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27 changes: 22 additions & 5 deletions README.md
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The Python-based Space Physics Environment Data Analysis Software (PySPEDAS) framework supports multi-mission, multi-instrument retrieval, analysis, and visualization of heliophysics time series data.


## Projects Supported
- [Advanced Composition Explorer (ACE)](https://pyspedas.readthedocs.io/en/latest/ace.html)
- [Akebono](https://pyspedas.readthedocs.io/en/latest/akebono.html)
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- [Van Allen Probes (RBSP)](https://pyspedas.readthedocs.io/en/latest/rbsp.html)
- [Wind](https://pyspedas.readthedocs.io/en/latest/wind.html)


## Requirements

Python 3.8+ is required.
Python 3.8+ is required.

We recommend [Anaconda](https://www.continuum.io/downloads/) which comes with a suite of packages useful for scientific data analysis. Step-by-step instructions for installing Anaconda can be found at: [Windows](https://docs.anaconda.com/anaconda/install/windows/), [macOS](https://docs.anaconda.com/anaconda/install/mac-os/), [Linux](https://docs.anaconda.com/anaconda/install/linux/)


## Installation

### Virtual Environment
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pip install pyspedas --upgrade
```


## Local Data Directories

The recommended way of setting your local data directory is to set the `SPEDAS_DATA_DIR` environment variable. `SPEDAS_DATA_DIR` acts as a root data directory for all missions, and will also be used by IDL (if you’re running a recent copy of the bleeding edge).

Mission specific data directories (e.g., `MMS_DATA_DIR` for MMS, `THM_DATA_DIR` for THEMIS) can also be set, and these will override `SPEDAS_DATA_DIR`


## Usage

To get started, import pyspedas and pytplot:
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from pytplot import tplot
```

You can load data into tplot variables by calling `pyspedas.mission.instrument()`, e.g.,
You can load data into tplot variables by calling `pyspedas.mission.instrument()`, e.g.,

To load and plot 1 day of THEMIS FGM data for probe 'd':
```python
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### Standard Options
- `trange`: two-element list specifying the time range of interest. This keyword accepts a wide range of formats
- `time_clip`: if set, clip the variables to the exact time range specified by the `trange` keyword
- `time_clip`: if set, clip the variables to the exact time range specified by the `trange` keyword
- `suffix`: string specifying a suffix to append to the loaded variables
- `varformat`: string specifying which CDF variables to load; accepts the wild cards * and ?
- `varnames`: string specifying which CDF variables to load (exact names)
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- `no_update`: if set, only load the data from the local cache
- `notplot`: if set, load the variables into dictionaries containing numpy arrays (instead of creating the tplot variables)


## Examples
Please see the following notebooks for examples of using PySPEDAS

### PyTplot Basics
- [Introduction to PyTplot](https://github.com/spedas/pyspedas_examples/blob/master/pyspedas_examples/notebooks/Introduction_to_PyTplot.ipynb)

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## Documentation
For more information, please see our HTML documentation at:
For more information, please see our HTML documentation at:

https://pyspedas.readthedocs.io/


## Getting Help
To find the options supported, call `help` on the instrument function you're interested in:
```python
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You can ask questions by creating an issue or by joining the [SPEDAS mailing list](http://spedas.org/mailman/listinfo/spedas-list_spedas.org).


## PyTplot

Pytplot is a separate project, that replicates the IDL "tplot" functionality. Pyspedas uses a modified version of pytplot with matplotlib as the plotting library.


## Contributing
We welcome contributions to PySPEDAS; to learn how you can contribute, please see our [Contributing Guide](https://github.com/spedas/pyspedas/blob/master/CONTRIBUTING.md)


## Plug-in Development
An introduction to PySPEDAS plug-in development can be found here:

[Introduction to PySPEDAS plug-in development](https://github.com/spedas/pyspedas/tree/master/docs/pyspedas_plugin_development.pdf)


## Code of Conduct
In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation. To learn more, please see our [Code of Conduct](https://github.com/spedas/pyspedas/blob/master/CODE_OF_CONDUCT.md).


## Additional Information

For examples of pyspedas, see: https://github.com/spedas/pyspedas_examples

For MMS examples, see: https://github.com/spedas/mms-examples

For pytplot, see: https://github.com/MAVENSDC/PyTplot
For pytplot (matplotlib version), see: https://github.com/MAVENSDC/PyTplot/tree/matplotlib-backend

For cdflib, see: https://github.com/MAVENSDC/cdflib

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2 changes: 1 addition & 1 deletion requirements.txt
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numpy>=1.19.5
requests
cdflib<1.0.0
pytplot-mpl-temp>=2.1.53
pytplot-mpl-temp>=2.2.0
cdasws>=1.7.24
netCDF4
pywavelets
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4 changes: 2 additions & 2 deletions setup.py
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setup(
name='pyspedas',
version='1.4.47',
version='1.5.0',
description='Python Space Physics Environment Data Analysis Software (pySPEDAS)',
long_description=open('README.md').read(),
long_description_content_type='text/markdown',
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install_requires=['numpy>=1.19.5', 'requests', 'geopack>=1.0.10', 'scipy',
'cdflib<1.0.0', 'cdasws>=1.7.24', 'netCDF4>=1.6.2',
'pywavelets', 'astropy', 'hapiclient>=0.2.2',
'pytplot-mpl-temp>=2.1.53', 'viresclient'],
'pytplot-mpl-temp>=2.2.0', 'viresclient'],
python_requires='>=3.8',
include_package_data=True,
)

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