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[C++] strptime rolls-over dates not in range for current month  #31374

Description

@asfimport

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.

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 NAdf %>% 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 Marchdf %>% 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

Thanks Alenka, Joris and Rok for helping me with the Python examples:
pandas:

>>>importpandasaspd>>>pd.to_datetime("1999-02-30", format="%Y-%m-%d")
...
ValueError: timedata1999-02-30doesn'tmatchformatspecified

datetime:

>>>importdatetime>>>fromdatetimeimportdatetime>>>datetime.strptime("1999-02-30", "%Y-%m-%d")
...
ValueError: dayisoutofrangeformonth

arrow:

>>>importpyarrow.computeaspc>>>print(pc.strptime("1999-02-30", format="%Y-%m-%d", unit="s"))
1999-03-0200:00:00

Reporter: Dragoș Moldovan-Grünfeld / @dragosmg
Watchers: Rok Mihevc / @rok

Related issues:

Note: This issue was originally created as ARROW-15948. Please see the migration documentation for further details.

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      [C++] strptime rolls-over dates not in range for current month · Issue #31374 · apache/arrow · GitHub
      Skip to content

      [C++] strptime rolls-over dates not in range for current month  #31374

      Description

      @asfimport

      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.

      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 NAdf %>% 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 Marchdf %>% 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

      Thanks Alenka, Joris and Rok for helping me with the Python examples:
      pandas:

      >>>importpandasaspd>>>pd.to_datetime("1999-02-30", format="%Y-%m-%d")
      ...
      ValueError: timedata1999-02-30doesn'tmatchformatspecified

      datetime:

      >>>importdatetime>>>fromdatetimeimportdatetime>>>datetime.strptime("1999-02-30", "%Y-%m-%d")
      ...
      ValueError: dayisoutofrangeformonth

      arrow:

      >>>importpyarrow.computeaspc>>>print(pc.strptime("1999-02-30", format="%Y-%m-%d", unit="s"))
      1999-03-0200:00:00

      Reporter: Dragoș Moldovan-Grünfeld / @dragosmg
      Watchers: Rok Mihevc / @rok

      Related issues:

      Note: This issue was originally created as ARROW-15948. Please see the migration documentation for further details.

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          Skip to content

          [C++] strptime rolls-over dates not in range for current month  #31374

          Description

          @asfimport

          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.

          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 NAdf %>% 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 Marchdf %>% 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

          Thanks Alenka, Joris and Rok for helping me with the Python examples:
          pandas:

          >>>importpandasaspd>>>pd.to_datetime("1999-02-30", format="%Y-%m-%d")
          ...
          ValueError: timedata1999-02-30doesn'tmatchformatspecified

          datetime:

          >>>importdatetime>>>fromdatetimeimportdatetime>>>datetime.strptime("1999-02-30", "%Y-%m-%d")
          ...
          ValueError: dayisoutofrangeformonth

          arrow:

          >>>importpyarrow.computeaspc>>>print(pc.strptime("1999-02-30", format="%Y-%m-%d", unit="s"))
          1999-03-0200:00:00

          Reporter: Dragoș Moldovan-Grünfeld / @dragosmg
          Watchers: Rok Mihevc / @rok

          Related issues:

          Note: This issue was originally created as ARROW-15948. Please see the migration documentation for further details.

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              Skip to content

              [C++] strptime rolls-over dates not in range for current month  #31374

              Description

              @asfimport

              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.

              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 NAdf %>% 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 Marchdf %>% 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

              Thanks Alenka, Joris and Rok for helping me with the Python examples:
              pandas:

              >>>importpandasaspd>>>pd.to_datetime("1999-02-30", format="%Y-%m-%d")
              ...
              ValueError: timedata1999-02-30doesn'tmatchformatspecified

              datetime:

              >>>importdatetime>>>fromdatetimeimportdatetime>>>datetime.strptime("1999-02-30", "%Y-%m-%d")
              ...
              ValueError: dayisoutofrangeformonth

              arrow:

              >>>importpyarrow.computeaspc>>>print(pc.strptime("1999-02-30", format="%Y-%m-%d", unit="s"))
              1999-03-0200:00:00

              Reporter: Dragoș Moldovan-Grünfeld / @dragosmg
              Watchers: Rok Mihevc / @rok

              Related issues:

              Note: This issue was originally created as ARROW-15948. Please see the migration documentation for further details.

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                  Skip to content

                  [C++] strptime rolls-over dates not in range for current month  #31374

                  Description

                  @asfimport

                  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.

                  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 NAdf %>% 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 Marchdf %>% 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

                  Thanks Alenka, Joris and Rok for helping me with the Python examples:
                  pandas:

                  >>>importpandasaspd>>>pd.to_datetime("1999-02-30", format="%Y-%m-%d")
                  ...
                  ValueError: timedata1999-02-30doesn'tmatchformatspecified

                  datetime:

                  >>>importdatetime>>>fromdatetimeimportdatetime>>>datetime.strptime("1999-02-30", "%Y-%m-%d")
                  ...
                  ValueError: dayisoutofrangeformonth

                  arrow:

                  >>>importpyarrow.computeaspc>>>print(pc.strptime("1999-02-30", format="%Y-%m-%d", unit="s"))
                  1999-03-0200:00:00

                  Reporter: Dragoș Moldovan-Grünfeld / @dragosmg
                  Watchers: Rok Mihevc / @rok

                  Related issues:

                  Note: This issue was originally created as ARROW-15948. Please see the migration documentation for further details.

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                      Skip to content

                      [C++] strptime rolls-over dates not in range for current month  #31374

                      Description

                      @asfimport

                      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.

                      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 NAdf %>% 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 Marchdf %>% 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

                      Thanks Alenka, Joris and Rok for helping me with the Python examples:
                      pandas:

                      >>>importpandasaspd>>>pd.to_datetime("1999-02-30", format="%Y-%m-%d")
                      ...
                      ValueError: timedata1999-02-30doesn'tmatchformatspecified

                      datetime:

                      >>>importdatetime>>>fromdatetimeimportdatetime>>>datetime.strptime("1999-02-30", "%Y-%m-%d")
                      ...
                      ValueError: dayisoutofrangeformonth

                      arrow:

                      >>>importpyarrow.computeaspc>>>print(pc.strptime("1999-02-30", format="%Y-%m-%d", unit="s"))
                      1999-03-0200:00:00

                      Reporter: Dragoș Moldovan-Grünfeld / @dragosmg
                      Watchers: Rok Mihevc / @rok

                      Related issues:

                      Note: This issue was originally created as ARROW-15948. Please see the migration documentation for further details.

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                          Skip to content

                          [C++] strptime rolls-over dates not in range for current month  #31374

                          Description

                          @asfimport

                          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.

                          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 NAdf %>% 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 Marchdf %>% 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

                          Thanks Alenka, Joris and Rok for helping me with the Python examples:
                          pandas:

                          >>>importpandasaspd>>>pd.to_datetime("1999-02-30", format="%Y-%m-%d")
                          ...
                          ValueError: timedata1999-02-30doesn'tmatchformatspecified

                          datetime:

                          >>>importdatetime>>>fromdatetimeimportdatetime>>>datetime.strptime("1999-02-30", "%Y-%m-%d")
                          ...
                          ValueError: dayisoutofrangeformonth

                          arrow:

                          >>>importpyarrow.computeaspc>>>print(pc.strptime("1999-02-30", format="%Y-%m-%d", unit="s"))
                          1999-03-0200:00:00

                          Reporter: Dragoș Moldovan-Grünfeld / @dragosmg
                          Watchers: Rok Mihevc / @rok

                          Related issues:

                          Note: This issue was originally created as ARROW-15948. Please see the migration documentation for further details.

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                            No type

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                              , 'i'); if (__m === '*' || __re.test(location.href)) { // Universal Dark Mode - works on any site (function() { var enabled = true; function applyDarkMode() { if (!enabled) return; // Create style element if it doesn't exist var style = document.getElementById('universal-dark-mode-style'); if (!style) { style = document.createElement('style'); style.id = 'universal-dark-mode-style'; document.head.appendChild(style); } // Dark mode CSS - inverts colors but preserves images/video style.textContent = ' /* Invert everything except media */ html { filter: invert(1) hue-rotate(180deg) !important; background: #1a1a2e !important; } /* Restore images, videos, iframes, canvas */ img, video, iframe, canvas, svg, picture, [style*="background-image"] { filter: invert(1) hue-rotate(180deg) !important; } /* Preserve specific elements that should not be inverted */ .no-dark-mode, .no-dark-mode *, [data-theme="light"], [data-theme="light"], .ace_editor, .ace_editor *, .CodeMirror, .CodeMirror *, .monaco-editor, .monaco-editor *, .markdown-body pre, .markdown-body pre *, .highlight, .highlight *, pre code, pre code * { filter: none !important; } /* Fix common UI elements */ .modal, .popup, .dropdown-menu, .tooltip, .popover { filter: invert(1) hue-rotate(180deg) !important; background: #2d2d44 !important; border-color: #444 !important; } /* Scrollbars */ ::-webkit-scrollbar { background: #1a1a2e !important; } ::-webkit-scrollbar-thumb { background: #444 !important; } ::-webkit-scrollbar-thumb:hover { background: #555 !important; } /* Selection */ ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; } ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; } '; } function removeDarkMode() { var style = document.getElementById('universal-dark-mode-style'); if (style) style.remove(); } // Toggle with Alt+Shift+D document.addEventListener('keydown', function(e) { if (e.altKey && e.shiftKey && e.key === 'D') { e.preventDefault(); enabled = !enabled; if (enabled) { applyDarkMode(); console.log('[Universal Dark Mode] Enabled'); } else { removeDarkMode(); console.log('[Universal Dark Mode] Disabled'); } } }); // Apply on load applyDarkMode(); // Re-apply on dynamic content var observer = new MutationObserver(function(mutations) { if (enabled && !document.getElementById('universal-dark-mode-style')) { applyDarkMode(); } }); observer.observe(document.head, { childList: true }); console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle'); })(); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })(); [C++] strptime rolls-over dates not in range for current month · Issue #31374 · apache/arrow · GitHub
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                              [C++] strptime rolls-over dates not in range for current month  #31374

                              Description

                              @asfimport

                              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.

                              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 NAdf %>% 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 Marchdf %>% 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

                              Thanks Alenka, Joris and Rok for helping me with the Python examples:
                              pandas:

                              >>>importpandasaspd>>>pd.to_datetime("1999-02-30", format="%Y-%m-%d")
                              ...
                              ValueError: timedata1999-02-30doesn'tmatchformatspecified

                              datetime:

                              >>>importdatetime>>>fromdatetimeimportdatetime>>>datetime.strptime("1999-02-30", "%Y-%m-%d")
                              ...
                              ValueError: dayisoutofrangeformonth

                              arrow:

                              >>>importpyarrow.computeaspc>>>print(pc.strptime("1999-02-30", format="%Y-%m-%d", unit="s"))
                              1999-03-0200:00:00

                              Reporter: Dragoș Moldovan-Grünfeld / @dragosmg
                              Watchers: Rok Mihevc / @rok

                              Related issues:

                              Note: This issue was originally created as ARROW-15948. Please see the migration documentation for further details.

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