Analysis of query.time_of_day.md

Here's the animation controller I used: https://gist.github.com/DoubleF3lix/3b904f6d527e2c12e6633d3335abe130
Here's the entity I used: https://gist.github.com/DoubleF3lix/a5793a79aa353dd9041b22b9fcd44504
I used this function to start the whole process: https://gist.github.com/DoubleF3lix/cf5ae53cfe1eb1c87189a9e869bfc604

I placed a large row of command blocks starting at 0 72 -1 and extending all the way to 100 73 -1, each containing time query daytime. After running the start function, a redstone block was placed at each command block.

After an entire day cycled through, here's the data:

query.time_of_day	Day Time	Corrected Day Time
0.00	18002	18000
0.01	18242	18240
0.02	18482	18480
0.03	18722	18720
0.04	18962	18960
0.05	19202	19200
0.06	19442	19440
0.07	19682	19680
0.08	19922	19920
0.09	20164	20162
0.10	20402	20400
0.11	20642	20640
0.12	20882	20880
0.13	21122	21120
0.14	21362	21360
0.15	21604	21602
0.16	21842	21840
0.17	22082	22080
0.18	22324	22322
0.19	22562	22560
0.20	22802	22800
0.21	23042	23040
0.22	23282	23280
0.23	23522	23520
0.24	23762	23760
0.25	2	0
0.26	242	240
0.27	482	480
0.28	722	720
0.29	962	960
0.30	1204	1202
0.31	1442	1440
0.32	1682	1680
0.33	1924	1922
0.34	2162	2160
0.35	2402	2400
0.36	2644	2642
0.37	2882	2880
0.38	3122	3120
0.39	3362	3360
0.40	3602	3600
0.41	3842	3840
0.42	4082	4080
0.43	4322	4320
0.44	4562	4560
0.45	4802	4800
0.46	5042	5040
0.47	5282	5280
0.48	5522	5520
0.49	5762	5760
0.50	6002	6000
0.51	6242	6240
0.52	6482	6480
0.53	6722	6720
0.54	6962	6960
0.55	7202	7200
0.56	7442	7440
0.57	7682	7680
0.58	7922	7920
0.59	8162	8160
0.60	8404	8402
0.61	8642	8640
0.62	8882	8880
0.63	9122	9120
0.64	9362	9360
0.65	9602	9600
0.66	9844	9842
0.67	10082	10080
0.68	10322	10320
0.69	10562	10560
0.70	10802	10800
0.71	11042	11040
0.72	11284	11282
0.73	11522	11520
0.74	11762	11760
0.75	12002	12000
0.76	12242	12240
0.77	12482	12480
0.78	12722	12720
0.79	12964	12962
0.80	13202	13200
0.81	13442	13440
0.82	13682	13680
0.83	13922	13920
0.84	14162	14160
0.85	14404	14402
0.86	14642	14640
0.87	14882	14880
0.88	15122	15120
0.89	15362	15360
0.90	15602	15600
0.91	15844	15842
0.92	16082	16080
0.93	16322	16320
0.94	16562	16560
0.95	16802	16800
0.96	17042	17040
0.97	17284	17282
0.98	17522	17520
0.99	17762	17760
1.00	18002	18000

Since we know that 0.00 or 1.00 is equal to 18000, not 18002, and we also know for sure that 0.25 is 0, not 2, we can correct these times by subtracting 2 from all times. These values are contained in the "Corrected Day Time" column. From this data, we can get the following equation:

To go the other way around, we just reverse the equation:

---

Here's the data in list format if you need to use it in code:

[["0.00", "18002"], ["0.01", "18242"], ["0.02", "18482"], ["0.03", "18722"], ["0.04", "18962"], ["0.05", "19202"], ["0.06", "19442"], ["0.07", "19682"], ["0.08", "19922"], ["0.09", "20164"], ["0.10", "20402"], ["0.11", "20642"], ["0.12", "20882"], ["0.13", "21122"], ["0.14", "21362"], ["0.15", "21604"], ["0.16", "21842"], ["0.17", "22082"], ["0.18", "22324"], ["0.19", "22562"], ["0.20", "22802"], ["0.21", "23042"], ["0.22", "23282"], ["0.23", "23522"], ["0.24", "23762"], ["0.25", "2"], ["0.26", "242"], ["0.27", "482"], ["0.28", "722"], ["0.29", "962"], ["0.30", "1204"], ["0.31", "1442"], ["0.32", "1682"], ["0.33", "1924"], ["0.34", "2162"], ["0.35", "2402"], ["0.36", "2644"], ["0.37", "2882"], ["0.38", "3122"], ["0.39", "3362"], ["0.40", "3602"], ["0.41", "3842"], ["0.42", "4082"], ["0.43", "4322"], ["0.44", "4562"], ["0.45", "4802"], ["0.46", "5042"], ["0.47", "5282"], ["0.48", "5522"], ["0.49", "5762"], ["0.50", "6002"], ["0.51", "6242"], ["0.52", "6482"], ["0.53", "6722"], ["0.54", "6962"], ["0.55", "7202"], ["0.56", "7442"], ["0.57", "7682"], ["0.58", "7922"], ["0.59", "8162"], ["0.60", "8404"], ["0.61", "8642"], ["0.62", "8882"], ["0.63", "9122"], ["0.64", "9362"], ["0.65", "9602"], ["0.66", "9844"], ["0.67", "10082"], ["0.68", "10322"], ["0.69", "10562"], ["0.70", "10802"], ["0.71", "11042"], ["0.72", "11284"], ["0.73", "11522"], ["0.74", "11762"], ["0.75", "12002"], ["0.76", "12242"], ["0.77", "12482"], ["0.78", "12722"], ["0.79", "12964"], ["0.80", "13202"], ["0.81", "13442"], ["0.82", "13682"], ["0.83", "13922"], ["0.84", "14162"], ["0.85", "14404"], ["0.86", "14642"], ["0.87", "14882"], ["0.88", "15122"], ["0.89", "15362"], ["0.90", "15602"], ["0.91", "15844"], ["0.92", "16082"], ["0.93", "16322"], ["0.94", "16562"], ["0.95", "16802"], ["0.96", "17042"], ["0.97", "17284"], ["0.98", "17522"], ["0.99", "17762"], ["1.00", "18002"]]

As separate arrays:

x = [0.0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0.11, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18, 0.19, 0.2, 0.21, 0.22, 0.23, 0.24, 0.25, 0.26, 0.27, 0.28, 0.29, 0.3, 0.31, 0.32, 0.33, 0.34, 0.35, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.57, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.69, 0.7, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.82, 0.83, 0.84, 0.85, 0.86, 0.87, 0.88, 0.89, 0.9, 0.91, 0.92, 0.93, 0.94, 0.95, 0.96, 0.97, 0.98, 0.99, 1.0]
y = [18002, 18242, 18482, 18722, 18962, 19202, 19442, 19682, 19922, 20164, 20402, 20642, 20882, 21122, 21362, 21604, 21842, 22082, 22324, 22562, 22802, 23042, 23282, 23522, 23762, 2, 242, 482, 722, 962, 1204, 1442, 1682, 1924, 2162, 2402, 2644, 2882, 3122, 3362, 3602, 3842, 4082, 4322, 4562, 4802, 5042, 5282, 5522, 5762, 6002, 6242, 6482, 6722, 6962, 7202, 7442, 7682, 7922, 8162, 8404, 8642, 8882, 9122, 9362, 9602, 9844, 10082, 10322, 10562, 10802, 11042, 11284, 11522, 11762, 12002, 12242, 12482, 12722, 12964, 13202, 13442, 13682, 13922, 14162, 14404, 14642, 14882, 15122, 15362, 15602, 15844, 16082, 16322, 16562, 16802, 17042, 17284, 17522, 17762, 18002]