Last updated: 2023-08-15
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| Rmd | f6d01a1 | Mena WANG | 2023-08-15 | more on datetime |
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| Rmd | 7acb5aa | Mena WANG | 2023-08-13 | working with dates |
It is many times tricky to work with dates. Here I will collect and share relevant functions that I found useful along the way.
# enable python in RMarkdown
library(reticulate)with the datetime package, we can easily transform between datetime/date object and its string representations.
import datetime
date_dt = datetime.datetime(2023, 8, 13, 0, 0, 0)
print(date_dt, type(date_dt))2023-08-13 00:00:00 <class 'datetime.datetime'>date = datetime.date(2023, 8, 13)
print(date, type(date))2023-08-13 <class 'datetime.date'>date_str = date.strftime('%Y-%m-%d')
print(date_str, type(date_str))2023-08-13 <class 'str'>date_dt_ = datetime.datetime.strptime(date_str, '%Y-%m-%d')
print(date_dt_, type(date_dt_))2023-08-13 00:00:00 <class 'datetime.datetime'>date_ = date_dt_.date()
print(date_, type(date_))2023-08-13 <class 'datetime.date'>Say the task here is to get all the first day of each month from 2023-01-01 to 2023-12-01.
dates = []
for month in range(1,13):
date = datetime.date(2023, month, 1)
dates.append(date)
print(dates)[datetime.date(2023, 1, 1), datetime.date(2023, 2, 1), datetime.date(2023, 3, 1), datetime.date(2023, 4, 1), datetime.date(2023, 5, 1), datetime.date(2023, 6, 1), datetime.date(2023, 7, 1), datetime.date(2023, 8, 1), datetime.date(2023, 9, 1), datetime.date(2023, 10, 1), datetime.date(2023, 11, 1), datetime.date(2023, 12, 1)]Alternatively, we could just use monthly incremental offered by the relativedelta method in the dateutil package. Compare to method 1, there is no hard-coded year so it could expand across years seamlessly.
from dateutil.relativedelta import relativedelta
from_date = datetime.date(2022,1,1)
to_date = datetime.date(2023,12,1)
current_date = from_date
dates = []
while current_date <= to_date:
dates.append(current_date)
current_date += relativedelta(months = 1)
print(dates)[datetime.date(2022, 1, 1), datetime.date(2022, 2, 1), datetime.date(2022, 3, 1), datetime.date(2022, 4, 1), datetime.date(2022, 5, 1), datetime.date(2022, 6, 1), datetime.date(2022, 7, 1), datetime.date(2022, 8, 1), datetime.date(2022, 9, 1), datetime.date(2022, 10, 1), datetime.date(2022, 11, 1), datetime.date(2022, 12, 1), datetime.date(2023, 1, 1), datetime.date(2023, 2, 1), datetime.date(2023, 3, 1), datetime.date(2023, 4, 1), datetime.date(2023, 5, 1), datetime.date(2023, 6, 1), datetime.date(2023, 7, 1), datetime.date(2023, 8, 1), datetime.date(2023, 9, 1), datetime.date(2023, 10, 1), datetime.date(2023, 11, 1), datetime.date(2023, 12, 1)]Say for whatever reason we want to pick 1 month from every 3 months, that is, we want the 1st, 4th, 7th, 10th etc months. This can be done very easily with enumerate.
selected_dates = []
for i, date in enumerate(dates):
if i % 3 == 0:
print(date)
selected_dates.append(date)2022-01-01
2022-04-01
2022-07-01
2022-10-01
2023-01-01
2023-04-01
2023-07-01
2023-10-01
sessionInfo()R version 4.2.1 (2022-06-23 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19045)
Matrix products: default
locale:
[1] LC_COLLATE=English_Australia.utf8 LC_CTYPE=English_Australia.utf8
[3] LC_MONETARY=English_Australia.utf8 LC_NUMERIC=C
[5] LC_TIME=English_Australia.utf8
attached base packages:
[1] stats graphics grDevices datasets utils methods base
other attached packages:
[1] reticulate_1.30
loaded via a namespace (and not attached):
[1] Rcpp_1.0.11 pillar_1.9.0 compiler_4.2.1 bslib_0.5.0
[5] later_1.3.1 jquerylib_0.1.4 git2r_0.32.0 workflowr_1.7.0
[9] tools_4.2.1 digest_0.6.33 lattice_0.20-45 jsonlite_1.8.7
[13] evaluate_0.21 lifecycle_1.0.3 tibble_3.2.1 png_0.1-8
[17] pkgconfig_2.0.3 rlang_1.1.1 Matrix_1.4-1 cli_3.6.1
[21] rstudioapi_0.15.0 yaml_2.3.7 xfun_0.39 fastmap_1.1.1
[25] withr_2.5.0 stringr_1.5.0 knitr_1.43 fs_1.6.2
[29] vctrs_0.6.3 sass_0.4.7 grid_4.2.1 rprojroot_2.0.3
[33] glue_1.6.2 R6_2.5.1 fansi_1.0.4 rmarkdown_2.23
[37] magrittr_2.0.3 whisker_0.4.1 promises_1.2.0.1 htmltools_0.5.5
[41] renv_1.0.0 httpuv_1.6.11 utf8_1.2.3 stringi_1.7.12
[45] cachem_1.0.8