timesfm/timesfm-forecasting/examples/global-temperature/output/forecast_output.csv

1	date	point_forecast	mean	q10	q20	q30	q40	q50	q60	q70	q80	q90
2	2025-01-01	1.2223774	1.2215943	1.1230627	1.1613995	1.1832488	1.2030286	1.2223774	1.240989	1.2626991	1.2927711	1.339603
3	2025-02-01	1.2563584	1.2502017	1.1482248	1.1891649	1.2134029	1.2355918	1.2563584	1.2787917	1.3061507	1.3358022	1.3880283
4	2025-03-01	1.286477	1.2816916	1.1694773	1.2141376	1.2430503	1.2636719	1.286477	1.3101407	1.3365126	1.3725822	1.4265702
5	2025-04-01	1.240488	1.2406754	1.119298	1.1689228	1.1957527	1.2162383	1.240488	1.265359	1.2880774	1.3237736	1.3806401
6	2025-05-01	1.2026378	1.1969143	1.0776879	1.1280149	1.1554759	1.1801765	1.2026378	1.2274072	1.2546852	1.2890899	1.3469675
7	2025-06-01	1.21002	1.1963896	1.0811386	1.1352499	1.1687461	1.1853771	1.21002	1.2333429	1.255994	1.2938039	1.3532466
8	2025-07-01	1.2253109	1.2151253	1.0917634	1.1474797	1.176413	1.2029413	1.2253109	1.250956	1.2764856	1.3113455	1.3728349
9	2025-08-01	1.2421811	1.2292916	1.1043029	1.1598811	1.1929151	1.2164187	1.2421811	1.266998	1.2924675	1.3304923	1.394975
10	2025-09-01	1.269735	1.2603163	1.1239274	1.1872942	1.2162873	1.242951	1.269735	1.2976494	1.3236798	1.3580028	1.4252181
11	2025-10-01	1.2496669	1.2436218	1.0962446	1.1630417	1.1938806	1.221712	1.2496669	1.2757387	1.3041382	1.3376691	1.409816
12	2025-11-01	1.2135266	1.2031629	1.0545524	1.1223581	1.157211	1.1864623	1.2135266	1.2447275	1.2706528	1.3091388	1.3801678
13	2025-12-01	1.2034141	1.1867243	1.0412307	1.1113251	1.1433371	1.1752325	1.2034141	1.2308054	1.2621957	1.2912495	1.370078