When data type are int vs real in the h2o python client , if invoke summary before running rbind get error

[exalate-issue-sync]

this works -

{code:java}df = h2o.H2OFrame([1, 2, 5.5], destination_frame="df")
df1 = df[3, :]
df2 = df[:2, :]
df1.rbind(df2){code}

this fails

{code:java}df = h2o.H2OFrame([1, 2, 5.5], destination_frame="df")
df1 = df[3, :]
df2 = df[:2, :]
summary = df1.summary(return_data=True)
df1.rbind(df2) # Error because of different data types

H2OValueError Traceback (most recent call last)
in
----> 1 df1.rbind(df2) # Error because of different data types

/usr/local/lib/python3.7/site-packages/h2o/frame.py in rbind(self, data)
2635 "the columns must match" % (frame.ncol, self.ncol))
2636 if frame.columns != self.columns or frame.types != self.types:
-> 2637 raise H2OValueError("Column names and types must match for rbind() to work")
2638 fr = H2OFrame._expr(expr=ExprNode("rbind", self, *frames), cache=self._ex._cache)
2639 fr._ex._cache.nrows = self.nrow + sum(frame.nrow for frame in frames)

H2OValueError: Column names and types must match for rbind() to work
{code}

[exalate-issue-sync]

Wendy commented: I changed the column type check in frame.py. If the column types belong to [“real” “int”], rbind will proceed.

[exalate-issue-sync]

Nidhi Mehta commented: pr - [https://github.com//pull/4249|https://github.com//pull/4249|smart-link]

[h2o-ops]

JIRA Issue Migration Info

Jira Issue: PUBDEV-7186
Assignee: Wendy
Reporter: Nidhi Mehta
State: Resolved
Fix Version: 3.28.0.3
Attachments: Available (Count: 1)
Development PRs: Available

Linked PRs from JIRA

#4249

Attachments From Jira

Attachment Name: Screen Shot 2020-01-07 at 12.02.48 PM.png
Attached By: Nidhi Mehta
File Link:https://h2o-3-jira-github-migration.s3.amazonaws.com/PUBDEV-7186/Screen Shot 2020-01-07 at 12.02.48 PM.png