pandas
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I'm hoping to get an idea of the memory size of a dask.dataframe once I call .compute() on it
My current approach is
import dask.dataframe as dd
from dask.utils import format_bytes
ddf = dd.demo.make_timeseries(
start="2000-01-01",
end="2000-01-02",
dtypes={"x": float, "y": float, "id": int},
freq="10ms",
partition_freq="24h",
)
format_bytes(ddf.memory_u
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Is your feature request related to a problem? Please describe.
The row_equality_comparator
constructor currently accepts a bool
to indicate if nulls are considered equal or not. In libcudf, we prefer to use scoped enums instead of bools and we already have a [`
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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.
codebasics / py
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What's your use case?
In other words, what's your pain point?
Variable names and their icons are shown as vertical header. This
- is ugly,
- doesn't show the selection properly,
- doesn't allow sorting by variable names,
- doesn't allow selection by dragging across a range of variables (though one can drag across rows in the table itself),
- and possibly something else.
<img wi
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master
hereLocation of the documentation
https://pandas.pydata.org/docs/dev/user_guide/visualization.html#colormaps
Documentation problem
The first paragraph of the Colormaps section finishes with