Remove blank lines in Gantt chart when using Facets in altair - charts

The following code:
import altair as alt
import pandas as pd
source = pd.DataFrame([
{"task": 1, "start": 1, "end": 3, "group": 1},
{"task": 2, "start": 3, "end": 8, "group": 1},
{"task": 3, "start": 8, "end": 10, "group": 1},
{"task": 1, "start": 1, "end": 3, "group": 2},
{"task": 2, "start": 3, "end": 8, "group": 2},
{"task": 3, "start": 8, "end": 10, "group": 2},
{"task": 4, "start": 10, "end": 13, "group": 2},
{"task": 5, "start": 13, "end": 14, "group": 2},
])
chart = alt.Chart(source).mark_bar().encode(
x=alt.X('start', type="quantitative"),
x2=alt.X2('end'),
y=alt.Y('task', type="ordinal"),
facet=alt.Facet("group", type="nominal", columns=1)
)
produces the following Gantt chart grouped by value of column group using alt.Facet:
Is there a way to drop the blank lines from sub-plot of group 1 that correspond to lines number 4 and 5? I want to keep just filled lines of the chart.


You can resolve the y-scale to be independent of the other charts in the spec:
alt.Chart(source).mark_bar().encode(
x=alt.X('start', type="quantitative"),
x2=alt.X2('end'),
y=alt.Y('task', type="ordinal"),
facet=alt.Facet("group", type="nominal", columns=1)
).resolve_scale(
y='independent'
)

Related

How to add entries to my pathlist in flutter

Im trying to add a new set of values into my pathlist for example 3:{ "x" : 30, "y": 30 , "r":10, "color":1} to my pathlist and i am stuck here at pathlist.addentries( what to type here) . Thanks in advance for any help
Map<int, Map<String, double>> pathList = {
1: {"x": 10, "y": 10, "r": 10, "color": 0},
2: {"x": 20, "y": 20, "r": 10, "color": 1},
};

You can simply add new values like
pathList[3] = {"x": 11, "y": 10, "r": 11, "color": 11};
or as any index pathList[i] = {}

You can add one value like this
pathList[3]={ "x" : 30, "y": 30 , "r":10, "color":1};
If you want to add multiple values you can use this
pathList.addAll({
4: {"x": 10, "y": 10, "r": 10, "color": 0},
5: {"x": 20, "y": 20, "r": 10, "color": 1},
});

Databricks Flatten Read / Unpack JSON Array

I'm not entirely sure of the correct term to used here, wherther its Json Unpacking or Json explode, or simply JSON flattening. However, I'm trying to read columns for a Nested JSON array in Databricks.
For example, I would like to pull at the customerId number 'cust5001, which looks like the following key/value pair
array
0: {"customerId": "cust5001", "orderDate": "2021-12-24 00.00.00.000", "orderDetails": [{"productId": "prd9001", "quantity": 2, "sequence": 1, "totalPrice": {"gross": 550, "net": 500, "tax": 50}}, {"productId": "prd9002", "quantity": 3, "sequence": 2, "totalPrice": {"gross": 300, "net": 240, "tax": 60}}], "orderId": "ord1001", "shipmentDetails": {"city": "Delhi", "country": "India", "postalCode": "110040", "state": "New Delhi", "street": "M.G.Road"}}
1: {"customerId": "cust5002", "orderDate": "2021-12-25 00.00.00.000", "orderDetails": [{"productId": "prd9001", "quantity": 1, "sequence": 1, "totalPrice": {"gross": 275, "net": 250, "tax": 25}}, {"productId": "prd9004", "quantity": 4, "sequence": 2, "totalPrice": {"gross": 1000, "net": 900, "tax": 100}}], "orderId": "ord1002", "shipmentDetails": {"city": "Mumbai", "country": "India", "postalCode": "400064", "state": "Maharastra", "street": "Malad"}}
If you take a look at the complete image below, I believe I need to explode the column 'datasets'l and then query "customerId":"cust5001"
To be totally straight, I would like to flatten the whole two rows, but if someone could show me how pull out "customerId":"cust5001", it would be start.

How to show the title with "multiple marks" in Vega lite?

I am using this Stacked Bar Chart Example at the link: https://vega.github.io/vega/examples/stacked-bar-chart/
But I can't figure out how to show the field title on axis x and y.
I want to show the title x and y below.
Is there a way to display the label title on the x and y axes?

Just add a title attribute.
{
"$schema": "https://vega.github.io/schema/vega/v5.json",
"description": "A basic stacked bar chart example.",
"width": 500,
"height": 200,
"padding": 5,
"data": [
{
"name": "table",
"values": [
{"x": 0, "y": 28, "c": 0}, {"x": 0, "y": 55, "c": 1},
{"x": 1, "y": 43, "c": 0}, {"x": 1, "y": 91, "c": 1},
{"x": 2, "y": 81, "c": 0}, {"x": 2, "y": 53, "c": 1},
{"x": 3, "y": 19, "c": 0}, {"x": 3, "y": 87, "c": 1},
{"x": 4, "y": 52, "c": 0}, {"x": 4, "y": 48, "c": 1},
{"x": 5, "y": 24, "c": 0}, {"x": 5, "y": 49, "c": 1},
{"x": 6, "y": 87, "c": 0}, {"x": 6, "y": 66, "c": 1},
{"x": 7, "y": 17, "c": 0}, {"x": 7, "y": 27, "c": 1},
{"x": 8, "y": 68, "c": 0}, {"x": 8, "y": 16, "c": 1},
{"x": 9, "y": 49, "c": 0}, {"x": 9, "y": 15, "c": 1}
],
"transform": [
{
"type": "stack",
"groupby": ["x"],
"sort": {"field": "c"},
"field": "y"
}
]
}
],
"scales": [
{
"name": "x",
"type": "band",
"range": "width",
"domain": {"data": "table", "field": "x"}
},
{
"name": "y",
"type": "linear",
"range": "height",
"nice": true, "zero": true,
"domain": {"data": "table", "field": "y1"}
},
{
"name": "color",
"type": "ordinal",
"range": "category",
"domain": {"data": "table", "field": "c"}
}
],
"axes": [
{"orient": "bottom", "scale": "x", "zindex": 1, "title":"x"},
{"orient": "left", "scale": "y", "zindex": 1, "title":"y"}
],
"marks": [
{
"type": "rect",
"from": {"data": "table"},
"encode": {
"enter": {
"x": {"scale": "x", "field": "x"},
"width": {"scale": "x", "band": 1, "offset": -1},
"y": {"scale": "y", "field": "y0"},
"y2": {"scale": "y", "field": "y1"},
"fill": {"scale": "color", "field": "c"}
},
"update": {
"fillOpacity": {"value": 1}
},
"hover": {
"fillOpacity": {"value": 0.5}
}
}
}
]
}

Very Complex Json with same field name

My colleague is response for backend development, this is one of example of the API response.
I want to know that how can I separate it to the map?
And There have same name, I am very difficult to handle it. JSON to Dart generated code also will have error case by same name.
Is there have any other solution to handle this Json?
{
"formId": 1,
"formTypeId": 2,
"formTemplateId": 1,
"version": 1,
"history": "N",
"refNum": "AGQ/T01/01/A1/QA2/0001",
"dateOfAcceptance": "2020/12/16 14:54:01",
"dateOfReacceptance": "2020/12/16 14:54:01",
"blockId": 242,
"floorId": 1,
"flatId": 98,
"isPublic": "N",
"locationId": 1,
"fromFloorId": 1,
"toFloorId": 2,
"elevationId": 1,
"isNextVendor": "Y",
"isMultipleVendor": "N",
"formStatusId": 1,
"checkResults": 1,
"submissionDate": "2020/12/16 14:54:01",
"submittedBy": "ADMINISTRATOR",
"siteId": "YLTL",
"formDetails": [
{
"formDetailsId": 1,
"formId": 1,
"title": "A. 驗收項目",
"checkType": 1,
"required": "Y",
"parentId": 0,
"orderNum": 1,
"formDetailsOptions": [],
"fromDetails": [
{
"formDetailsId": 3,
"formId": 1,
"title": "Title group",
"checkType": 2,
"required": "Y",
"parentId": 1,
"orderNum": 1,
"formDetailsOptions": [],
"fromDetails": [
{
"formDetailsId": 4,
"formId": 1,
"title": "門編號：",
"checkType": 5,
"required": "Y",
"parentId": 3,
"orderNum": 1,
"answerVal": "A001",
"formDetailsOptions": []
},
{
"formDetailsId": 5,
"formId": 1,
"title": "位置：",
"checkType": 6,
"required": "Y",
"parentId": 3,
"orderNum": 2,
"formDetailsOptions": [
{
"formDetailsOptionsId": 1,
"formDetailsId": 5,
"orderNum": 1,
"optionDesc": "單位大門",
"defectOpts": "N",
"additionOpts": "N",
"selected": "N"
},
{
"formDetailsOptionsId": 2,
"formDetailsId": 5,
"orderNum": 2,
"optionDesc": "廚房門",
"defectOpts": "N",
"additionOpts": "N",
"selected": "N"
},
{
"formDetailsOptionsId": 3,
"formDetailsId": 5,
"orderNum": 3,
"optionDesc": "廁所客廳",
"defectOpts": "N",
"additionOpts": "N",
"selected": "N"
}
]
},
{
"formDetailsId": 6,
"formId": 1,
"title": "假框抆塞：",
"checkType": 4,
"required": "Y",
"parentId": 3,
"orderNum": 3,
"answerVal": "Y",
"formDetailsOptions": []
},
{
"formDetailsId": 7,
"formId": 1,
"title": "門框尺寸：",
"checkType": 4,
"required": "Y",
"parentId": 3,
"orderNum": 4,
"answerVal": "Y",
"formDetailsOptions": []
},
{
"formDetailsId": 8,
"formId": 1,
"title": "門框木料：",
"checkType": 4,
"required": "Y",
"parentId": 3,
"orderNum": 5,
"answerVal": "Y",
"formDetailsOptions": []
},
{
"formDetailsId": 9,
"formId": 1,
"title": "門框接口：",
"checkType": 4,
"required": "Y",
"parentId": 3,
"orderNum": 6,
"answerVal": "Y",
"formDetailsOptions": []
},
{
"formDetailsId": 10,
"formId": 1,
"title": "門框色澤：",
"checkType": 4,
"required": "Y",
"parentId": 3,
"orderNum": 7,
"answerVal": "Y",
"formDetailsOptions": []
},
{
"formDetailsId": 11,
"formId": 1,
"title": "磨耳及蟻油：",
"checkType": 4,
"required": "Y",
"parentId": 3,
"orderNum": 8,
"answerVal": "Y",
"formDetailsOptions": []
},
{
"formDetailsId": 12,
"formId": 1,
"title": "防火膠條：",
"checkType": 4,
"required": "Y",
"parentId": 3,
"orderNum": 9,
"answerVal": "Y",
"formDetailsOptions": []
},
{
"formDetailsId": 13,
"formId": 1,
"title": "平正及穩固：",
"checkType": 4,
"required": "Y",
"parentId": 3,
"orderNum": 10,
"answerVal": "Y",
"formDetailsOptions": []
},
{
"formDetailsId": 14,
"formId": 1,
"title": "備註：",
"checkType": 7,
"required": "N",
"parentId": 3,
"orderNum": 11,
"answerVal": "Test group remark",
"formDetailsOptions": []
}
]
}
]
},
{
"formDetailsId": 2,
"formId": 1,
"title": "B. 要改善位置及詳情備註：",
"checkType": 1,
"required": "Y",
"parentId": 0,
"orderNum": 2,
"answerVal": "Test B remark",
"formDetailsOptions": []
}
],
"formDefects": [
{
"formDefectsId": 1,
"formId": 1,
"defectRemark": "Test Remark",
"followActionId": 1,
"reporterType": 1,
"formDefectsImgs": [
{
"formDefectsImgId": 1,
"formDefectsId": 1,
"imgType": 1,
"filePath": "data/images/1/DEFECT-20201228150623123-2F3F4H.jpg",
"orderNum": 1
}
]
}
],
"formVendors": [
{
"formVendorId": 2,
"formId": 1,
"vendorId": "3954",
"orderNum": 2,
"isNextVendor": "N",
"formVendorImgs": [
{
"formVendorImgId": 1,
"formVendorId": 2,
"filePath": "data/images/1/QUERY-20201228151423123-2FF2V4.png",
"orderNum": 1
}
],
"vendor": {
"vendorId": "3954",
"vendorDesc": "博西華",
"vendorDescDisp": "BSH"
}
}
],
"formNextVendors": [
{
"formVendorId": 1,
"formId": 1,
"vendorId": "3985",
"orderNum": 1,
"isNextVendor": "Y",
"formVendorImgs": [
{
"formVendorImgId": 2,
"formVendorId": 1,
"filePath": "data/images/1/QUERY-20201228151423123-VD5F5H.png",
"orderNum": 2
}
],
"vendor": {
"vendorId": "3985",
"vendorDesc": "瑞基",
"vendorDescDisp": "Zuki"
}
}
]
}

With this kind of complex json i would suggest using dart packages for serialization. For example:
https://pub.dev/packages/json_serializable
or
https://pub.dev/packages/built_value

If you can share Dart models, then use json_serializable package. That would make things easier. But...
...if you have to live with the JSON response that your colleague developed and you cannot share your models that convert from/to Json, one alternative would be to use https://app.quicktype.io/
I entered your JSON response and out came generated Dart code that seems legit, at a first glance at least.
Example from that code generation:
factory ComplexJson.fromJson(Map<String, dynamic> json) => ComplexJson(
formId: json["formId"],
formTypeId: json["formTypeId"],
formTemplateId: json["formTemplateId"],
version: json["version"],
history: historyValues.map[json["history"]],
refNum: json["refNum"],
dateOfAcceptance: json["dateOfAcceptance"],
dateOfReacceptance: json["dateOfReacceptance"],
blockId: json["blockId"],
floorId: json["floorId"],
flatId: json["flatId"],
isPublic: historyValues.map[json["isPublic"]],
locationId: json["locationId"],
fromFloorId: json["fromFloorId"],
toFloorId: json["toFloorId"],
elevationId: json["elevationId"],
isNextVendor: historyValues.map[json["isNextVendor"]],
isMultipleVendor: historyValues.map[json["isMultipleVendor"]],
formStatusId: json["formStatusId"],
checkResults: json["checkResults"],
submissionDate: json["submissionDate"],
submittedBy: json["submittedBy"],
siteId: json["siteId"],
formDetails: List<MDetail>.from(json["formDetails"].map((x) => MDetail.fromJson(x))),
formDefects: List<FormDefect>.from(json["formDefects"].map((x) => FormDefect.fromJson(x))),
formVendors: List<FormVendor>.from(json["formVendors"].map((x) => FormVendor.fromJson(x))),
formNextVendors: List<FormVendor>.from(json["formNextVendors"].map((x) => FormVendor.fromJson(x))),
);

Extract elements from JSON array and return them as concatenated string

A PostgreSQL 10 table contains JSON data like (here an SQL Fiddle):
[
{
"col": 7,
"row": 12,
"value": 3,
"letter": "A"
},
{
"col": 8,
"row": 12,
"value": 10,
"letter": "B"
},
{
"col": 9,
"row": 12,
"value": 1,
"letter": "C"
},
{
"col": 10,
"row": 12,
"value": 2,
"letter": "D"
}
]
How to extract only the "letter" values and concatenate them to a string like
ABCD
I suppose at the end I should use the ARRAY_TO_STRING function, but which JSON function to use for extracting the "letter" values to an array?
UPDATE:
Got a tip at the very helpful PostgreSQL mailing list too:
SELECT string_agg(x->>'letter','') FROM json_array_elements(
'[{"col": 7, "row": 12, "value": 3, "letter": "A"}, {"col": 8, "row": 12, "value": 10, "letter": "B"}, {"col": 9, "row": 12, "value": 1, "letter": "C"}, {"col": 10, "row": 12, "value": 2, "letter": "D"}]'::json
) x;

Use jsonb_array_elements() and string_agg():
with my_table(json_data) as (
values(
'[
{
"col": 7,
"row": 12,
"value": 3,
"letter": "A"
},
{
"col": 8,
"row": 12,
"value": 10,
"letter": "B"
},
{
"col": 9,
"row": 12,
"value": 1,
"letter": "C"
},
{
"col": 10,
"row": 12,
"value": 2,
"letter": "D"
}
]'::jsonb)
)
select string_agg(value->>'letter', '')
from my_table
cross join lateral jsonb_array_elements(json_data)
string_agg
------------
ABCD
(1 row)