install MNE via pip (#18)

* install MNE via pip

* fix test on nightly

CondaPkg.toml

@@ -2,10 +2,13 @@ channels = ["anaconda", "conda-forge"]
 
 [deps]
 # Conda package names and versions
-python = ">=3.7,<4"
+python = ">=3.4,<4"
 # see https://mne.tools/stable/install/manual_install.html#installing-mne-python-with-all-dependencies
 # CondaPkg uses mamba by default
-mne = ">=1.0, <2"
+# currently broken when using conda deps
+# xref: https://github.com/beacon-biosignals/PyMNE.jl/issues/17
+# xref: https://github.com/cjdoris/PythonCall.jl/issues/315
+# mne = ">=1.4"
 
 [pip.deps]
-# Pip package names and versions
+mne = ">=1.4"

Project.toml

@@ -1,7 +1,7 @@
 name = "PyMNE"
 uuid = "6c5003b2-cbe8-491c-a0d1-70088e6a0fd6"
 authors = ["Beacon Biosignals, Inc."]
-version = "0.2.1"
+version = "0.2.2"
 
 [deps]
 CondaPkg = "992eb4ea-22a4-4c89-a5bb-47a3300528ab"

README.md

@@ -15,8 +15,7 @@ This package uses [`PythonCall`](https://cjdoris.github.io/PythonCall.jl) to mak
 MNE-Python and its dependencies need to be installed in order for this to work
 and PyMNE will attempt to install when the package is built: this should happen
 more or less automatically via [`CondaPkg`](https://github.com/cjdoris/CondaPkg.jl).
-You can configure various options via `CondaPkg`. MNE-Python is installed via
-Conda, not via pip.
+You can configure various options via `CondaPkg`.
 
 ## Usage
 
@@ -36,7 +35,7 @@ You need to explicitly convert vectors of strings to a `PyList`. For instance
 ```julia
 data = raw.get_data(picks=["Oz","Cz"])
 ```
-does not work, whereas 
+does not work, whereas
 ```julia
 data = raw.get_data(picks=pylist(["Oz","Cz"]))
 ```