mathause

import scipy as sp
import xarray as xr
import statsmodels as sm
import numpy as np
import statsmodels.stats.multitest


def mannwhitney(da1, da2, dim="time", global_alpha=0.05):
    """xarray wrapper for Mann-Whitney U test

mathause

import numpy as np


def wrap360(obj, lon='lon'):
    """
    wrap longitude coordinates to 0..360

    Parameters
    ----------
    obj : xr.Dataset or xr.DataArray

mathause

def lon_to_180(ds, lon_coords="lon"):

    # https://git.iac.ethz.ch/utility_functions/utility_functions_python/-/blob/master/xarray.py#L149

    lon_orig = ds[lon_coords]

    if lon_orig.ndim != 1:
        raise ValueError("Currently only handels 1D grids")

    with xr.set_options(keep_attrs=True):

mathause

import scipy as sp
import xarray as xr

ds = xr.tutorial.open_dataset('air_temperature').load()
ds = ds.air

xr.__version__

def mannwhitney_(v1, v2):

mathause

#!/bin/bash

# configuration

dest_env=iacpy3_2019

# change to true to show which packages are installed with 'pip -e'
check_devel=false

# maybe print hostname

mathause

def time_middle_of_month(beg, end=None, periods=None):
    """ create vector with timestamps in the middle of the month

    Parameters
    ----------
    beg : date or date vector
        Start date. If end is not given and beg is a vector, uses first
        entry a start date and last entry as end date.
    end : date
        If given used as end date.