some docu changes
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Database of data recorded in the group.
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## Assumptions & Caveats
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## Assumptions & Caveats:
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* there is only a single subject in each dataset
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* each recording contains a single cell
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* RePro links to Cell and not to Dataset
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* Question: should we store the sampling rate and hardware info in the database?
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* ID card for each cell
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## FIXMEs
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* repro must have foreign keys to dataset **and** subject
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* Dataset finding samplerate in stimuli.dat can be improved
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* Reading fi data from old-style directories
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* maybe delegate this to Stimulus?
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* implement alternative dataSources, somehow
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* stimulus contrast is not read from nix file (e.g. filestimulus) maybe a problem with all mutables?
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* Add relacs_nix_version to dataset, could be used to decide how to read stuff, in particular, we will switch to DataFrames for most features after nixio version 1.5
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* Add relacs_nix_version to dataset, could be used to decide how to read stuff, in particular, we will switch to DataFrames for most features after nixio version 1.5
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# How to use the fish book
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## Requirements
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* Python 3.5+ only, **no** python 2
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* [datajoint](https://datajoint.io) to connect to the database and to map python objects to table entries.
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* [nixio](https://github.com/g-node/nixpy) to read the relacs-flavored nix files during import or later during data retrieval.
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## Installation
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1) clone the repository
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### 1) Clone the repository
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```bash
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>> git clone https://whale.am28.uni-tuebingen.de/git/jgrewe/fishbook.git
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```
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```
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>> git clone https://whale.am28.uni-tuebingen.de/git/jgrewe/fishbook.git
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```
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### 2) Installation
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2. installation
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When installing for development: install for the current user, install as "editable":
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```
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```bash
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>> cd fishbook
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>> pip3 install fishbook -e --user
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>> pip3 install -e fishbook --user
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```
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When installing for use:
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```
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```bash
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>> pip3 install fishbook --user
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# or
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# or, for system-wide installation
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>> sudo pip3 install fishbook
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```
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3. connecting to the database
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Suppose that you intend to work on a project named `foo` use the terminal to navigate to the project directory: `cd foo`
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## Getting started
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### 3) Connecting to the database
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Suppose that you intend to work on a project named `foo` use the terminal to navigate to the project directory: `cd foo`
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