Comments (2)
I'm not 100% sure, but I guess this issue comes from building from source. If you pip download --no-binary :all: --no-dependencies dfply
you'll find the same issue, the diamonds.csv
file is missing from dfply/data/
folder. However downloading the wheel pip download --no-dependencies dfply
, if you inspect the wheel you'll find that the diamonds.csv file is there.
I don't know anything about conda package management, but perhaps they take the result of python setup.py sdist
, which would omit the data file. According to this random SO post, a MANIFEST file should fix things.
https://stackoverflow.com/questions/7522250/how-to-include-package-data-with-setuptools-distribute
from dfply.
I ran into the same error with file missing of diamonds when dfply
library was installed using conda (conda install -c tallic dfply
). In order to resolve this remove library and its dependencies using conda.
Then install using pip under same conda environment.
library installed with pip install
works
from dfply.
Related Issues (20)
- A way to outer_join() by index?
- rename(CUT=X.cut, COLOR='color') - counterintuitive IMO HOT 1
- Liveness of this project HOT 1
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- Performance issue
- NameError: name 'filter_for_jpeg' is not defined
- mutate not support the new variables that created above HOT 2
- Can I use `%in%` operator in dfply framework? HOT 1
- missing cumcount() function in embedded column functions
- unable to aggregate and summarize counts for a categorical variable HOT 1
- When using `spread`, Type error occurs on not callable 'Client' object HOT 1
- Issues to convert to pandas dataframe
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- Issue arranging data after summarising with a new variable HOT 1
- Not taking into account None values in group_by HOT 1
- missing sum() from summary function
- inner_join can not use by this way
- #group_by #mode #iter()
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