Joris Van den Bossche
Joris Van den Bossche
_Originally posted by @humitos in https://github.com/pandas-dev/pydata-sphinx-theme/pull/95#issuecomment-609067871_ FYI, I changed the way that we are handling this in sphinx-hoverxref for a more permissive way. Instead of overriding the translator completely, I'm...
If you need require.js, or there is some other extension that includes require.js (the example case was nbsphinx including require.js, see https://github.com/pandas-dev/pandas-sphinx-theme/issues/25, https://github.com/pandas-dev/pandas-sphinx-theme/commit/32e12def143454ae4bea7ca7a0f2ddf554345898), then that breaks all javascript (*"Error: Mismatched...
Related to https://github.com/geopandas/geopandas/issues/491 (exploration of ways to make data ingestion faster in geopandas) Currently `fiona` exposes a model where you access access the data by records (eg by iterating over...
Context: * Datashader requires plain arrays of coordinates ("ragged arrays" in case of lines/polygons, with additional offset/indices arrays) to efficiently visualize geometries (and this is also the representation that SpatialPandas...
From a report on the pandas issue tracker (https://github.com/pandas-dev/pandas/issues/35404), it seems zipline is using a private pandas utility: https://github.com/quantopian/zipline/blob/d74ba5a163328e89b321692b621a68c140f1a8be/zipline/utils/pandas_utils.py#L222-L224 (anything in `pandas.core` is considered private, see https://pandas.pydata.org/docs/reference/index.html
In the Apache Arrow C++ project, we have been working the last moths on a Dataset API (original design document: https://docs.google.com/document/d/1bVhzifD38qDypnSjtf8exvpP3sSB5x_Kw9m-n66FB2c/edit). A first iteration with python bindings is available in...
Using jupyter-sphinx pydata-sphinx-theme docs (https://pydata-sphinx-theme.readthedocs.io/en/latest/), I noticed that it gives errors in the browser console related to thebe css/js: ``` /_static/thebelab.css(127.0.0.1) | Failed to load resource: the server responded with...
Consider the following example: ``` import numpy as np import numexpr as na ``` The power operation with an integer array and a scalar works: ``` In [60]: array =...
I just noticed that when the argument engine="pyarrow" is provided to `to_parquet()` the write still fails with the same error. ``` import pandas as pd import geopandas as gpd import...
When creating a GeoDataFrame from a dask dataframe, we could pass through the `crs` keyword to the underlying geopandas.GeoDataFrame constructor: https://github.com/geopandas/dask-geopandas/blob/5b49377352658e15c34cb38a43b18fcc8f833ccb/dask_geopandas/core.py#L770-L783 That avoids that you need to do a `set_crs`...