corrected paths in the documentation

docs/installation.rst

@@ -35,17 +35,17 @@ Now, append wavy root directory to $PYTHONPATH, for instance add the following t
 
    .. code-block:: bash
 
-      export PYTHONPATH=$PYTHONPATH:/home/patrikb/wavy
-
+      export PYTHONPATH=$PYTHONPATH:/path/to/your/wavy
+      
 .. note::
 
-   My user *patrikb* was used in this example. This will be the case in more examples and needs to be adjusted for other users.
+   /path/to/your/wavy/ should be replace with the full path of your wavy folder. It will be the case throughout all this documentation.
 
 Create an .env file in your wavy directory and point to the location where you plan to store your custom config files, as well as your wavy directory. Your .env-file could look like:
 
    .. code-block:: bash
 
-      WAVY_CONFIG=path/to/your/config/files
+      WAVY_CONFIG=/path/to/your/config/
       WAVY_DIR=/path/to/your/wavy/
 
 How to start your own project and how to manage the config files is explained in a separate tutorial.

docs/tutorials_collocmod.rst

@@ -11,7 +11,7 @@ Collocation of satellite and wave model
    >>> from wavy.satellite_module import satellite_class as sc
    >>> from wavy.collocation_module import collocation_class as cc
 
-   >>> tmpdir = '/home/patrikb/wavy/tests/data/L3/s3a/'
+   >>> tmpdir = '/path/to/your/wavy/tests/data/L3/s3a/'
    >>> sd = "2022-2-1 12"
    >>> ed = "2022-2-1 12"
    >>> name = 's3a'

docs/tutorials_consolidate.rst

@@ -10,9 +10,9 @@ The consolidate_class enables the consolidation of multiple satellite_class or i
 
    >>> # satellite consolidate 
    >>> sco1 = sc(sd="2022-2-1",ed ="2022-2-3",region="NordicSeas", nID="cmems_L3_NRT",
-   ...           name='s3a').populate(path='/home/patrikb/wavy/tests/data/L3/s3a')
+   ...           name='s3a').populate(path='/path/to/your/wavy/tests/data/L3/s3a')
    >>> sco2 = sc(sd="2022-2-1",ed ="2022-2-3",region="NordicSeas", nID="cmems_L3_NRT",
-   ...           name='s3b').populate(path='/home/patrikb/wavy/tests/data/L3/s3b')
+   ...           name='s3b').populate(path='/path/to/your/wavy/tests/data/L3/s3b')
 
    >>> cso = cs([sco1,sco2])
 

docs/tutorials_sat_download.rst

@@ -64,13 +64,13 @@ This means that for product cmems_L3_NRT you can choose among 7 satellite missio
    machine ftp.ceda.ac.uk    login {USER}  password {PASSWORD}
    machine ftp-access.aviso.altimetry.fr    login {USER}  password {PASSWORD}
 
-Now, prepare your **wavy** environment with providing the directories for satellite data and model data. Add your path for satellite data here demonstrated for CMEMS with my user:
+Now, prepare your **wavy** environment with providing the directories for satellite data and model data. Add your path for satellite data here demonstrated for CMEMS, indicating the path of your choice where you want your data to be stored:
 
 .. code-block:: yaml
 
    cmems_L3_NRT:
       dst:
-         path_template: /home/patrikb/tmp_altimeter/L3/mission
+         path_template: /chosen/path/to/satellite/data/L3/mission
 
 
 There exists also something called strsub which defines strings that are o substituted. In this case some are predefined as:
@@ -79,7 +79,7 @@ There exists also something called strsub which defines strings that are o subst
 
    strsub: ['varalias','mission','region']
 
-The str "mission" in your path_template will be replaced by the satellite mission that you download. So for Sentinel-3a the final path for your downloaded files will be automatically /home/patrikb/tmp_altimeter/L3/s3a with subfolders on year and month.
+The str "mission" in your path_template will be replaced by the satellite mission that you download. So for Sentinel-3a the final path for your downloaded files will be automatically /chosen/path/to/satellite/data/L3/s3a with subfolders on year and month.
 
 You can proceed now and download CMEMS NRT L3 data using the wavyDownload.py script:
 
@@ -119,7 +119,7 @@ You can also download altimeter data directly from python with the following lin
    >>> # Initialize sc object
    >>> sco = sc(sd=sd,ed=ed,nID=nID,name=name)
    >>> # Download the data to a chosen directory
-   >>> path = '/home/patrikb/tmp_altimeter/L3/s3a'
+   >>> path = '/chosen/path/to/satellite/data/L3/s3a'
    >>> sco.download(nproc=4, path=path)
 
 

docs/tutorials_sat_filters.rst

@@ -6,7 +6,7 @@ Basic, but very useful, filters can be applied to the altimtery time series usin
 .. code-block:: python3
 
     >>> from wavy.satellite_module import satellite_class as sc
-    >>> path = '/home/fabienc/Projects/patriks_fork_wavy/wavy/tests/data/L3/s3a'
+    >>> path = '/path/to/your/wavy/tests/data/L3/s3a'
     >>> nID = 'cmems_L3_NRT'
     >>> name = 's3a'
     >>> region = 'NordicSeas'

docs/tutorials_stormtrack.rst

@@ -61,7 +61,7 @@ Now start you python script:
    >>> from wavy.utils import parse_date
    >>> import pandas as pd
 
-   >>> f = pd.read_csv('/home/patrikb/wavy/tests/data/track/Katrina_track.csv')
+   >>> f = pd.read_csv('/path/to/your/wavy/tests/data/track/Katrina_track.csv')
    >>> # convert dates to datetime
    >>> dt = [parse_date(d) for d in f.date]
    >>> lons = f.lon.values
@@ -78,7 +78,7 @@ Now start you python script:
    ...          nID='CCIv1_L3', region='global',
    ...          varalias = 'Hs', # default
    ...          poi=pco)
-   >>> sco = sco.populate(path='/home/patrikb/wavy/tests/data/L3/multi/')
+   >>> sco = sco.populate(path='/path/to/your/wavy/tests/data/L3/multi/')
 
    >>> # quicklook including track by passing poi
    >>> sco.quicklook(m=True,poi=pco)

docs/tutorials_triple_collocation.rst

@@ -71,7 +71,7 @@ First, let us import a serie of values we will consider as the true common signa
 .. code-block:: python3
 
    >>> import pandas as pd
-   >>> df = pd.read_csv('/home/patrikb/wavy/tests/data/triple_collocation/simulated_t.csv', 
+   >>> df = pd.read_csv('/path/to/your/wavy/tests/data/triple_collocation/simulated_t.csv', 
    ...                  header=None, 
    ...                  names=['t'])
    

docs/tutorials_wavyQuick.rst

@@ -58,7 +58,7 @@ Now, dump the satellite data to a netcdf-file for later use:
 
 .. code-block:: bash
 
-   $ ./wavyQuick.py -sat s3a -reg mwam4 -sd 2020110100 -ed 2020110300 -dump /home/patrikb/tmp_altimeter/quickdump/test.nc
+   $ ./wavyQuick.py -sat s3a -reg mwam4 -sd 2020110100 -ed 2020110300 -dump /any/path/of/your/choice/test.nc
 
 Browse for satellite data, collocate with wave model output and show footprints and model output for one time step and a given lead time (-lt 0) and time constraint (-twin 30):