Skip to content

Conversation

@datapythonista
Copy link
Member

I didn't add or remove any dependency here. I think it makes more sense to keep exactly the same here that the diff is not so clear, and make changes in a follow up PR if needed.

CC: @jreback @TomAugspurger @jorisvandenbossche

@datapythonista datapythonista added the Dependencies Required and optional dependencies label Jun 6, 2019
- mypy
- pycodestyle # used by flake8
- pip:
- cpplint
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

This seems to be available through conda-forge, if we want to switch to that: https://anaconda.org/conda-forge/cpplint. Understood if you want to keep this a purely a reorganization though.

environment.yml Outdated
- ipywidgets
- nbformat
- notebook>=5.7.5
- python-snappy
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

This would be for parquet. In the past there was an issue with either pyarrow or fastpaquet essentially requiring snappy compression (I don't recall the details).

- statsmodels

# unused (required indirectly may be?)
- ipywidgets
Copy link
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

I don't recall why this was necessary.

@datapythonista
Copy link
Member Author

Fixed python-snappy. Good to know cpplint is in conda-forge now, I'll move it, but in a follow up (too many weird errors in the CI and with dependencies lately, I prefer to keep these changes very focused).

@jreback jreback added this to the 0.25.0 milestone Jun 6, 2019
@codecov
Copy link

codecov bot commented Jun 6, 2019

Codecov Report

Merging #26691 into master will decrease coverage by 50.11%.
The diff coverage is n/a.

Impacted file tree graph

@@             Coverage Diff             @@
##           master   #26691       +/-   ##
===========================================
- Coverage   91.87%   41.76%   -50.12%     
===========================================
  Files         174      174               
  Lines       50661    50661               
===========================================
- Hits        46547    21157    -25390     
- Misses       4114    29504    +25390
Flag Coverage Δ
#multiple ?
#single 41.76% <ø> (-0.11%) ⬇️
Impacted Files Coverage Δ
pandas/io/formats/latex.py 0% <0%> (-100%) ⬇️
pandas/io/sas/sas_constants.py 0% <0%> (-100%) ⬇️
pandas/core/groupby/categorical.py 0% <0%> (-100%) ⬇️
pandas/tseries/plotting.py 0% <0%> (-100%) ⬇️
pandas/tseries/converter.py 0% <0%> (-100%) ⬇️
pandas/io/formats/html.py 0% <0%> (-99.37%) ⬇️
pandas/io/sas/sas7bdat.py 0% <0%> (-91.16%) ⬇️
pandas/io/sas/sas_xport.py 0% <0%> (-90.1%) ⬇️
pandas/core/sparse/scipy_sparse.py 10.14% <0%> (-89.86%) ⬇️
pandas/core/tools/numeric.py 10.14% <0%> (-89.86%) ⬇️
... and 128 more

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 891a419...f398166. Read the comment docs.

@codecov
Copy link

codecov bot commented Jun 6, 2019

Codecov Report

Merging #26691 into master will decrease coverage by <.01%.
The diff coverage is n/a.

Impacted file tree graph

@@            Coverage Diff             @@
##           master   #26691      +/-   ##
==========================================
- Coverage   91.87%   91.87%   -0.01%     
==========================================
  Files         174      174              
  Lines       50661    50694      +33     
==========================================
+ Hits        46547    46577      +30     
- Misses       4114     4117       +3
Flag Coverage Δ
#multiple 90.41% <ø> (ø) ⬆️
#single 41.92% <ø> (+0.05%) ⬆️
Impacted Files Coverage Δ
pandas/io/gbq.py 78.94% <0%> (-10.53%) ⬇️
pandas/core/frame.py 97% <0%> (-0.12%) ⬇️
pandas/core/arrays/integer.py 96.3% <0%> (-0.05%) ⬇️
pandas/core/dtypes/base.py 100% <0%> (ø) ⬆️
pandas/core/indexes/base.py 96.72% <0%> (ø) ⬆️
pandas/core/dtypes/dtypes.py 97.54% <0%> (+0.2%) ⬆️
pandas/core/indexes/interval.py 96.42% <0%> (+0.22%) ⬆️

Continue to review full report at Codecov.

Legend - Click here to learn more
Δ = absolute <relative> (impact), ø = not affected, ? = missing data
Powered by Codecov. Last update 891a419...f398166. Read the comment docs.

@jreback
Copy link
Contributor

jreback commented Jun 6, 2019

are we actually testing this anywhere? IOW do we create an environment based on this?

@datapythonista
Copy link
Member Author

yes, the Checks environment on Azure uses it

@jreback
Copy link
Contributor

jreback commented Jun 6, 2019

@datapythonista great, merge on green.

@datapythonista datapythonista merged commit c9c6c22 into pandas-dev:master Jun 6, 2019
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

Dependencies Required and optional dependencies

Projects

None yet

Development

Successfully merging this pull request may close these issues.

DEPS: Group dependencies and provide information of why they are required

3 participants