe
is meant as a way to get some quick insights in your data. It could work on a LazyFrame, but then you would have to callcollect()
right after anyway, otherwise you're not much wiser. It just doesn't make sense as a lazy method.Just
collect
first and then usedescribe
.
But what if the Dataframe is so big that it wouldn't fit in memory?
from polars.
Related Issues (20)
- Incorrect sorted flag in left join when left table is read from file and right table has duplicate keys HOT 1
- polars run cross join sql slow HOT 3
- pl.when not working with string dtypes HOT 1
- Series broadcasting implementation between `with_columns` and `select`
- List(Categorical/Enum).contains(Categorical/Enum) is broken since 0.20.2 HOT 1
- perf: sorted outer join
- Boolean "true" and "false" values for type inference or automatic conversion (a la pyarrow) HOT 1
- Support arthimetic on Python objects HOT 1
- Python/S3 connection pooling HOT 7
- `OverflowError` when running `DataFrame.describe()` and column contains `datetime.max` value
- `is_in` errors for `String` series in `Categorical`/`Enum` series
- Issue with SQLContext for an inner join on two fields with the same name HOT 1
- Typo: cartisian -> cartesian
- Add return_dtype in `Expr.cut` HOT 1
- No `null_strategy` in `sum_horizontal` anymore HOT 1
- to_pandas() drops categories of length-0 Enum Series HOT 1
- Add SAS database read support (.sas7bdat) as pl.read_sas(filepath:str, **kwargs) HOT 2
- Large performance drop for string equality between 0.20.5 and 0.20.6 HOT 4
- Error on writing MutableDictionaryArray with u16 keys HOT 4
- Can't concatenate lots of dataframes with option how="align" HOT 1
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 polars.