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https://issues.apache.org/jira/browse/BEAM-7926?focusedWorklogId=332711&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-332711
]
ASF GitHub Bot logged work on BEAM-7926:
----------------------------------------
Author: ASF GitHub Bot
Created on: 23/Oct/19 17:46
Start Date: 23/Oct/19 17:46
Worklog Time Spent: 10m
Work Description: aaltay commented on pull request #9741: [BEAM-7926]
Visualize PCollection
URL: https://github.com/apache/beam/pull/9741#discussion_r338181206
##########
File path:
sdks/python/apache_beam/runners/interactive/display/pcoll_visualization.py
##########
@@ -0,0 +1,279 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+"""Module visualizes PCollection data.
+
+For internal use only; no backwards-compatibility guarantees.
+Only works with Python 3.5+.
+"""
+from __future__ import absolute_import
+
+import base64
+import logging
+from datetime import timedelta
+
+from pandas.io.json import json_normalize
+
+from apache_beam import pvalue
+from apache_beam.runners.interactive import interactive_environment as ie
+from apache_beam.runners.interactive import pipeline_instrument as instr
+
+# jsons doesn't support < Python 3.5. Work around with json for legacy tests.
+# TODO(BEAM-8288): clean up once Py2 is deprecated from Beam.
+try:
+ import jsons
+ _pv_jsons_load = jsons.load
+ _pv_jsons_dump = jsons.dump
+except ImportError:
+ import json
+ _pv_jsons_load = json.load
+ _pv_jsons_dump = json.dump
+
+try:
+ from facets_overview.generic_feature_statistics_generator import
GenericFeatureStatisticsGenerator
+ _facets_gfsg_ready = True
+except ImportError:
+ _facets_gfsg_ready = False
Review comment:
Is there a reason for _facets_gfsg_ready, _ipython_ready, _tl_ready to be
separately ready? Does this module work with some of them installed and some
not?
I think this import section could be reduced to
try:
... import all
except ImportError
... warning, missing dependencies and ask user to install [interactive]
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Issue Time Tracking
-------------------
Worklog Id: (was: 332711)
Time Spent: 9h 20m (was: 9h 10m)
> Visualize PCollection with Interactive Beam
> -------------------------------------------
>
> Key: BEAM-7926
> URL: https://issues.apache.org/jira/browse/BEAM-7926
> Project: Beam
> Issue Type: New Feature
> Components: runner-py-interactive
> Reporter: Ning Kang
> Assignee: Ning Kang
> Priority: Major
> Time Spent: 9h 20m
> Remaining Estimate: 0h
>
> Support auto plotting / charting of materialized data of a given PCollection
> with Interactive Beam.
> Say an Interactive Beam pipeline defined as
> p = create_pipeline()
> pcoll = p | 'Transform' >> transform()
> The use can call a single function and get auto-magical charting of the data
> as materialized pcoll.
> e.g., visualize(pcoll)
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