We're updating the issue view to help you get more done. 

[PySparkling] Check for correct data type as part of as_h2o_frame

Description

if the user makes a mistake and try to read in a file from disk using hc.as_h2o_frame and it executes without any error msg
making user wonder where is the parsed file

1 2 3 4 5 6 >>> hdf = hc.as_h2o_frame("/Users/nidhimehta/Downloads/ml_K.snappy.parquet") >>> hdf >>>hdd.show() Traceback (most recent call last): File "<stdin>", line 1, in <module> AttributeError: 'NoneType' object has no attribute 'show'

Environment

None

Status

Assignee

Jakub Hava

Reporter

Nidhi Mehta

Labels

None

Release Priority

None

CustomerVisible

No

testcase 1

None

testcase 2

None

testcase 3

None

h2ostream link

None

Affected Spark version

None

AffectedContact

None

AffectedCustomers

None

AffectedPilots

None

AffectedOpenSource

None

Support Assessment

None

Customer Request Type

None

Support ticket URL

End date

None

Baseline start date

None

Baseline end date

None

Task progress

None

Task mode

None

Fix versions

Priority

Major