pyorc | Python module for Apache ORC file format | Machine Learning library

by noirello Python Version: 0.9.0 License: Apache-2.0

X-Ray Key Features Code Snippets(5)Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | pyorc Summary

pyorc is a Python library typically used in Artificial Intelligence, Machine Learning applications. pyorc has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pyorc' or download it from GitHub, PyPI.

Python module for Apache ORC file format

Support

Quality

Security

License

Reuse

Support

pyorc has a low active ecosystem.

It has 66 star(s) with 20 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 4 open issues and 45 have been closed. On average issues are closed in 98 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pyorc is 0.9.0

Quality

pyorc has 0 bugs and 0 code smells.

Security

pyorc has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pyorc code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pyorc is licensed under the Apache-2.0 License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

pyorc releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

pyorc saves you 969 person hours of effort in developing the same functionality from scratch.

It has 2207 lines of code, 159 functions and 17 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed pyorc and discovered the below as its top functions. This is intended to give you an instant insight into pyorc implemented functionality, and help decide if they suit your requirements.

Builds a cmake build .
Convert a value to an integer .
Return statistics .
Get object attribute .
Get the name of the writer .
Set the attributes .
Extract the version info .
Setup the extensions .
Set user metadata .
Find the column id associated to a column .

Get all kandi verified functions for this library.

pyorc Key Features

No Key Features are available at this moment for pyorc.

pyorc Examples and Code Snippets

ERROR: Could not find a version that satisfies the requirement vineyard (from versions: none)

Python

Lines of Code : 2

License : Strong Copyleft (CC BY-SA 4.0)

Copy

pip3 install C://vineyard_io-0.2.7-py3-none-any.wh

Azure Blob Storage downloading ORC files in Python

Python

Lines of Code : 13

License : Strong Copyleft (CC BY-SA 4.0)

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from azure.storage.blob import ContainerClient, BlobClient
from io import BytesIO
import pyorc

containerClient = ContainerClient.from_connection_string(azureConnString, container_name=azureContainer)
blobList = containerClient.list_blobs(

Azure Blob Storage downloading ORC files in Python

Python

Lines of Code : 17

License : Strong Copyleft (CC BY-SA 4.0)

Copy

import pyorc
import io

from azure.storage.blob import BlobClient

key = 'account key'

blob_client = BlobClient(account_url='https://.blob.core.windows.net',
                         container_name='test',
                         blob_na

Failed to install pyorc on alpine docker container

Python

Lines of Code : 26

License : Strong Copyleft (CC BY-SA 4.0)

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# Dockerfile

FROM python:3.7.3
WORKDIR /app
RUN pip install pyorc -t .

FROM python:3.7.3-alpine
WORKDIR /app
RUN apk add --no-cache --virtual .build-deps g++ musl-dev gcompat
COPY --from=0 /app .

$ docker build -

Read ORC file from S3 to Pandas

Python

Lines of Code : 5

License : Strong Copyleft (CC BY-SA 4.0)

Copy

import io

orc_bytes = io.BytesIO(data['Body'].read())
orc_data = pyorc.Reader(orc_bytes)

Community Discussions

Trending Discussions on pyorc

Azure Blob Storage downloading ORC files in Python

Pandas DataFrame.itertuples() auto casts objects dtypes to date and time dtypes

Failed to install pyorc on alpine docker container

Read ORC file from S3 to Pandas

QUESTION

Azure Blob Storage downloading ORC files in Python

Asked 2021-Mar-23 at 23:51

It is my first time using Azure Storage and ORC.

Here is what I have learned so far, I able to download a ORC blob storage file from Azure and save to disk. Once download complete, I can iterate ORC file using pyorc library in Python. They are mostly smaller files and can easily fit into memory. My question is, instead of writing to a file, I would like to keep the blob in memory and iterate and can avoid writing to a disk. I can download the blob into stream but I am not sure how to use pyorc with blob stream or I cannot locate the help for it.

I appreciate any help and best practice for azure storage download.

...

ANSWER

Answered 2021-Mar-22 at 02:06

Regarding the issue, please refer to the following steps

Source https://stackoverflow.com/questions/66724177

QUESTION

Pandas DataFrame.itertuples() auto casts objects dtypes to date and time dtypes

Asked 2021-Feb-11 at 11:29

I'm using Dask and PyOrc to write Data from database tables in ORC Files. In order to specify correct dtypes, i'm using the meta parameter read_sql_table. My version of Pandas is 1.2.1

And here is an extract of my code :

...

ANSWER

Answered 2021-Feb-11 at 11:29

In your first output COL10 and COL11 are reported as object dtype, which suggests that they might be originally cast as datetime objects in dask_meta (at least for some of the rows). As a way out of this you could explicitly set these columns as String (the capitalized version is referring to the new dtype) in dask_meta.

Source https://stackoverflow.com/questions/66153691

QUESTION

Failed to install pyorc on alpine docker container

Asked 2020-Jul-24 at 02:25

Getting compilation error - which is dependent on ORC binaries.

...

ANSWER

Answered 2020-Jun-26 at 15:29

I used Docker multi-stage builds:

Source https://stackoverflow.com/questions/62597014

QUESTION

Read ORC file from S3 to Pandas

Asked 2020-Jun-03 at 12:59

I'm trying to read an orc file from s3 into a Pandas dataframe. In my version of pandas there is no pd.read_orc(...).

I tried to do this:

...

ANSWER

Answered 2020-Jun-02 at 20:35

Try wrapping the S3 data in an io.BytesIO:

Source https://stackoverflow.com/questions/62160868

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install pyorc

You can install using 'pip install pyorc' or download it from GitHub, PyPI.
You can use pyorc like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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