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Data visualization
Data visualization is the visual depiction of data through the use of graphs, plots, and informational graphics. Its practitioners use statistics and data science to convey the meaning behind data in ethical and accurate ways.
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Currently, after user editing a metric in Edit dataset modal in Explore, the edited metric jump to the bottom of the metric list.
it create a few issues:
- when the metric list is long, by dropping to the bottom, user might take a while to find it or think the most recent edited metic is lost.
- every time users edit a single metric, they see a different order of metric list showing in the
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In recent versions (can't say from exactly when), there seems to be an off-by-one error in dcc.DatePickerRange. I set max_date_allowed = datetime.today().date(), but in the calendar, yesterday is the maximum date allowed. I see it in my apps, and it is also present in the first example on the DatePickerRange documentation page.
E
Summary
When a function has print('sth', file=sys.stderr) in the body I get:
InternalHashError: [Errno 2] No such file or directory: '<stderr>'
While caching the body of eval_models_on_all_data(), Streamlit encountered an object of type _io.TextIOWrapper, which it does not know how to hash.Steps to reproduce
Code snippet:
@st.cache
def f():
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Jan 25, 2021
The y-axis ticks supports the rotated option, but the doc is missing.
I haven't checked whether other options are missing.
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Test the Column / Text filter
Proposed solution
Add a test for the behavior with
- an exact string, check the number of occurrences
- a partial string, also check the number of occurrences
- Test case sensitive
- Test a regular expression
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Jan 29, 2021 - Jupyter Notebook
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Nov 15, 2020 - JavaScript
When entering a repository path, users should be able to hit TAB for autocomplete, like in bash.
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Oct 27, 2020 - Jupyter Notebook
Tests
it's becoming more time-consuming and error-prone to manually re-test all the demos following internal refactorings and API adjustments.
now that the API is fleshed out a bit, it's possible to test a large amount of code (non-granularly) without having to simulate all interactions via Puppeteer or similar.
a lot of code can already be regression-tested by simply running all the demos and val
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Created by Charles Joseph Minard
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