Skip to main content

Utility to save data to cvs as an easy (and very basic) to read and use alternative to tensorboard

Project description

DataSaver

Utility to save data to cvs as an easy (and very basic) to read and use alternative to tensorboard.

Usage

from dataSaver import DataSaver

dataSaver = DataSaver('./somedir/filename/')

# creates a file in csv format, where the keys of the dictionary are the column names and the values of the first row are the values associated with each key  
dataSaver.add({
    'ephoch': 10,
    , 'iter': 200
    , 'learningRate': 0.0001,
    , 'loss': 10324
}

# The first call fixes the columns and only the keys that where present the first time add was called will be added
dataSaver.add({
    'ephoch': 10,
    , 'bananass': 10324
    , 'iter': 200
    , 'learningRate': 0.0001,
    , 'loss': 10324
    , 'bananass': 10324

})

# collect all data in an internal array dataSaver.cacheArray
dataSaver.cache({....})

# Save the data collected by cache to file and empty cache
dataSaver.dumpCache()

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

dataSaver-0.0.3.tar.gz (2.1 kB view hashes)

Uploaded Source

Built Distribution

dataSaver-0.0.3-py3-none-any.whl (2.4 kB view hashes)

Uploaded Python 3

Supported by

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