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Pandas

This integration lets you log pandas dataframes to Neptune.
Log pandas Dataframe
Follow these steps:
Create a run
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import neptune.new as neptune
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run = neptune.init(project='my_workspace/my_project')
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Create pandas DataFrame object
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import pandas as pd
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iris_df = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv',
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                      nrows=100)
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Log DataFrame
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run['data/iris-df'].upload(neptune.types.File.as_html(iris_df))
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Stop logging
Once you are done logging, you should stop tracking the run using the stop() method. This is needed only while logging from a notebook environment. While logging through a script, Neptune automatically stops tracking once the script has completed execution.
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run.stop()
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Explore the results in the Neptune
​See example run​

Last modified 10mo ago

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Contents

Log pandas Dataframe

Create pandas DataFrame object

Explore the results in the Neptune