Backtrack 1 3

1. Backtrack 1989
2. 1en1is3 Backtrack Dl1 - YouTube
3. Bushnell BackTrack Point 3 Digital Compass And GPS Review .

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• Installation
  • Install using pip
    • Requirements
• A Backtracking Example

You can install pybacktrack either:

1. using pip, or
2. using Docker.

Docker is typically more straightforward since all the dependencies of pybacktrack have been pre-installed.

Python packages installed using pip will typically also have their dependency packages automatically installed also.However pybacktrack requires manual installation of some of its dependencies.

• Requirements

PyBacktrack depends on:

• Generic Mapping Tools (GMT) (>=5.0.0)

NumPy and SciPy are automatically installed by pip when pybacktrack is installed, however GMT (version 5 or above) and pyGPlates need to be manually installed.

GMT is called via the command-line (shell) and so just needs to be in the PATH in order for pyBacktrack to find it.Also ensure that version 5 or above (supports NetCDF version 4) is installed since the bundled grid files in pyBacktrack are in NetCDF4 format.

PyGPlates is not currently installable as a package and so needs to be in the python path (sys.path or PYTHONPATH).Installation instructions are available here.

PyGPlates now supports Python 3 (in addition to Python 2.7) so you can now use pyBacktrack with either Python 2.7 or 3.The Macports install example below shows one approach to selecting the default Python (2.7 or 3) using sudoportselect.Another approach is using Python virtual environments where each environment has its own python, pip and installed packages.However, currently pyGPlates does not yet work in virtual environments (at least on Mac systems).

This is an example demonstrating how to install GMT and pyGPlates on Ubuntu 18.04 (Bionic).

Note

The main difference for other Ubuntu versions will be the pyGPlates install package(you'll need to select the package appropriate for your Ubuntu version).

First install GMT 5:

Then install Python 3 (and Pip):

Then download the pyGPlates Python 3 debian package pygplates-py3-ubuntu-bionic_2.2_1_amd64.deb,and install it:

Then add the installed location of pyGPlates to the PYTHONPATH environment variable:

This is an example demonstrating how to install GMT and pyGPlates on a Mac system using Macports.

First install GMT 5:

Note

You will likely need to add /opt/local/lib/gmt5/bin/ to your PATH environment variable,for example in your ~/.bashrc, ~/.bash_profile or ~/.zprofile file so that PATHis set each time you open a new terminal window.After doing this, typing gmt should find GMT and show some help options. Super monopoly slot machine.

Then install Python 3 (and Pip):

Set your default python to Python 3.8:

Note

If you already have python referencing Python 2 then you can instead use python3 to reference Python 3:

…but this will require using python3 on the command-line to runpybacktrack (instead of just python).

Alternatively you can use Python 2.7 to run pyBacktrack (instead of Python 3) by installing pyGPlatesfor Python 2.7 (instead of for Python 3) - see below.

Then download the pyGPlates Mac zip file pygplates_rev28_python38_MacOS64.zip,and extract it to your home directory.

Then add the unzipped location of pyGPlates to the PYTHONPATH environment variable:

Note

The above line can be added to your ~/.bashrc, ~/.bash_profile or ~/.zprofile fileso that PYTHONPATH is set each time you open a new terminal window.

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If you are using Python 2.7 to run pyBacktrack (instead of Python 3) then install the Python 2.7 version of pyGPlates instead by installingpygplates_rev28_python27_MacOS64.zip and adding ~/pygplates_rev28_python27_MacOS64 to your PYTHONPATH.

To install the latest stable version, run:

Warning

Note

We generally recommend using python-mpipinstallpybacktrack instead of pipinstallpybacktrack to ensure pybacktrack is installedinto the python you are actually using. For example, when using Conda Python it might be that python executes the Conda Python interpreterbut pip installs into the system Python (eg, because the base Conda environment is not activated).

If you already have pybacktrack installed and would like to upgrade to the latest version then use the --upgrade flag:

To install the latest development version (requires Git on local system), run:

Note

…or download the pyBacktrack source code, extract to a local directory and run:

Note

Installing pyBacktrack will automatically install the NumPy and SciPyrequirements.However, as mentioned in requirements, GMT and pyGPlates still need to be manually installed.

Before running the example below, or any other examples, you'll also need to install the example data (from the pybacktrack package itself).This assumes you've already installed the pybacktrack package.

The following command installs the examples (example data and notebooks) to a new sub-directory of your current working directory called pybacktrack_examples:

Note

The current working directory is whatever directory you are in when you run the above command.

Note

This method of running pybacktrack relies on Docker, so before installingthe pybacktrack docker image, ensure you have installed Docker.

Note

Once Docker is installed, open a Docker terminal (command-line interface).

Note

To install the pybacktrack docker image, type:

To run the docker image:

Then download the pyGPlates Mac zip file pygplates_rev28_python38_MacOS64.zip,and extract it to your home directory.

Then add the unzipped location of pyGPlates to the PYTHONPATH environment variable:

Note

The above line can be added to your ~/.bashrc, ~/.bash_profile or ~/.zprofile fileso that PYTHONPATH is set each time you open a new terminal window.

Note Turbocad mac pro 11 0 0 9.

If you are using Python 2.7 to run pyBacktrack (instead of Python 3) then install the Python 2.7 version of pyGPlates instead by installingpygplates_rev28_python27_MacOS64.zip and adding ~/pygplates_rev28_python27_MacOS64 to your PYTHONPATH.

To install the latest stable version, run:

Warning

Note

We generally recommend using python-mpipinstallpybacktrack instead of pipinstallpybacktrack to ensure pybacktrack is installedinto the python you are actually using. For example, when using Conda Python it might be that python executes the Conda Python interpreterbut pip installs into the system Python (eg, because the base Conda environment is not activated).

If you already have pybacktrack installed and would like to upgrade to the latest version then use the --upgrade flag:

To install the latest development version (requires Git on local system), run:

Note

…or download the pyBacktrack source code, extract to a local directory and run:

Note

Installing pyBacktrack will automatically install the NumPy and SciPyrequirements.However, as mentioned in requirements, GMT and pyGPlates still need to be manually installed.

Before running the example below, or any other examples, you'll also need to install the example data (from the pybacktrack package itself).This assumes you've already installed the pybacktrack package.

The following command installs the examples (example data and notebooks) to a new sub-directory of your current working directory called pybacktrack_examples:

Note

The current working directory is whatever directory you are in when you run the above command.

Note

This method of running pybacktrack relies on Docker, so before installingthe pybacktrack docker image, ensure you have installed Docker.

Note

Once Docker is installed, open a Docker terminal (command-line interface).

Note

To install the pybacktrack docker image, type:

To run the docker image:

Backtrack 1989

Note

On Linux systems you may have to use sudo when running docker commands. For example:

1en1is3 Backtrack Dl1 - YouTube

From the current working directory you can run the backtracking example below,or any other examples in this documentation. For example, you could run:

If you wish to run the example notebooksthen there is a notebook.sh script to start a Jupyter notebook server in the running docker container:

Then you can start a web browser on your local machine and type the following in the URL field:

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Download photo mechanic 5 v5 5. Once installed, pybacktrack is available to:

1. run built-in scripts (inside pybacktrack), or
2. importpybacktrack into your own script.

The following example is used to demonstrate both approaches. It backtracks an ocean drill site and saves the output to a text file by:

• reading the ocean drill site file pybacktrack_examples/test_data/ODP-114-699-Lithology.txt,

  Note

  However if you have your own ocean drill site file then you can substitute it in the example below if you want.

• backtracking it using:

  • the M2 dynamic topography model, and
  • the Haq87_SealevelCurve_Longterm sea-level model,

• writing the amended drill site to ODP-114-699_backtrack_amended.txt, and

• writing the following columns to ODP-114-699_backtrack_decompat.txt:

  • age
  • compacted_depth
  • compacted_thickness
  • decompacted_thickness
  • decompacted_density
  • decompacted_sediment_rate
  • decompacted_depth
  • dynamic_topography
  • water_depth
  • tectonic_subsidence
  • lithology

Since there is a backtrack module inside pybacktrack that can be run as a script,we can invoke it on the command-line using python-mpybacktrack.backtrack_cli followed by command line options that are specific to that module.This is the easiest way to run backtracking.

To see its command-line options, run:

The backtracking example can now be demonstrated by running the script as:

An alternative to running a built-in script is to write your own script (using a text editor) that imports pybacktrack andcalls its functions. You might do this if you want to combine pyBacktrack functionality with other research functionality into a single script.

The following Python code does the same as the built-in script by calling thepybacktrack.backtrack_and_write_well() function:

If you save the above code to a file called my_backtrack_script.py then you can run it as: