jreback on main
CI: Fix failing CI for test_ali… (compare)
Contributors can’t self assing. That would have to be done by maintainers. But I don’t think it’d be possible for us to keep them up to date. So I’d also be happy to hear how that can be improved.
It’d be nice if GitHub had a way to filter based on whether a PR says it’ll close an issue.
sum, I loose precision. Recasting before works perfectly and takes no time. But it looks bad, I wonder if adding the arg
recast_floatwould be a welcome addition to aggregation functions.
invisiblecharacters which are not null. Sometimes visualizing the file in Excel just increases frustration, you can open the file in your editor to find the true value of them, or use
ilocand target those rows and columns to get the value in that cell and then you can filter that out
(pandas-dev) Mathews-MacBook-Pro:cpython mathewgeorge$ python3 Python 3.7.2 (v3.7.2:9a3ffc0492, Dec 24 2018, 02:44:43) [Clang 6.0 (clang-600.0.57)] on darwin Type "help", "copyright", "credits" or "license" for more information. >>> import pandas Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/Users/mathewgeorge/projects/my_projects/pandas/pandas/__init__.py", line 55, in <module> from pandas.core.api import ( File "/Users/mathewgeorge/projects/my_projects/pandas/pandas/core/api.py", line 5, in <module> from pandas.core.arrays.integer import ( File "/Users/mathewgeorge/projects/my_projects/pandas/pandas/core/arrays/__init__.py", line 1, in <module> from .base import ( # noqa: F401 File "/Users/mathewgeorge/projects/my_projects/pandas/pandas/core/arrays/base.py", line 14, in <module> from pandas.compat.numpy import function as nv File "/Users/mathewgeorge/projects/my_projects/pandas/pandas/compat/numpy/function.py", line 28, in <module> from pandas.util._validators import ( File "/Users/mathewgeorge/projects/my_projects/pandas/pandas/util/__init__.py", line 3, in <module> from pandas.core.util.hashing import hash_array, hash_pandas_object # noqa File "/Users/mathewgeorge/projects/my_projects/pandas/pandas/core/util/hashing.py", line 11, in <module> from pandas.core.dtypes.cast import infer_dtype_from_scalar File "/Users/mathewgeorge/projects/my_projects/pandas/pandas/core/dtypes/cast.py", line 9, in <module> from pandas.util._validators import validate_bool_kwarg File "/Users/mathewgeorge/projects/my_projects/pandas/pandas/util/_validators.py", line 7, in <module> from pandas.core.dtypes.common import is_bool File "/Users/mathewgeorge/projects/my_projects/pandas/pandas/core/dtypes/common.py", line 11, in <module> from pandas.core.dtypes.dtypes import ( File "/Users/mathewgeorge/projects/my_projects/pandas/pandas/core/dtypes/dtypes.py", line 17, in <module> from .inference import is_bool, is_list_like File "/Users/mathewgeorge/projects/my_projects/pandas/pandas/core/dtypes/inference.py", line 26, in <module> is_list_like = lib.is_list_like AttributeError: module 'pandas._libs.lib' has no attribute 'is_list_like'
slackchannel for that?
git fetch upstream && git merge upstream/master), and in the root of the project run
conda env updateif you already have a conda environment, or
conda env createif you don't. Then a
python setup.py build_ext --inplace --forceshould work, otherwise there is something weird going on