Comments (5)
Hi @rocodero
You can use the below code to format comma between seconds and milliseconds.
By default Python ISO 8601 Expects a .
But as you have a ,
you can parse the datetime
from datetime import datetime
# Sample datetime string
datetime_str = "2024-06-17T18:57:43,567"
# Define the format
datetime_format = "%Y-%m-%dT%H:%M:%S,%f"
# Parse the datetime string
parsed_datetime = datetime.strptime(datetime_str, datetime_format)
from pandas.
take
from pandas.
You can also follow this link
And use their suggested similar alternative:
date_string.replace(',', '.'))
from pandas.
Hi @Anurag-Varma,
thank you for the suggestions, plenty of options there, I know. I was trying to focus on the bug itself and keep it clean, but if workarounds are appreciated I can add them in the future.
What I forgot to add, though: It's only present since pandas 2.2. Version 2.1.4 parses the comma-separated milliseconds without problems.
from pandas.
thanks @rocodero for the report
aside from whether it should parse or not, it looks pretty wild to me that
In [6]: t
Out[6]: Timestamp('2024-06-17 18:57:43.567000')
In [7]: t.unit
Out[7]: 's'
In [8]: t.microsecond
Out[8]: 567000
it records non-zero microseconds but has 's' unit
looks like it's going down the dateutil path
In [9]: pd.to_datetime(['2024-06-17T18:57:43,567']*2)
<ipython-input-9-ad2044f68d63>:1: UserWarning: Could not infer format, so each element will be parsed individually, falling back to `dateutil`. To ensure parsing is consistent and as-expected, please specify a format.
pd.to_datetime(['2024-06-17T18:57:43,567']*2)
Out[9]: DatetimeIndex(['2024-06-17 18:57:43', '2024-06-17 18:57:43'], dtype='datetime64[ns]', freq=None)
from pandas.
Related Issues (20)
- BUG: OverflowError: value too large to convert to int when manipulating very large dataframes HOT 6
- DOC: Wrong bug number in what's new v3.0.0 HOT 3
- ENH: Checking gaps for time series HOT 2
- ENH: Support non-categorical values for pandas bar plots when x axis is datetime values HOT 2
- ENH: In pandas.testing.assert_frame_equal, support per-column configuration HOT 5
- DOC: read_csv: date_format HOT 2
- ENH: Breakpoint method for dataframes HOT 1
- BUG: inconsistency when `read_csv` reads MultiIndex with empty values HOT 1
- BUG: .str.contains `na` validation HOT 4
- ENH: Option to configure line wrapping for columns HOT 4
- BUG: inconsistent indices in `GroupByRolling` when selecting or not selecting subset of columns HOT 1
- BUG: provide better error message for pd.Timedelta - pd.Series[Timestamp] HOT 4
- BUG: Wrong result of Kurtosis HOT 2
- BUG: StringDtype conversion to bool changes False to True HOT 3
- Development with Visual Studio Tools 2022 not possible? HOT 2
- ERR: consistent error messages for unsupported reduction operations
- ENH: `DataFrame.struct.explode(column, *, separator=".")` method to pull struct subfields into the parent DataFrame HOT 2
- BUG: `to_markdown` raises `ValueError` when values are `np.array`s with more than one element HOT 3
- DOC: fix docstring validation errors for pandas.Series HOT 6
- ENH: Drop list menu lost when reading xlsx files from pandas HOT 3
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from pandas.