pandas
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f-strings offer better readability/performance than str.format and %, so we should use them in all places in our codebase unless there is good reason to keep the older syntax.
NOTE FOR CONTRIBUTORS: To avoid large PRs and possible merge conflicts, do 1-3 modules per PR. Also, feel free to ignore the files located under
datasets/*.
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I'd like us to add some extra information to the dask docs around the block_info keyword argument for Dask array map_blocks. I think it should be added to this section here
Marvin explained something I found confusing here VolkerH/DaskFusion#1 (comment)
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- Base README.md
- Quizzes
- Introduction base README
- Defining Data Science README
- Defining Data Science assignment
- Ethics README
- Ethics assignment
- Defining Data README
- Defining Data assignment
- Stats and Probability README
- Stats and Probability assignment
- Working with Data base README
- Rel
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For pandas API compatibility, we can implement Series.autocorr. autocorr calculates the Pearson correlation between the Series and itself lagged by N steps. Conceptually, this is a combination of shift and corr.
import pandas as pd
s = pd.Series([0.25, 0.5, 0.2, -0.05])
print(s.autocorr())
print(s-
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codebasics / py
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Reading currencies, alphavantage returns a greeting note ("welcome") and this note raises an error in alphavantage.py line 363.
elif "Note" in json_response and self.treat_info_as_error:
raise ValueError(json_response["Note"])
For this reason, alphavantage does not work in home assistant.
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please check now and improve your designing
thanks regards,
pragnesh patel