issues
search
XENON1T
/
pax
The XENON1T raw data processor [deprecated]
BSD 3-Clause "New" or "Revised" License
16
stars
15
forks
source link
Pin multihist to latest version 0.5.4
#698
Closed
pyup-bot
closed
6 years ago
pyup-bot
commented
6 years ago
This PR pins
multihist
to the latest release
0.5.4
.
Changelog
### 0.5.4 ``` ------------------ * Fix issue with input from dask ------------------ ``` ### 0.5.3 ``` ------------------ * Fix python 2 support ------------------ ``` ### 0.5.2 ``` ------------------ * Fix colorbar arguments to Histdd.plot (4) * percentile for Hist1d * rebin method for Histdd (experimental) ------------------ ``` ### 0.5.1 ``` ------------------ * get_random for Histdd no longer just returns bin centers (Hist1d does stil...) * lookup for Hist1d. When will I finally merge the classes... ------------------ ``` ### 0.5.0 ``` ------------------ * pandas.DataFrame and dask.dataframe support * dimensions option to Histdd to init axis_names and bin_centers at once ------------------ ``` ### 0.4.3 ``` ------------------ * Remove matplotlib requirement (still required for plotting features) ------------------ ``` ### 0.4.2 ``` ------------------ * Fix small bug for >=3 d histograms ------------------ ``` ### 0.4.1 ``` ------------------ * get_random and lookup for Histdd. Not really tested yet. ------------------ ``` ### 0.4.0 ``` ------------------ * .std function for Histdd * Fix off-by-one errors ------------------ ``` ### 0.3.0 ``` ------------------ * Several new histdd functions: cumulate, normalize, percentile... * Python 2 compatibility ------------------ ``` ### 0.2.1 ``` ------------------ * Histdd functions sum, slice, average now also work ---------------- ``` ### 0.2 ``` ---------------- * Multidimensional histograms * Axes naming -------------------- ``` ### 0.1.14 ``` -------------------- Correct various rookie mistakes in packaging... Hey, it's my first pypi package! ---------------- ``` ### 0.1 ``` ---------------- Initial release * Hist1d, Hist2d * Basic test suite * Basic readme ```
Links
- PyPI: https://pypi.org/project/multihist - Changelog: https://pyup.io/changelogs/multihist/ - Repo: https://github.com/jelleaalbers/multihist
This PR pins multihist to the latest release 0.5.4.
Changelog
### 0.5.4 ``` ------------------ * Fix issue with input from dask ------------------ ``` ### 0.5.3 ``` ------------------ * Fix python 2 support ------------------ ``` ### 0.5.2 ``` ------------------ * Fix colorbar arguments to Histdd.plot (4) * percentile for Hist1d * rebin method for Histdd (experimental) ------------------ ``` ### 0.5.1 ``` ------------------ * get_random for Histdd no longer just returns bin centers (Hist1d does stil...) * lookup for Hist1d. When will I finally merge the classes... ------------------ ``` ### 0.5.0 ``` ------------------ * pandas.DataFrame and dask.dataframe support * dimensions option to Histdd to init axis_names and bin_centers at once ------------------ ``` ### 0.4.3 ``` ------------------ * Remove matplotlib requirement (still required for plotting features) ------------------ ``` ### 0.4.2 ``` ------------------ * Fix small bug for >=3 d histograms ------------------ ``` ### 0.4.1 ``` ------------------ * get_random and lookup for Histdd. Not really tested yet. ------------------ ``` ### 0.4.0 ``` ------------------ * .std function for Histdd * Fix off-by-one errors ------------------ ``` ### 0.3.0 ``` ------------------ * Several new histdd functions: cumulate, normalize, percentile... * Python 2 compatibility ------------------ ``` ### 0.2.1 ``` ------------------ * Histdd functions sum, slice, average now also work ---------------- ``` ### 0.2 ``` ---------------- * Multidimensional histograms * Axes naming -------------------- ``` ### 0.1.14 ``` -------------------- Correct various rookie mistakes in packaging... Hey, it's my first pypi package! ---------------- ``` ### 0.1 ``` ---------------- Initial release * Hist1d, Hist2d * Basic test suite * Basic readme ```Links
- PyPI: https://pypi.org/project/multihist - Changelog: https://pyup.io/changelogs/multihist/ - Repo: https://github.com/jelleaalbers/multihist