Test sphinx codeautolink method chaining

Test sphinx codeautolink method chaining#

import numpy as np
# I'd love two links here but only np.array linked not np.mean:
np.array([[1, 2], [3, 4]]).mean()

np.float64(2.5)

# Single line with multiple links w/o chaining
np.mean(np.array([[1, 2], [3, 4]]))

np.float64(2.5)

a = np.array([[1, 2], [3, 4]])
print(type(a))
a.mean()

<class 'numpy.ndarray'>

np.float64(2.5)

# Another workaround is to type hint and split on multiple lines
a: np.ndarray = np.array([[1, 2], [3, 4]])

a.mean()

np.float64(2.5)

import numpy

numpy.array([[1, 2], [3, 4]]).mean()

np.float64(2.5)

import xarray as xr
da = xr.DataArray(a, dims=["x","y"])
da

<xarray.DataArray (x: 2, y: 2)> Size: 32B
array([[1, 2],
       [3, 4]])
Dimensions without coordinates: x, y

da.isel(x=0).mean()

<xarray.DataArray ()> Size: 8B
array(1.5)

a = da.isel(x=0)
print(type(a))
a.mean()

<class 'xarray.core.dataarray.DataArray'>

<xarray.DataArray ()> Size: 8B
array(1.5)

import pandas as pd

s = pd.Series([1, 3, 5, np.nan, 6, 8])
print(type(s))
s.mean()

<class 'pandas.core.series.Series'>

np.float64(4.6)