Comments (6)
This is not much of a reproducible example, I'm afraid. Can you at least show the schema of the file. How was it made? Which column causes the issue?
from fastparquet.
This is the file that caused the error, you can try it.
from fastparquet.
This is the first time we have seen DELTA encoding (a parquet V2 feature) in a v1 data page. This should be fixable relatively easily, please stay tuned.
from fastparquet.
It would be useful if you could let us know the expected values of the "ts" column, as a test.
from fastparquet.
It would be useful if you could let us know the expected values of the "ts" column, as a test.
you can use pandas to parse the file and the result will be correct
from pandas import read_parquet
df = read_parquet(f)
df['ts'] = data['ts'].astype(str)
df['upload_ts'] = data['upload_ts'].astype(str)
print(df)
from fastparquet.
That makes sense :). I was wrong in my initial assertion, we do handle DELTA already, but only for 32bit types (int, normally), so need to extend to 64bit.
from fastparquet.
Related Issues (20)
- attrs persistance for Pandas HOT 1
- Nullable types for 1 row vs multiple rows HOT 3
- update_file_custom_metadata error when file has no properties.
- schema evolution when writing the row groups does not work HOT 4
- Bug loading parquet files with timezone information HOT 6
- PyArrow will become a required dependency with pandas 3.0
- Option to not close() after write() when writing to buffer HOT 3
- Support zoneinfo.ZoneInfo timezones
- Loading List of List of Strings leads to nans HOT 6
- Upcoming pandas (>2.2.0) raises "read-only" errors HOT 3
- Categorical dtype not preserved with fastparquet-write, pyarrow-read HOT 2
- Numpy 2: OverflowError with int96 HOT 4
- Fastparquet raises on import with numpy 2.0 rc HOT 5
- New release? HOT 4
- Issues with filtering when using to_pandas HOT 4
- No wheel file for fastparquet 2024.5.0 for Python 3.12 and Windows HOT 4
- BUG: reading datetimeindex with time zone gives wrong values (all "1970-01-01 01:00:00") HOT 2
- Support upcoming default pandas string dtype (pandas >= 3) HOT 6
- iter_row_groups raises KeyError when dots in column names and data is not primitive HOT 11
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 fastparquet.