snowflakedb / snowflakedb/snowpark-python

SNOW-650150: Add some indication to `DataFrame.show()` that it isn't all the results

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#447 3 comments 0 reactions 0 assignees View on GitHub

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feature
Dominant language
Python
Stars
341
Forks
155
Avg merge
4d 16h
Merged PRs (30d)
27

Description

What is the current behavior?

No indication that show is only printing top results, which could mislead users that aren't aware.

>>> df = session.range(1,12).to_df('col1') # create 11 element sequence
>>> df.show()
----------
|"COL1"  |
----------
|1       |
|2       |
|3       |
|4       |
|5       |
|6       |
|7       |
|8       |
|9       |
|10      |
----------
>>> df.show(n=11)
----------
|"COL1"  |
----------
|1       |
|2       |
|3       |
|4       |
|5       |
|6       |
|7       |
|8       |
|9       |
|10      |
|11      |
----------

What is the desired behavior?

Option 1:
Some indication that this is a paged result. Like 1/n, or 15 out of # rows (if that is efficient to do).

Option 2:
Create a DataFrame.head() function that replicates pandas behavior, making it more obvious that this is a preview.

How would this improve snowflake-snowpark-python?

Users will not accidentally realize that they are omitting results when results sets are right around the threshold of show

References, Other Background

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by locating the DataFrame.show() entry point and its existing tests. Compare the two proposed behaviors—an indication that results are limited or a DataFrame.head() method—and confirm the intended direction before implementation. Done means users can clearly tell when show() omits rows, with coverage for the 11-row example.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
data
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

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