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dinkum-1.0.4
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تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشتر
تبلیغات ما
مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.
مشاهده بیشترتوضیحات
Some functions for interacting with [destmn]bd files in Python. Intent is to return a usable data object.
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | dinkum-1.0.4 |
| نام | dinkum |
| نسخه کتابخانه | 1.0.4 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | pye, Sean |
| ایمیل نویسنده | - |
| آدرس صفحه اصلی | https://ceotr.ocean.dal.ca/ |
| آدرس اینترنتی | https://pypi.org/project/dinkum/ |
| مجوز | GNU General Public License v3 (GPLv3) |
dinkum
======
Tools for interacting with ‘dinkum binary data’ formatted files.
Installation:
=============
- install conda/miniconda
- clone the repository onto your computer and cd into the directory
If you want to install dinkum environment.
::
-- from inside the cloned repository directory run `conda env create -f environment.yml`, it will read environment.yml
and automatically install the dependencies, and create environment
liberdade
::
-- if dinkum env already exist, use `conda env update -f=environment.yml` for update environment dependencies
-- source activate dinkum
If you want to install dinkum as library
::
pip install git+https://gitlab.oceantrack.org/ocean-gliders-canada/dinkum.git
Usage:
======
First import the library
``import dinkum``
| **dinkum2ascii**
| Decode a Dinkum Binary Data file or all Dinkum Binary Data under the
specific directory. and convert it to ascii file into the given
output_dir
``dinkum.dinkum2ascii(sample_file_directory_path, cache_directory_path, output_path)``
| **dinkum2dicts**
| Decode a Dinkum Binary Data file or all Dinkum Binary Data under the
specific directory.
| Return a list of python dictionaries, which looks like {‘cache’:cache,
‘data’:data, ‘header’:header}
| ``res = dinkum.dinkum2dicts(sample_file_directory_path, cache_path)``
| res looks like [dict1, dict2, dict3] (if under input dir has three
Dinkum Binary files)
| dict1 looks like
| {
| \* ‘cache’: (list)[ - {‘index’: ‘0’, ‘unit’: ‘cc’, ‘sensor_name’:
‘c_ballact_bpumped’, ‘transmitted’: ‘T’, number_of_bytes’: ‘4’,
‘sensor_number’: ‘60’},
| - {‘index’: ‘1’, ‘unit’: ‘x’, ‘sensor_name’: ‘c_ballact_bpumped’,
‘transmitted’: ‘T’, ‘number_of_bytes’: ‘4’, ‘sensor_number’: ‘117’},
| - …
| ],
| \* ‘data’: (list) [
| - [233.0, ‘NaN’, ‘NaN’, 0.0, ‘NaN’,‘NaN’, 2, …],
| - [‘NaN’, ‘NaN’, ‘NaN’, 0.0, ‘NaN’,‘NaN’, ‘NaN’, …],
| - …
| ],
| \* ‘header’: (dict){
| - ‘all_sensors’: ‘F’,
| - ‘dbd_lable’: ‘DBD(dinkum_library_data)file’,
| - ‘encoding_ver’: ‘5’,
| - …
| }
}
| **dinkum2pandas**
| Decode a Dinkum Binary Data file or all Dinkum Binary Data under the
specific directory.
| Return a list of pandas dataframe, column names format
sensor_name(unit)
| with_unit (bool parameter, default set to false): whether the output
pandas with unit
| appending (bool parameter, default set to false): whether the merge
output pandas together
| (flight files merge with flight files, and sci files merge with sci
files)
| if appending set to True, then will return two pandas:
| one for all flight flies pandas merge together, and one for all sci
files merge together
| ``res = dinkum.dinkum2pandas(sample_file_directory_path, cache_path, with_unit=False, appending=False)``
| res looks like [df1, df2, df3] (if under input dir has three Dinkum
Binary files)
| each dataframe looks like:
== ================== ============== ============== =
\ sci_m_present_time sci_water_cond sci_water_temp …
== ================== ============== ============== =
0 timestamp s/m degc …
1 1528669160.1608582 2.9354474656 7.356734 …
… … … … …
== ================== ============== ============== =
| **dbd_asc2dict** Conver DBD asc file to python dictionary, which looks
like {‘data’: dstruct, ‘meta’: meta}
| column_output=[] to specified the coloumns of data in the result
(include all coloumns by default)
| ``res = dbd_asc2dict(dbd_asc_name, column_output=[])``
| res looks like
| { \* ‘data’: (list)[ - [‘2’, ‘233’, ‘0’, ‘-1’, …], - [‘NaN’, ‘NaN’,
‘NaN’, ‘NaN’, …], - … ],
| \* ‘meta’: (dict){ - ‘num_segments’: ‘1’, - ‘all_sensor’: ‘1’, -
‘dbd_label’: ‘DBD_SAC’, - ‘columns’: (list)[ - [‘cc_bpump_mode’,
‘cc_bpump_value’, ‘cc_depth_state_mode’, ‘cc_final_bpump_value’, …], -
[‘enum’, ‘X’, ‘enum’, ‘enum’, ‘X’, ‘enum’, …], - [‘1’, ‘4’, ‘1’, ‘1’,
‘4’, ‘1’, …] ] - ….
::
}
}
| **dinkumMergeAscii**
| Merge flight file and sci file by timestamp
| Files that need to merge should have same file name but different
extension
| ``res = dinkumMergeAscii(source_directory_or_file_list, output_directory=None)``
| merge ascii flight file and sci file by timestamp (flight’s
m_present_time with sci’s sci_m_present_time)
============== ==================
m_present_time sci_m_present_time
============== ==================
dbd ebd
sbd tbd
============== ==================
| eg: merge file1.dbd with file1.ebd, file2.sbd with file2.tbd
| input could be a source_directory or a list include ascii file paths
(eg:[file1.dbd, file1.ebd])
| return a list of python dictionaries
| or convert dicts to ascii file into the given output_dir (if output
path was specified)
| res looks like [dict1, dict2, dict3] (if under input dir has three
pair ascii flight & sci files)
| dict looks like
| { \* ‘data’: (list)[ - [‘2’, ‘233’, ‘0’, ‘-1’, …], - [‘NaN’, ‘NaN’,
‘NaN’, ‘NaN’, …], - … ],
| \* ‘meta’: (dict){ - ‘num_segments’: ‘1’, - ‘all_sensor’: ‘1’, -
‘dbd_label’: ‘DBD_SAC’, - ‘columns’: (list)[ - [‘cc_bpump_mode’,
‘cc_bpump_value’, ‘cc_depth_state_mode’, ‘cc_final_bpump_value’, …], -
[‘enum’, ‘X’, ‘enum’, ‘enum’, ‘X’, ‘enum’, …], - [‘1’, ‘4’, ‘1’, ‘1’,
‘4’, ‘1’, …] ] - ….
::
}
}
| **dinkumMergeBinary**
| Input could be a source_directory or a list include file paths
| First decode the binary file(s) under (source_directory/decode_result)
| And then return a list of python dictionaries that merge flight file
with science file timestamp
| or convert dicts to ascii file into the given output_dir (if output
path was specified)
| merge binary files by timestamp (flight’s m_present_time with sci’s
sci_m_present_time)
============== ==================
m_present_time sci_m_present_time
============== ==================
dbd ebd
sbd tbd
============== ==================
| ``res = dinkumMergeBinary(source_directory, cache_directory, destination_dictory)``
| res looks like [dict1, dict2, dict3] (if under input dir has three
pair binary flight & sci files) dict looks like
| { \* ‘data’: (list)[ - [‘2’, ‘233’, ‘0’, ‘-1’, …], - [‘NaN’, ‘NaN’,
‘NaN’, ‘NaN’, …], - … ],
| \* ‘meta’: (dict){ - ‘num_segments’: ‘1’, - ‘all_sensor’: ‘1’, -
‘dbd_label’: ‘DBD_SAC’, - ‘columns’: (list)[ - [‘cc_bpump_mode’,
‘cc_bpump_value’, ‘cc_depth_state_mode’, ‘cc_final_bpump_value’, …], -
[‘enum’, ‘X’, ‘enum’, ‘enum’, ‘X’, ‘enum’, …], - [‘1’, ‘4’, ‘1’, ‘1’,
‘4’, ‘1’, …] ] - ….
::
}
}
زبان مورد نیاز
| مقدار | نام |
|---|---|
| >=3.8 | Python |
نحوه نصب
نصب پکیج whl dinkum-1.0.4:
pip install dinkum-1.0.4.whl
نصب پکیج tar.gz dinkum-1.0.4:
pip install dinkum-1.0.4.tar.gz