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Automatic data visualization in atom with the nteract data-explorer

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Data Explorer

Interactively explore your data directly in atom with hydrogen!

The nteract data-explorer provides automatic data visualization, so you can get a feel for your data quickly and with minimal code!

nteract data explorer in hydrogen

🚧 This is a work in progress. Please open issues and pull requests!

⚠️ As this package has some open issues with styling, the following atom themes are recommended for now:

  • 🎨 Atom One Light syntax theme
  • 🎨 Atom One Light UI theme

How to try it out:

Atom packages:

  • Install both hydrogen and the data-explorer package in atom, or in the cli:
    apm install hydrogen data-explorer

Make sure you have installed:

Then, just start a python kernel in hydrogen and run the following code:

import pandas as pd

# Enable the table_schema option in pandas, 
# data-explorer makes this snippet available with the `dx` prefix:
pd.options.display.html.table_schema = True
pd.options.display.max_rows = None

# (Your dataframe here)
iris_filename = './iris.csv'
df1 = pd.read_csv(iris_filename)

df1

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