P. Sai Vinay

GIF exports

13

### Expected Behavior An option to make GIF. Example : For any repo that can show their work effectively in their README file such as installation instructions. ### Actual Behavior...

Improve CSV Output performance

2

Closes #449 We are dumping the entire ES index to pandas data frame and then converting it into csv. This might not hold for large datasets and cause unresponsiveness. So,...

Improve performance with efficient use of FieldMappingCache

5

This small change will improve the performance of `FieldMappingCache` Existing drawbacks: - `field_mapping_cache` is initialized on every yield of `itertuples` and `iterrows` - Whenever eland dataframe is used to `repr()`...

Support Scripted aggregations and improve `Field Mappings`

5

This PR Closes #267 - Makes `field_mappings.py` strictly typed. - Changed `capability matrix` to hold `display_names` as a column rather than index. - Optimized the way we query and use...

Add `number_samples` to `XGBoost` ML Models

1

Work on #243 TreeNode of `xgboost` has the following information: ``` Tree 1 Node 0 ID 1-0 Feature f1 Split -0.030468 Yes 1-1 No 1-2 Missing 1-1 Gain 44.768673 Cover...

Add tqdm to pandas_to_eland()

8

Closes #294 - Added tqdm functionality for `pandas_to_eland()` - If we want the progress bar to disappear we will need to just add `leave=False` to tqdm context manager at line...

Look at the latest main branch builds for Eland, check the `pytest-cov` results to see what lines test coverage is missing.

Implement `ed_df.groupby([...]).indices`

2

- Implement `.indices` similar to pandas Example: ```python >>> pd_ecommerce.groupby(["currency","type"]).indices {('EUR', 'order'): array([ 0, 1, 2, ..., 4672, 4673, 4674], dtype=int64)} >>> pd_flights.groupby(["Cancelled"]).indices {False: array([ 0, 1, 2, ..., 13056,...

- Display the index of series or DataFrame similar to Pandas Example: ```python >>> pd_flights.index Index(['0', '1', '2', '3', '4', '5', '6', '7', '8', '9', ... '13049', '13050', '13051', '13052',...

Series methods `isna()`, `isnull()`, `notna()`, `notnull()` are returning ES query, rather than results.

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Examples: ```bash >>> ed_ecommerce["geoip.region_name"].isna() {'bool': {'must_not': {'exists': {'field': 'geoip.region_name'}}}} >>> ed_ecommerce["geoip.region_name"].isnull() {'bool': {'must_not': {'exists': {'field': 'geoip.region_name'}}}} >>> ed_ecommerce["geoip.region_name"].notna() {'exists': {'field': 'geoip.region_name'}} >>> ed_ecommerce["geoip.region_name"].notnull() {'exists': {'field': 'geoip.region_name'}} ``` See [Pandas Series.isna()](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.isna.html)