[Mne_analysis] Mne_analysis Digest, Vol 148, Issue 7
Dan McCloy
dan at mccloy.info
Tue May 5 12:30:09 EDT 2020
External Email - Use Caution
Hi Afo,
The "environment file" is a single text file that lists the packages and versions needed. If you **download that one text file (environment.yml)** and follow the rest of Alex's instructions, you don't need to manually download the individual packages one by one; the conda command in step 4 will download them for you automatically (as long as you change directory first, to the location where you downloaded environment.yml).
-- dan
Daniel McCloy
https://dan.mccloy.info
Research Scientist
Institute for Learning and Brain Sciences
University of Washington
‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐
On Tuesday, May 5, 2020 4:18 AM, afo tarraf <afotarraf at hotmail.com> wrote:
> External Email - Use Caution
>
> Hi Alex,
>
> Sorry if I am not clear in the question, I will reply by read color text to your answer
> and please consider it because I would like to make a perfect installation, because lot of time have been lost due to my first installation, which have always error not related to mne, because the system output for mne is ok, while the erorr in numpy, matliplot, dll not found,..etc
>
> doc says for windows:
>
> 1 Download the base environment file
> <https://raw.githubusercontent.com/mne-tools/mne-python/master/environment.yml>
> -
> How? one by one? or there is automatic command to download all?
>
> 2 Open an Anaconda command prompt
> -OK
> 3 cd to the directory where you downloaded the file
> -which file?, do you mean the files that I downloaded in stedp 1?? for example cd anaconda/path to the files?
> 4 Run conda env update --file environment.yml
>
> what is the important of this step , since in my first installation I did not make it, it works, why it works without this step? then I decided to remove every thing and reinstall
>
> Thanks
> Afo
>
> ---------------------------------------------------------------
>
> From: mne_analysis-bounces at nmr.mgh.harvard.edu <mne_analysis-bounces at nmr.mgh.harvard.edu> on behalf of mne_analysis-request at nmr.mgh.harvard.edu <mne_analysis-request at nmr.mgh.harvard.edu>
> Sent: Tuesday, May 5, 2020 12:29 PM
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> Subject: Mne_analysis Digest, Vol 148, Issue 7
>
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> 1. Re: Mne_analysis Digest, Vol 148, Issue 6 (afo tarraf)
> 2. Re: Mne_analysis Digest, Vol 148, Issue 6 (Alexandre Gramfort)
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Tue, 5 May 2020 09:24:19 +0000
> From: afo tarraf <afotarraf at hotmail.com>
> Subject: Re: [Mne_analysis] Mne_analysis Digest, Vol 148, Issue 6
> To: "mne_analysis at nmr.mgh.harvard.edu"
> <mne_analysis at nmr.mgh.harvard.edu>
> Message-ID:
> <LNXP265MB1226CA05F95BDA82B17E1032B5A70 at LNXP265MB1226.GBRP265.PROD.OUTLOOK.COM>
>
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>
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>
> I read the link, but you list lot of libraries, my question
> downloading one by one manually? pip install each one??
> or what is the automatic way?? in window I am, and yes I used anaconda as you recommend
> ________________________________
> From: mne_analysis-bounces at nmr.mgh.harvard.edu <mne_analysis-bounces at nmr.mgh.harvard.edu> on behalf of mne_analysis-request at nmr.mgh.harvard.edu <mne_analysis-request at nmr.mgh.harvard.edu>
> Sent: Tuesday, May 5, 2020 11:58 AM
> To: mne_analysis at nmr.mgh.harvard.edu <mne_analysis at nmr.mgh.harvard.edu>
> Subject: Mne_analysis Digest, Vol 148, Issue 6
>
> Send Mne_analysis mailing list submissions to
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> Today's Topics:
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> 1. simple installation (afo tarraf)
> 2. Re: simple installation (Francesco Mattioli)
> 3. Re: simple installation (Alexandre Gramfort)
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Tue, 5 May 2020 08:41:21 +0000
> From: afo tarraf <afotarraf at hotmail.com>
> Subject: [Mne_analysis] simple installation
> To: "mne_analysis at nmr.mgh.harvard.edu"
> <mne_analysis at nmr.mgh.harvard.edu>
> Message-ID:
> <LNXP265MB1226DEBCBF3FCD0D77CCEBFCB5A70 at LNXP265MB1226.GBRP265.PROD.OUTLOOK.COM>
>
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>
> Hi,
>
> Download the base environment file<https://raw.githubusercontent.com/mne-tools/mne-python/master/environment.yml>
>
> name: base
> channels:
> - defaults
> dependencies:
> - python>=3.5
> - pip
> - mkl
> - numpy
> - scipy
> - matplotlib
> - numba
>
> .
> .
> .
> each of those I should install one bye one, or there is a command to install it at once in window?
>
> Best regards
> Afo
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> Message: 2
> Date: Tue, 5 May 2020 10:49:03 +0200
> From: Francesco Mattioli <francesco.mttl at gmail.com>
> Subject: Re: [Mne_analysis] simple installation
> To: Discussion and support forum for the users of MNE Software
> <mne_analysis at nmr.mgh.harvard.edu>
> Message-ID:
> <CABMcZVBN2omDBLV4jBoJiYBgBQmyP7zZ92Zo+Piph1aLw-_+AQ at mail.gmail.com>
> Content-Type: text/plain; charset="utf-8"
>
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>
> are you using anaconda?
>
> Francesco Mattioli
>
> I'm trying to work without distractions. If I do not respond immediately,
> drink a cup of tea and be patient. Great ideas need deep work!
>
> ?
>
> Il giorno mar 5 mag 2020 alle ore 10:42 afo tarraf <afotarraf at hotmail.com>
> ha scritto:
>
>> External Email - Use Caution
>>
>> Hi,
>>
>> Download the base environment file
>> <https://raw.githubusercontent.com/mne-tools/mne-python/master/environment.yml>
>>
>> name: base
>> channels:
>> - defaults
>> dependencies:
>> - python>=3.5
>> - pip
>> - mkl
>> - numpy
>> - scipy
>> - matplotlib
>> - numba
>>
>> .
>> .
>> .
>> each of those I should install one bye one, or there is a command to
>> install it at once in window?
>>
>> Best regards
>> Afo
>> _______________________________________________
>> Mne_analysis mailing list
>> Mne_analysis at nmr.mgh.harvard.edu
>> https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis
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> Message: 3
> Date: Tue, 5 May 2020 10:58:39 +0200
> From: Alexandre Gramfort <alexandre.gramfort at inria.fr>
> Subject: Re: [Mne_analysis] simple installation
> To: Discussion and support forum for the users of MNE Software
> <mne_analysis at nmr.mgh.harvard.edu>
> Message-ID:
> <CADeotZqwpM--JnHNDhaxkb-HMzd4vtNWgTMUx52+EfYB7T8N_w at mail.gmail.com>
> Content-Type: text/plain; charset="utf-8"
>
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>
> please have a look at:
>
> https://mne.tools/stable/install/mne_python.html#installing-mne-python-and-its-dependencies
>
> A
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> Message: 2
> Date: Tue, 5 May 2020 11:28:53 +0200
> From: Alexandre Gramfort <alexandre.gramfort at inria.fr>
> Subject: Re: [Mne_analysis] Mne_analysis Digest, Vol 148, Issue 6
> To: Discussion and support forum for the users of MNE Software
> <mne_analysis at nmr.mgh.harvard.edu>
> Message-ID:
> <CADeotZpb+kwRV6XdGZOeJkxq3OVviPO9GyTndTVt+SjsOiqP2w at mail.gmail.com>
> Content-Type: text/plain; charset="utf-8"
>
> External Email - Use Caution
>
> doc says for windows:
>
> -
>
> Download the base environment file
> <https://raw.githubusercontent.com/mne-tools/mne-python/master/environment.yml>
> -
>
> Open an Anaconda command prompt
> -
>
> cd to the directory where you downloaded the file
> -
>
> Run conda env update --file environment.yml
>
> HTH
> Alex
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