How to show full column content in a Spark Dataframe?

℡╲_俬逩灬. 提交于 2019-11-28 15:20:05
TomTom101

results.show(20, false) will not truncate. Check the source

Narendra Parmar

If you put results.show(false) , results will not be truncated

Below code would help to view all rows without truncation in each column

df.show(df.count(), False)

The other solutions are good. If these are your goals:

  1. No truncation of columns,
  2. No loss of rows,
  3. Fast and
  4. Efficient

These two lines are useful ...

    df.persist
    df.show(df.count, false) // in Scala or 'False' in Python

By persisting, the 2 executor actions, count and show, are faster & more efficient when using persist or cache to maintain the interim underlying dataframe structure within the executors. See more about persist and cache.

Deepak Babu P R

results.show(20, False) or results.show(20, false) depending on whether you are running it on Java/Scala/Python

Chetan Tamballa

results.show(false) will show you the full column content.

Show method by default limit to 20, and adding a number before false will show more rows.

try this command :

df.show(df.count())

Within Databricks you can visualize the dataframe in a tabular format. With the command:

display(results)

It will look like

SKA

results.show(20,false) did the trick for me in Scala.

I use the plugin Chrome extension works pretty well:

[https://userstyles.org/styles/157357/jupyter-notebook-wide][1]

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