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Posted to jira@arrow.apache.org by "Dragoș Moldovan-Grünfeld (Jira)" <ji...@apache.org> on 2022/03/16 11:15:00 UTC
[jira] [Created] (ARROW-15948) [C++] strptime rolls-over dates not in range for current month
Dragoș Moldovan-Grünfeld created ARROW-15948:
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Summary: [C++] strptime rolls-over dates not in range for current month
Key: ARROW-15948
URL: https://issues.apache.org/jira/browse/ARROW-15948
Project: Apache Arrow
Issue Type: Bug
Components: C++, Python, R
Reporter: Dragoș Moldovan-Grünfeld
I noticed some potentially unexpected behaviour when converting from string to date. Days that are out of bounds for the given month are rolled over into the following month.
I think the expected behaviour would be to either error (Python) or return NULL/NA (R), but not to roll over dates in the following month.
{code:r}
library(arrow, warn.conflicts = FALSE)
library(lubridate, warn.conflicts = FALSE)
library(dplyr, warn.conflicts = FALSE)
df <- tibble::tibble(string_date = "1999-02-30")
# base R returns NA
df %>%
mutate(date = strptime(string_date, format = "%Y-%m-%d"))
#> # A tibble: 1 × 2
#> string_date date
#> <chr> <dttm>
#> 1 1999-02-30 NA
# arrow rolls over the 30th of February into the 2nd of March
df %>%
arrow_table() %>%
mutate(date = strptime(string_date, format = "%Y-%m-%d")) %>%
collect()
#> # A tibble: 1 × 2
#> string_date date
#> <chr> <dttm>
#> 1 1999-02-30 1999-03-02 00:00:00
{code}
Thanks Alenka, Joris and Rok for helping me with the Python examples:
pandas:
{code:python}
>>> import pandas as pd
>>> pd.to_datetime("1999-02-30", format="%Y-%m-%d")
...
ValueError: time data 1999-02-30 doesn't match format specified
{code}
datetime:
{code:python}
>>> import datetime
>>> from datetime import datetime
>>> datetime.strptime("1999-02-30", "%Y-%m-%d")
...
ValueError: day is out of range for month
{code}
arrow:
{code:python}
>>> import pyarrow.compute as pc
>>> print(pc.strptime("1999-02-30", format="%Y-%m-%d", unit="s"))
1999-03-02 00:00:00
{code}
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