Burst analysis for a single channel and plotting across channels

[Gauravu2]

Note

Code for identifying burst and its parameters such as start time, rate, duration and length is implemented. Added in statistics

Remaining Work

• Documentation
• Ploltting Burst across channels

[codecov-commenter]

Codecov Report

Merging #60 (82a669b) into update-0.1.1 (96fe93a) will increase coverage by 1.45%.
The diff coverage is 57.37%.

❗ Current head 82a669b differs from pull request most recent head f60495f. Consider uploading reports for the commit f60495f to get more accurate results

@@               Coverage Diff                @@
##           update-0.1.1      #60      +/-   ##
================================================
+ Coverage         40.30%   41.75%   +1.45%     
================================================
  Files                26       28       +2     
  Lines               794      855      +61     
  Branches             87       95       +8     
================================================
+ Hits                320      357      +37     
- Misses              472      493      +21     
- Partials              2        5       +3     

Flag	Coverage Δ
unittests	41.75% <57.37%> (+1.45%)	⬆️

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

Impacted Files	Coverage Δ
miv/visualization/event.py	33.33% <33.33%> (ø)
miv/statistics/burst.py	65.85% <65.85%> (ø)
miv/statistics/__init__.py	100.00% <100.00%> (ø)
miv/visualization/__init__.py	100.00% <100.00%> (ø)
miv/statistics/spiketrain_statistics.py	92.00% <0.00%> (+8.00%)	⬆️

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[skim0119]

Please take a look at the changes I made in #53, and make the style uniform.

[Gauravu2]

Changes implemented and API documentation created . Thanks

[skim0119]

Can you please write test cases for burst? I want to optimize the function a little, but I want to know what is the expected behavior beforehand.

[skim0119]

LGTM. Added optimized code for burst