feat: linear imputation in Resample

[zhaoyongjie]

SUMMARY

Adding a new resample method: linear imputation

BEFORE/AFTER SCREENSHOTS OR ANIMATED GIF

TESTING INSTRUCTIONS

1. download DailyDelhiClimateTrain.csv and create a new dataset in your local. (Use PostgreSQL as current testing)

2. open explore page and select DailyDelhiClimateTrain dataset

3. change viz type to Bar Chart, notice that you should pick up echart version

4. drag date in X-Axis

5. set time range from 2014-12-10 to 2014-12-20

6. set metric to MAX(meantemp)::INTEGER

7. set filter to date not in ('2014-12-11'::TIMESTAMP, '2014-12-12'::TIMESTAMP)

8. you get a bar chart without data for 12-11 and 12-12.
   

9. select 1 calendar day frequency and Linear imputation in Advanced analytics panel, then click Run.
   

ADDITIONAL INFORMATION

• Has associated issue:
• Required feature flags:
• Changes UI
• Includes DB Migration (follow approval process in SIP-59)
  • Migration is atomic, supports rollback & is backwards-compatible
  • Confirm DB migration upgrade and downgrade tested
  • Runtime estimates and downtime expectations provided
• Introduces new feature or API
• Removes existing feature or API

[codecov]

Codecov Report

Merging #19393 (9781d5c) into master (6f57782) will decrease coverage by 0.02%.
The diff coverage is 100.00%.

❗ Current head 9781d5c differs from pull request most recent head d7a43d0. Consider uploading reports for the commit d7a43d0 to get more accurate results

@@            Coverage Diff             @@
##           master   #19393      +/-   ##
==========================================
- Coverage   66.48%   66.46%   -0.03%     
==========================================
  Files        1670     1670              
  Lines       63952    63958       +6     
  Branches     6506     6506              
==========================================
- Hits        42519    42509      -10     
- Misses      19747    19763      +16     
  Partials     1686     1686              

Flag	Coverage Δ
hive	52.80% <33.33%> (-0.01%)	⬇️
mysql	81.65% <100.00%> (+<0.01%)	⬆️
postgres	?
presto	52.65% <33.33%> (-0.01%)	⬇️
python	82.08% <100.00%> (-0.05%)	⬇️
sqlite	81.46% <100.00%> (+<0.01%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files	Coverage Δ
...-chart-controls/src/sections/advancedAnalytics.tsx	33.33% <ø> (ø)
superset/utils/pandas_postprocessing/resample.py	100.00% <100.00%> (ø)
superset/utils/pandas_postprocessing/utils.py	96.55% <100.00%> (+0.06%)	⬆️
superset/sql_validators/postgres.py	50.00% <0.00%> (-50.00%)	⬇️
superset/reports/commands/log_prune.py	85.71% <0.00%> (-3.58%)	⬇️
superset/db_engine_specs/postgres.py	95.45% <0.00%> (-1.82%)	⬇️
superset/commands/importers/v1/utils.py	92.20% <0.00%> (-1.30%)	⬇️
superset/common/query_object.py	94.73% <0.00%> (-0.53%)	⬇️
superset/views/base_api.py	97.89% <0.00%> (-0.43%)	⬇️
superset/reports/commands/execute.py	91.14% <0.00%> (-0.37%)	⬇️
... and 3 more

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[villebro]

Niiiice! Two minor nits, other than that really looking forward to getting this merged 👍

[villebro]

LGTM