ynqa pandavro issues - Githubissues

ynqa / pandavro

Apache Avro <-> pandas DataFrame

MIT License

134 stars 32 forks source link

issues

Newest

Newest Most commented Recently updated Oldest Least commented Least recently updated

Failed writing a dataframe to '.avro' file

#58 Anna050689 opened 1 month ago
0
Support numpy 2.0 and pandas 2.0

#57 aspeddro opened 2 months ago
0
Add support for numpy 2.0

#56 corentin-regent opened 4 months ago
1
Unable to infer timestamp type

#55 numersoz opened 7 months ago
0
Make a new release to allow versions of fastavro>1.6.0

#54 ghost opened 11 months ago
1
feat: support python 3.12

#53 streitl closed 11 months ago
1
Add Python 3.12 support

#52 streitl closed 11 months ago
0
fix(tests): tests only on fastavro versions that have wheels for python 3.11

#51 FloChehab closed 1 year ago
0
Support python 3.11 & update test / CI

#50 FloChehab closed 1 year ago
6
Update Fastavro to 1.7.3

#49 xin-luo-dragon closed 1 year ago
0
bump up the version to 1.7.2

#48 ynqa closed 1 year ago
0
use github action instead of travis

#47 ynqa closed 1 year ago
0
add support of snappy codec (ValueError: snappy codec is supported but you need to install python-snappy)

#46 YuriyGavrilov opened 1 year ago
0
less memory usage when writing a dataframe

#45 slemouzy closed 7 months ago
5
Add compatibility with Python 3.11

#44 jbvaningen closed 1 year ago
1
decimal logical type : TypeError: can only concatenate str (not "int") to str

#43 balaby25 opened 1 year ago
1
Loosen the pinned fastavro dependency

#42 deleted closed 1 year ago
2
fix read_avro kwargs + cleanup tests

#41 marctorsoc closed 1 year ago
3
from_records() got an unexpected keyword argument 'na_dtypes'

#40 JeroenDedimo opened 2 years ago
2
Does the fastavro dependency version need to be pinned?

#39 deleted closed 1 year ago
2
pypi: use api token instead of basic auth

#38 ynqa closed 2 years ago
0
bump up the version to 1.7.1

#37 ynqa closed 2 years ago
0
Auto-deploy on merge to master?

#36 marctorsoc opened 2 years ago
0
read_avro: optimized support for columns argument

#35 ruben-trdj closed 2 years ago
2
add pathlib support

#34 marctorsoc closed 2 years ago
2
remove pandas upperbound

#33 marctorsoc closed 2 years ago
3
bump up the version to 1.7.0

#32 ynqa closed 2 years ago
0
Follow up: Feature/add pandas1 dtypes

#31 ynqa closed 2 years ago
0
Support bytes

#30 marctorsoc closed 2 years ago
1
Update python and pkgs

#29 ynqa closed 2 years ago
0
Tests failing in master

#28 marctorsoc closed 2 years ago
6
Support for bytes

#27 marcglobality closed 2 years ago
4
allow for process_record() while reading in avro

#26 gityow opened 3 years ago
0
bump up the version to 1.6.0

#25 ynqa closed 3 years ago
0
Adding 'Record' and 'Array' Complex Types to Schema Inference

#24 Geoiv closed 3 years ago
3
Include license file in source distribution

#23 synapticarbors closed 4 years ago
0
Feature/add pandas1 dtypes

#22 The-Fonz closed 2 years ago
7
Adding option for time data types to be encoded as milliseconds

#21 Geoiv closed 4 years ago
0
Datetime-like values errors

#20 grkhr opened 4 years ago
2
Pass keyword arguments to fastavro writer

#19 kristofarkas closed 4 years ago
2
fixes import

#18 lordgrenville closed 5 years ago
0
Release 1.5.x

#17 ynqa closed 5 years ago
1
Use tags for deploy

#16 ynqa closed 5 years ago
0
Add section to README that explains how pandavro infers schema

#15 The-Fonz closed 5 years ago
4
Latest pandas does not have DatetimeTZDtypeType

#14 The-Fonz closed 5 years ago
2
Feature/add support append file

#13 AlanTaranti closed 5 years ago
3
Fix incorrect type inference, Python compatibility issues, support compression

#12 dargueta closed 5 years ago
8
Infer datetime64 schema

#11 ynqa closed 5 years ago
0
Pandas kwargs

#10 dkaslovsky closed 5 years ago
1
Update 1.1.1 > 1.1.2

#9 ynqa closed 5 years ago
0