Skip to main content

Group of utilities for Sabia

Project description

Sabia Utils

This is a collection of utilities for Sabia.

Concat Module

This module is used to concatenate files.

Concatenate all files from a path

  • Returns a concatenated dataframe from all files in a path.
  • Can save the concatenated dataframe to a file.
from sabia_utils import concat

concat.concatenate_all_from_path(
    path='path\\to\\files',
    output_file='output\\file\\path', # optional
    fine_name='file_name'           # optional 
)

Concatenate some files from a path

  • Returns a concatenated dataframe from some files in a path.
  • Can save the concatenated dataframe to a file.
from sabia_utils import concat

concat.concatenate_files(
    path='path\\to\\files',
    files=['file1', 'file2'],
    output_file='output\\file\\path', # optional
    fine_name='file_name'           # optional 
)

Copy files from a path to another

  • Verify if the files exist in the path before copy.
from sabia_utils import group

group.copy_new_files(
    PATH_IN='path\\to\\files1',
    PATH_OUT='path\\to\\files2'
)

Group Module

This module is used to group files.

Process files in both paths

  • Verify if the files exist in the path before process.
from sabia_utils import group

group.process_existent_files(
    PATH_IN='path\\to\\files1',
    PATH_OUT='path\\to\\files2'
)

Process all files

  • apply the function of copy and process files between the paths.
from sabia_utils import group

group.process_all_files(
    PATH_IN='path\\to\\files1',
    PATH_OUT='path\\to\\files2'
)

Pre_process Module

This module is used to pre_process parquet files.

Process all parquet files

  • Apply this function on a folder containing parquet files to process them.
from sabia_utils import pre_process

pre_process.pre_process_parquets(
    folder_path='path\\to\\folder',
    colomun_to_pre_process='column_name_to_be_processed',
    pre_processed_column='processed_column_name',
    processor='class_related_to_the_name_of_the_processed_column' #optional
)

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

sabia-utils-0.1.4.tar.gz (6.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

sabia_utils-0.1.4-py3-none-any.whl (8.4 kB view details)

Uploaded Python 3

File details

Details for the file sabia-utils-0.1.4.tar.gz.

File metadata

  • Download URL: sabia-utils-0.1.4.tar.gz
  • Upload date:
  • Size: 6.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.10

File hashes

Hashes for sabia-utils-0.1.4.tar.gz
Algorithm Hash digest
SHA256 f4ea0210efcb7b5323adad5377cfcbd2601bf034be0b5a4096b8ca3cf06e6057
MD5 7a9255ef014a9732b3834bc597118634
BLAKE2b-256 d675c64b4d4ed9f3d381e407e6866c2d9c2c5b99b4b0009760fffbc6d8b25c37

See more details on using hashes here.

File details

Details for the file sabia_utils-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: sabia_utils-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 8.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.10.10

File hashes

Hashes for sabia_utils-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 f8b8aadf4da7a3177452dc03fdaa1b90408d4732ddfe91a71037969cc6099ea3
MD5 3e7f87c7040b25fb29796a99090e50bd
BLAKE2b-256 f1768e62ca0d7d73e536ff183ff6ce8506c9acbcb2994f6b175d20f646dbfb89

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page