Add `gemini_ids` to python infogrid specs

[sharlagelfand]

As part of #106, we added a gemini_ids field to the info grid specs that gives the IDs of the records in each group, so that the IDs are consistent and tracked across all frames.

This was recent so wasn't in the specs given for recreating in python, but should be added there too if we want to be consistent re: tracking across frames. @giorgi-ghviniashvili's code creates the IDs as a fallback if they are not there, so @chisingh's code still runs fine without them, but for testing + tracking something to keep an eye on!

Here are the specs for the salary example:

```json [ { "height": 300, "width": 300, "$schema": "https://vega.github.io/schema/vega-lite/v4.json", "meta": { "parse": "grid", "description": "Initial data" }, "data": { "values": [ { "n": 100, "gemini_ids": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100] } ] }, "mark": { "type": "point", "filled": true, "strokeWidth": 1 }, "encoding": { "x": { "field": "datamations_x", "type": "quantitative", "axis": null }, "y": { "field": "datamations_y", "type": "quantitative", "axis": null } } }, { "height": 300, "width": 300, "$schema": "https://vega.github.io/schema/vega-lite/v4.json", "meta": { "parse": "grid", "description": "Group by Work", "splitField": "Work", "axes": false }, "data": { "values": [ { "Work": "Academia", "n": 28, "gemini_ids": [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28] }, { "Work": "Industry", "n": 72, "gemini_ids": [29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100] } ] }, "mark": { "type": "point", "filled": true, "strokeWidth": 1 }, "encoding": { "x": { "field": "datamations_x", "type": "quantitative", "axis": null }, "y": { "field": "datamations_y", "type": "quantitative", "axis": null }, "color": { "field": null, "type": "nominal" }, "tooltip": [ { "field": "Work", "type": "nominal" } ] } }, { "height": 300, "width": 300, "$schema": "https://vega.github.io/schema/vega-lite/v4.json", "meta": { "parse": "jitter", "axes": false, "description": "Plot Salary within each group", "splitField": "Work", "xAxisLabels": ["Academia", "Industry"] }, "data": { "values": [ { "gemini_id": 1, "Work": "Academia", "datamations_x": 1, "datamations_y": 81.9445013836958, "datamations_y_tooltip": 81.9445013836958 }, { "gemini_id": 2, "Work": "Academia", "datamations_x": 1, "datamations_y": 84.4868333523627, "datamations_y_tooltip": 84.4868333523627 }, { "gemini_id": 3, "Work": "Academia", "datamations_x": 1, "datamations_y": 82.8953005648218, "datamations_y_tooltip": 82.8953005648218 }, { "gemini_id": 4, "Work": "Academia", "datamations_x": 1, "datamations_y": 83.8469139884692, "datamations_y_tooltip": 83.8469139884692 }, { "gemini_id": 5, "Work": "Academia", "datamations_x": 1, "datamations_y": 83.7531382157467, "datamations_y_tooltip": 83.7531382157467 }, { "gemini_id": 6, "Work": "Academia", "datamations_x": 1, "datamations_y": 85.2683244312648, "datamations_y_tooltip": 85.2683244312648 }, { "gemini_id": 7, "Work": "Academia", "datamations_x": 1, "datamations_y": 85.3309176496696, "datamations_y_tooltip": 85.3309176496696 }, { "gemini_id": 8, "Work": "Academia", "datamations_x": 1, "datamations_y": 83.2656172472052, "datamations_y_tooltip": 83.2656172472052 }, { "gemini_id": 9, "Work": "Academia", "datamations_x": 1, "datamations_y": 82.899547266541, "datamations_y_tooltip": 82.899547266541 }, { "gemini_id": 10, "Work": "Academia", "datamations_x": 1, "datamations_y": 84.7384647994768, "datamations_y_tooltip": 84.7384647994768 }, { "gemini_id": 11, "Work": "Academia", "datamations_x": 1, "datamations_y": 85.0068552203011, "datamations_y_tooltip": 85.0068552203011 }, { "gemini_id": 12, "Work": "Academia", "datamations_x": 1, "datamations_y": 85.1630066898651, "datamations_y_tooltip": 85.1630066898651 }, { "gemini_id": 13, "Work": "Academia", "datamations_x": 1, "datamations_y": 85.3773716066498, "datamations_y_tooltip": 85.3773716066498 }, { "gemini_id": 14, "Work": "Academia", "datamations_x": 1, "datamations_y": 85.0828845105134, "datamations_y_tooltip": 85.0828845105134 }, { "gemini_id": 15, "Work": "Academia", "datamations_x": 1, "datamations_y": 84.3256172758993, "datamations_y_tooltip": 84.3256172758993 }, { "gemini_id": 16, "Work": "Academia", "datamations_x": 1, "datamations_y": 84.1406831252389, "datamations_y_tooltip": 84.1406831252389 }, { "gemini_id": 17, "Work": "Academia", "datamations_x": 1, "datamations_y": 86.0538539250847, "datamations_y_tooltip": 86.0538539250847 }, { "gemini_id": 18, "Work": "Academia", "datamations_x": 1, "datamations_y": 85.9106459924951, "datamations_y_tooltip": 85.9106459924951 }, { "gemini_id": 19, "Work": "Academia", "datamations_x": 1, "datamations_y": 86.0406335154548, "datamations_y_tooltip": 86.0406335154548 }, { "gemini_id": 20, "Work": "Academia", "datamations_x": 1, "datamations_y": 85.3303201349918, "datamations_y_tooltip": 85.3303201349918 }, { "gemini_id": 21, "Work": "Academia", "datamations_x": 1, "datamations_y": 85.4951418309938, "datamations_y_tooltip": 85.4951418309938 }, { "gemini_id": 22, "Work": "Academia", "datamations_x": 1, "datamations_y": 86.4447282091714, "datamations_y_tooltip": 86.4447282091714 }, { "gemini_id": 23, "Work": "Academia", "datamations_x": 1, "datamations_y": 86.3678887020797, "datamations_y_tooltip": 86.3678887020797 }, { "gemini_id": 24, "Work": "Academia", "datamations_x": 1, "datamations_y": 84.5408536496107, "datamations_y_tooltip": 84.5408536496107 }, { "gemini_id": 25, "Work": "Academia", "datamations_x": 1, "datamations_y": 87.049029128626, "datamations_y_tooltip": 87.049029128626 }, { "gemini_id": 26, "Work": "Academia", "datamations_x": 1, "datamations_y": 85.4612494898029, "datamations_y_tooltip": 85.4612494898029 }, { "gemini_id": 27, "Work": "Academia", "datamations_x": 1, "datamations_y": 86.6827135430649, "datamations_y_tooltip": 86.6827135430649 }, { "gemini_id": 28, "Work": "Academia", "datamations_x": 1, "datamations_y": 87.4391794742551, "datamations_y_tooltip": 87.4391794742551 }, { "gemini_id": 29, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.4052118111867, "datamations_y_tooltip": 91.4052118111867 }, { "gemini_id": 30, "Work": "Industry", "datamations_x": 2, "datamations_y": 92.3489408034366, "datamations_y_tooltip": 92.3489408034366 }, { "gemini_id": 31, "Work": "Industry", "datamations_x": 2, "datamations_y": 90.1877911367919, "datamations_y_tooltip": 90.1877911367919 }, { "gemini_id": 32, "Work": "Industry", "datamations_x": 2, "datamations_y": 90.3138903337531, "datamations_y_tooltip": 90.3138903337531 }, { "gemini_id": 33, "Work": "Industry", "datamations_x": 2, "datamations_y": 90.3365755749401, "datamations_y_tooltip": 90.3365755749401 }, { "gemini_id": 34, "Work": "Industry", "datamations_x": 2, "datamations_y": 89.6885157823563, "datamations_y_tooltip": 89.6885157823563 }, { "gemini_id": 35, "Work": "Industry", "datamations_x": 2, "datamations_y": 89.657391943736, "datamations_y_tooltip": 89.657391943736 }, { "gemini_id": 36, "Work": "Industry", "datamations_x": 2, "datamations_y": 89.8103184474166, "datamations_y_tooltip": 89.8103184474166 }, { "gemini_id": 37, "Work": "Industry", "datamations_x": 2, "datamations_y": 90.1445505130105, "datamations_y_tooltip": 90.1445505130105 }, { "gemini_id": 38, "Work": "Industry", "datamations_x": 2, "datamations_y": 90.2597002927214, "datamations_y_tooltip": 90.2597002927214 }, { "gemini_id": 39, "Work": "Industry", "datamations_x": 2, "datamations_y": 89.5807276440319, "datamations_y_tooltip": 89.5807276440319 }, { "gemini_id": 40, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.4775695463177, "datamations_y_tooltip": 91.4775695463177 }, { "gemini_id": 41, "Work": "Industry", "datamations_x": 2, "datamations_y": 90.5421400056221, "datamations_y_tooltip": 90.5421400056221 }, { "gemini_id": 42, "Work": "Industry", "datamations_x": 2, "datamations_y": 90.9508253019303, "datamations_y_tooltip": 90.9508253019303 }, { "gemini_id": 43, "Work": "Industry", "datamations_x": 2, "datamations_y": 90.7608228451572, "datamations_y_tooltip": 90.7608228451572 }, { "gemini_id": 44, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.2149588565808, "datamations_y_tooltip": 91.2149588565808 }, { "gemini_id": 45, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.4811559985392, "datamations_y_tooltip": 91.4811559985392 }, { "gemini_id": 46, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.203505871119, "datamations_y_tooltip": 91.203505871119 }, { "gemini_id": 47, "Work": "Industry", "datamations_x": 2, "datamations_y": 90.900099467719, "datamations_y_tooltip": 90.900099467719 }, { "gemini_id": 48, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.3447520111222, "datamations_y_tooltip": 91.3447520111222 }, { "gemini_id": 49, "Work": "Industry", "datamations_x": 2, "datamations_y": 90.6169246234931, "datamations_y_tooltip": 90.6169246234931 }, { "gemini_id": 50, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.1798533124384, "datamations_y_tooltip": 91.1798533124384 }, { "gemini_id": 51, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.2493746823166, "datamations_y_tooltip": 91.2493746823166 }, { "gemini_id": 52, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.4049337708857, "datamations_y_tooltip": 91.4049337708857 }, { "gemini_id": 53, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.1165353488177, "datamations_y_tooltip": 91.1165353488177 }, { "gemini_id": 54, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.1068642993923, "datamations_y_tooltip": 91.1068642993923 }, { "gemini_id": 55, "Work": "Industry", "datamations_x": 2, "datamations_y": 90.6704280367121, "datamations_y_tooltip": 90.6704280367121 }, { "gemini_id": 56, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.4698466714472, "datamations_y_tooltip": 91.4698466714472 }, { "gemini_id": 57, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.0579056167044, "datamations_y_tooltip": 91.0579056167044 }, { "gemini_id": 58, "Work": "Industry", "datamations_x": 2, "datamations_y": 93.1602621641941, "datamations_y_tooltip": 93.1602621641941 }, { "gemini_id": 59, "Work": "Industry", "datamations_x": 2, "datamations_y": 93.4098555028904, "datamations_y_tooltip": 93.4098555028904 }, { "gemini_id": 60, "Work": "Industry", "datamations_x": 2, "datamations_y": 90.9434416298755, "datamations_y_tooltip": 90.9434416298755 }, { "gemini_id": 61, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.1740557027515, "datamations_y_tooltip": 91.1740557027515 }, { "gemini_id": 62, "Work": "Industry", "datamations_x": 2, "datamations_y": 93.0570627038833, "datamations_y_tooltip": 93.0570627038833 }, { "gemini_id": 63, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.2401522365399, "datamations_y_tooltip": 91.2401522365399 }, { "gemini_id": 64, "Work": "Industry", "datamations_x": 2, "datamations_y": 90.5011388328858, "datamations_y_tooltip": 90.5011388328858 }, { "gemini_id": 65, "Work": "Industry", "datamations_x": 2, "datamations_y": 90.6040293425322, "datamations_y_tooltip": 90.6040293425322 }, { "gemini_id": 66, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.4005046924576, "datamations_y_tooltip": 91.4005046924576 }, { "gemini_id": 67, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.1476999609731, "datamations_y_tooltip": 91.1476999609731 }, { "gemini_id": 68, "Work": "Industry", "datamations_x": 2, "datamations_y": 90.7045878821518, "datamations_y_tooltip": 90.7045878821518 }, { "gemini_id": 69, "Work": "Industry", "datamations_x": 2, "datamations_y": 90.6188371984754, "datamations_y_tooltip": 90.6188371984754 }, { "gemini_id": 70, "Work": "Industry", "datamations_x": 2, "datamations_y": 90.5633510330226, "datamations_y_tooltip": 90.5633510330226 }, { "gemini_id": 71, "Work": "Industry", "datamations_x": 2, "datamations_y": 90.5981954357121, "datamations_y_tooltip": 90.5981954357121 }, { "gemini_id": 72, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.1700340267271, "datamations_y_tooltip": 91.1700340267271 }, { "gemini_id": 73, "Work": "Industry", "datamations_x": 2, "datamations_y": 90.7472879537381, "datamations_y_tooltip": 90.7472879537381 }, { "gemini_id": 74, "Work": "Industry", "datamations_x": 2, "datamations_y": 92.0161147855688, "datamations_y_tooltip": 92.0161147855688 }, { "gemini_id": 75, "Work": "Industry", "datamations_x": 2, "datamations_y": 92.2819435379934, "datamations_y_tooltip": 92.2819435379934 }, { "gemini_id": 76, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.5201518230606, "datamations_y_tooltip": 91.5201518230606 }, { "gemini_id": 77, "Work": "Industry", "datamations_x": 2, "datamations_y": 92.2406232669018, "datamations_y_tooltip": 92.2406232669018 }, { "gemini_id": 78, "Work": "Industry", "datamations_x": 2, "datamations_y": 92.7338204937987, "datamations_y_tooltip": 92.7338204937987 }, { "gemini_id": 79, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.6161431246437, "datamations_y_tooltip": 91.6161431246437 }, { "gemini_id": 80, "Work": "Industry", "datamations_x": 2, "datamations_y": 92.0414693744387, "datamations_y_tooltip": 92.0414693744387 }, { "gemini_id": 81, "Work": "Industry", "datamations_x": 2, "datamations_y": 92.2921498068608, "datamations_y_tooltip": 92.2921498068608 }, { "gemini_id": 82, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.6981512298808, "datamations_y_tooltip": 91.6981512298808 }, { "gemini_id": 83, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.8960476492066, "datamations_y_tooltip": 91.8960476492066 }, { "gemini_id": 84, "Work": "Industry", "datamations_x": 2, "datamations_y": 92.4187721665949, "datamations_y_tooltip": 92.4187721665949 }, { "gemini_id": 85, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.8766731780488, "datamations_y_tooltip": 91.8766731780488 }, { "gemini_id": 86, "Work": "Industry", "datamations_x": 2, "datamations_y": 92.3804325407837, "datamations_y_tooltip": 92.3804325407837 }, { "gemini_id": 87, "Work": "Industry", "datamations_x": 2, "datamations_y": 92.1729675922543, "datamations_y_tooltip": 92.1729675922543 }, { "gemini_id": 88, "Work": "Industry", "datamations_x": 2, "datamations_y": 93.1600916916505, "datamations_y_tooltip": 93.1600916916505 }, { "gemini_id": 89, "Work": "Industry", "datamations_x": 2, "datamations_y": 92.1522822889965, "datamations_y_tooltip": 92.1522822889965 }, { "gemini_id": 90, "Work": "Industry", "datamations_x": 2, "datamations_y": 92.1945560907479, "datamations_y_tooltip": 92.1945560907479 }, { "gemini_id": 91, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.5597189620603, "datamations_y_tooltip": 91.5597189620603 }, { "gemini_id": 92, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.992212592857, "datamations_y_tooltip": 91.992212592857 }, { "gemini_id": 93, "Work": "Industry", "datamations_x": 2, "datamations_y": 92.4685412924737, "datamations_y_tooltip": 92.4685412924737 }, { "gemini_id": 94, "Work": "Industry", "datamations_x": 2, "datamations_y": 93.7030599385034, "datamations_y_tooltip": 93.7030599385034 }, { "gemini_id": 95, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.9892992568202, "datamations_y_tooltip": 91.9892992568202 }, { "gemini_id": 96, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.9956347632688, "datamations_y_tooltip": 91.9956347632688 }, { "gemini_id": 97, "Work": "Industry", "datamations_x": 2, "datamations_y": 92.3084856946953, "datamations_y_tooltip": 92.3084856946953 }, { "gemini_id": 98, "Work": "Industry", "datamations_x": 2, "datamations_y": 91.7435715948232, "datamations_y_tooltip": 91.7435715948232 }, { "gemini_id": 99, "Work": "Industry", "datamations_x": 2, "datamations_y": 93.833772216225, "datamations_y_tooltip": 93.833772216225 }, { "gemini_id": 100, "Work": "Industry", "datamations_x": 2, "datamations_y": 94.0215112566948, "datamations_y_tooltip": 94.0215112566948 } ] }, "mark": { "type": "point", "filled": true, "strokeWidth": 1 }, "encoding": { "x": { "field": "datamations_x", "type": "quantitative", "axis": { "values": [1, 2], "labelExpr": "round(datum.label) == 1 ? 'Academia' : 'Industry'", "labelAngle": -90 }, "title": "Work", "scale": { "domain": [0.5, 2.5] } }, "y": { "field": "datamations_y", "type": "quantitative", "title": "Salary", "scale": { "domain": [81.9445013836958, 94.0215112566948] } }, "tooltip": [ { "field": "datamations_y_tooltip", "type": "quantitative", "title": "Salary" }, { "field": "Work", "type": "nominal" } ] } }, { "height": 300, "width": 300, "$schema": "https://vega.github.io/schema/vega-lite/v4.json", "meta": { "axes": false, "description": "Plot mean Salary of each group", "custom_animation": "mean" }, "data": { "values": [ { "gemini_id": 1, "Work": "Academia", "datamations_x": 1, "datamations_y": 85.0122219615483, "datamations_y_tooltip": 85.0122219615483 }, { "gemini_id": 2, "Work": "Academia", "datamations_x": 1, "datamations_y": 85.0122219615483, "datamations_y_tooltip": 85.0122219615483 }, { "gemini_id": 3, "Work": "Academia", "datamations_x": 1, "datamations_y": 85.0122219615483, "datamations_y_tooltip": 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[sharlagelfand]

Closed by #127, checked in #131