An implementation of the Data Access Protocol.
Project description
Pydap
=====
[](https://travis-ci.org/pydap/pydap)
[](https://www.python.org/downloads/)
[](https://www.python.org/downloads/)
[](http://pydap.readthedocs.org/en/latest/)
[](https://pypi-hypernode.com/pypi/Pydap/)
[Pydap](http://pydap.readthedocs.io/en/latest/) is an implementation of the Opendap/DODS protocol, written from scratch in pure python. You can use Pydap to access scientific data on the internet without having to
download it; instead, you work with special array and iterable objects that
download data on-the-fly as necessary, saving bandwidth and time. The module
also comes with a robust-but-lightweight Opendap server, implemented as a WSGI
application.
Quickstart
----------
You can install the latest version using [pip](http://pypi.python.org/pypi/pip). After [installing pip](http://www.pip-installer.org/en/latest/installing.html) you can install Pydap with this command:
```bash
$ pip install Pydap
```
This will install Pydap together with all the required dependencies. You can now open any remotely served dataset, and Pydap will download the accessed data on-the-fly as needed:
```python
>>> from pydap.client import open_url
>>> dataset = open_url('http://test.opendap.org/dap/data/nc/coads_climatology.nc')
>>> var = dataset['SST']
>>> var.shape
(12, 90, 180)
>>> var.dtype
dtype('>f4')
>>> data = var[0,10:14,10:14] # this will download data from the server
>>> data
<GridType with array 'SST' and maps 'TIME', 'COADSY', 'COADSX'>
>>> print(data.data)
[array([[[ -1.26285708e+00, -9.99999979e+33, -9.99999979e+33,
-9.99999979e+33],
[ -7.69166648e-01, -7.79999971e-01, -6.75454497e-01,
-5.95714271e-01],
[ 1.28333330e-01, -5.00000156e-02, -6.36363626e-02,
-1.41666666e-01],
[ 6.38000011e-01, 8.95384610e-01, 7.21666634e-01,
8.10000002e-01]]], dtype=float32), array([ 366.]), array([-69., -67., -65., -63.]), array([ 41., 43., 45., 47.])]
```
For more information, please check the documentation on [using Pydap as a client](http://pydap.readthedocs.io/en/latest/server.html). Pydap also comes with a simple server, implemented as a [WSGI]( http://wsgi.org/) application. To use it, you first need to install the server and optionally a data handler:
```bash
$ pip install Pydap[server,handlers.netcdf]
```
This will install support for [netCDF](http://www.unidata.ucar.edu/software/netcdf/) files; more [handlers](http://pydap.readthedocs.io/en/latest/handlers.html) for different formats are available, if necessary. Now create a directory for your server data.
To run the server just issue the command:
```bash
$ pydap --data ./myserver/data/ --port 8001
```
This will start a standalone server running on http://localhost:8001/, serving netCDF files from ``./myserver/data/``, similar to the test server at http://test.pydap.org/. Since the server uses the [WSGI](http://wsgi.org/) standard, it can easily be run behind Apache. The [server documentation](server.html) has more information on how to better deploy Pydap.
## Documentation
For more information, see [](http://pydap.readthedocs.org/en/latest/)
## Help
If you need any help with Pydap, please feel free to send an email to the [mailing list](http://groups.google.com/group/pydap/)
=====
[](https://travis-ci.org/pydap/pydap)
[](https://www.python.org/downloads/)
[](https://www.python.org/downloads/)
[](http://pydap.readthedocs.org/en/latest/)
[](https://pypi-hypernode.com/pypi/Pydap/)
[Pydap](http://pydap.readthedocs.io/en/latest/) is an implementation of the Opendap/DODS protocol, written from scratch in pure python. You can use Pydap to access scientific data on the internet without having to
download it; instead, you work with special array and iterable objects that
download data on-the-fly as necessary, saving bandwidth and time. The module
also comes with a robust-but-lightweight Opendap server, implemented as a WSGI
application.
Quickstart
----------
You can install the latest version using [pip](http://pypi.python.org/pypi/pip). After [installing pip](http://www.pip-installer.org/en/latest/installing.html) you can install Pydap with this command:
```bash
$ pip install Pydap
```
This will install Pydap together with all the required dependencies. You can now open any remotely served dataset, and Pydap will download the accessed data on-the-fly as needed:
```python
>>> from pydap.client import open_url
>>> dataset = open_url('http://test.opendap.org/dap/data/nc/coads_climatology.nc')
>>> var = dataset['SST']
>>> var.shape
(12, 90, 180)
>>> var.dtype
dtype('>f4')
>>> data = var[0,10:14,10:14] # this will download data from the server
>>> data
<GridType with array 'SST' and maps 'TIME', 'COADSY', 'COADSX'>
>>> print(data.data)
[array([[[ -1.26285708e+00, -9.99999979e+33, -9.99999979e+33,
-9.99999979e+33],
[ -7.69166648e-01, -7.79999971e-01, -6.75454497e-01,
-5.95714271e-01],
[ 1.28333330e-01, -5.00000156e-02, -6.36363626e-02,
-1.41666666e-01],
[ 6.38000011e-01, 8.95384610e-01, 7.21666634e-01,
8.10000002e-01]]], dtype=float32), array([ 366.]), array([-69., -67., -65., -63.]), array([ 41., 43., 45., 47.])]
```
For more information, please check the documentation on [using Pydap as a client](http://pydap.readthedocs.io/en/latest/server.html). Pydap also comes with a simple server, implemented as a [WSGI]( http://wsgi.org/) application. To use it, you first need to install the server and optionally a data handler:
```bash
$ pip install Pydap[server,handlers.netcdf]
```
This will install support for [netCDF](http://www.unidata.ucar.edu/software/netcdf/) files; more [handlers](http://pydap.readthedocs.io/en/latest/handlers.html) for different formats are available, if necessary. Now create a directory for your server data.
To run the server just issue the command:
```bash
$ pydap --data ./myserver/data/ --port 8001
```
This will start a standalone server running on http://localhost:8001/, serving netCDF files from ``./myserver/data/``, similar to the test server at http://test.pydap.org/. Since the server uses the [WSGI](http://wsgi.org/) standard, it can easily be run behind Apache. The [server documentation](server.html) has more information on how to better deploy Pydap.
## Documentation
For more information, see [](http://pydap.readthedocs.org/en/latest/)
## Help
If you need any help with Pydap, please feel free to send an email to the [mailing list](http://groups.google.com/group/pydap/)
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