![mooda header](./docs/img_docs/mooda-header.png)
[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.2677621.svg)](10.5281/zenodo.2643207)
Mooda is a python package designed mainly for oceanographers and marine science students. It is based on a power scripting system for:
* open and analyze data files from scientific instrumentation and platforms
* generate data quality control
* make plots that are commonly used in the oceanographic community
* make data files in netCDF and CSV format
# Why to use mooda and how it works
In an oceanographic data file, metadata (the definition of data) is almost as relevant as the data. Without them, you do not know what the data means.
There are libraries, such as pandas, that allow you to manipulate the data quickly, but they do not give you the possibility to save the metadata.
With mooda, we work with WaterFrames. A WaterFrame object contains a pandas DataFrame and two dictionaries. With a WaterFrame, you can open data files; data is stored into the DataFrame, and the metadata is stored into the dictionaries. With a WaterFrame, you can use the power of a pandas DataFrame without loose all the metadata information. Additionally, mooda helps to open and analyze raw data from scientific instruments and data from oceanographic platforms.
# Where to get it
Binary installers for the latest released stable version are available at the [Python package index](https://pypi.org/project/mooda/)
```cmd
pip install mooda
```
See more [instructions](docs/installation/installation.md) for installation from sources or non-PyPi releases.
# Documentation
The official documentation is hosted here, on the [docs directory](docs/index_docs.md).
# Projects that use or have used mooda
![logos](./docs/img_docs/logos.png)
# License
[MIT](LICENSE)
没有合适的资源?快使用搜索试试~ 我知道了~
温馨提示
共84个文件
py:71个
txt:5个
pkg-info:2个
资源分类:Python库 所属语言:Python 资源全名:mooda-1.10.0.tar.gz 资源来源:官方 安装方法:https://lanzao.blog.csdn.net/article/details/101784059
资源推荐
资源详情
资源评论
收起资源包目录
mooda-1.10.0.tar.gz (84个子文件)
mooda-1.10.0
MANIFEST.in 25B
PKG-INFO 1KB
LICENSE 1KB
mooda.egg-info
PKG-INFO 1KB
patu.py 13KB
requires.txt 209B
not-zip-safe 1B
SOURCES.txt 3KB
top_level.txt 6B
dependency_links.txt 1B
setup.cfg 42B
requirements.txt 222B
setup.py 2KB
README.md 2KB
mooda
input
from_emso.py 4KB
read_nc_ooi.py 4KB
read_nc_emodnet.py 3KB
read_nc_moist.py 3KB
read_json.py 929B
__init__.py 321B
read_nc_imos.py 2KB
read_pkl.py 598B
read_nc.py 942B
waterframe
iplot
iplot.py 4KB
__init__.py 301B
iplot_scatter.py 3KB
iplot_location.py 1KB
iplot_scatter_mapbox.py 2KB
iplot_data_intervals.py 1KB
iplot_line.py 3KB
iplot_timeseries.py 3KB
output
to_csv.py 1KB
to_json.py 625B
to_es.py 12KB
metadata_to_html.py 1KB
__init__.py 230B
to_nc.py 1KB
html_templates
metadata.html 3KB
to_pkl.py 569B
plot
plot_timeseries.py 5KB
plot_hist.py 2KB
__init__.py 144B
plot.py 388B
plot_timebar.py 3KB
__init__.py 5KB
analysis
psal2asal.py 3KB
info_vocabulary.py 1005B
drop.py 1KB
copy.py 296B
time_intervals.py 1KB
reduce_memory.py 3KB
max_diff.py 780B
info_metadata.py 686B
asal_temp2dens.py 2KB
__init__.py 562B
max.py 941B
corr.py 1KB
min.py 942B
slice_time.py 1KB
rename.py 811B
resample.py 3KB
pres2depth.py 2KB
use_only.py 1KB
qc
qc_replace.py 2KB
qc_flat_test.py 1KB
qc_range_test.py 4KB
qc_syntax_test.py 899B
__init__.py 204B
qc_multiparameter_test.py 93B
qc_spike_test.py 5KB
__init__.py 349B
util
concat.py 2KB
iplot
__init__.py 92B
iplot_location.py 2KB
iplot_timeseries.py 2KB
emso.py 23KB
es_create_indexes.py 7KB
__init__.py 279B
md_widgets
widget_save.py 2KB
widget_emso.py 11KB
widget_qc.py 7KB
__init__.py 154B
widget_emso_qc.py 18KB
md5.py 2KB
共 84 条
- 1
资源评论
- 晴花瓷2022-07-07资源使用价值高,内容详实,给了我很多新想法,感谢大佬分享~
挣扎的蓝藻
- 粉丝: 13w+
- 资源: 15万+
上传资源 快速赚钱
- 我的内容管理 展开
- 我的资源 快来上传第一个资源
- 我的收益 登录查看自己的收益
- 我的积分 登录查看自己的积分
- 我的C币 登录后查看C币余额
- 我的收藏
- 我的下载
- 下载帮助
安全验证
文档复制为VIP权益,开通VIP直接复制
信息提交成功