Skip to main content

Tools to load hydrographic data as DataFrames

Project description

python-ctd

DOI Build Status PyPI Build status Llicense

Tools to load hydrographic data as pandas DataFrame with some handy methods for data pre-processing and analysis

This module can load SeaBird CTD (CNV), Sippican XBT (EDF), and Falmouth CTD (ASCII) formats.

Quick intro

conda install ctd --channel conda-forge
pip install ctd

and then,

import pandas as pd
import ctd

cast = pd.DataFrame.ctd.read_cnv('g01l06s01.cnv.gz')
downcast, upcast = cast.split()
fig, ax = downcast['t090C'].plot_cast()

Bad Processing

We can do better:

downcast, upcast = cast.split()

temperature = downcast['t090C']

fig, ax = plt.subplots(figsize=(5.5, 6))
temperature.plot_cast(ax=ax)
temperature.remove_above_water()\
           .despike()\
           .lp_filter()\
           .press_check()\
           .bindata()\
           .smooth(window_len=21, window='hanning') \
           .plot_cast(ax=ax)
ax.set_ylabel('Pressure (dbar)')
ax.set_xlabel('Temperature (°C)')

Good Processing

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ctd-1.0.0.tar.gz (31.0 kB view hashes)

Uploaded Source

Built Distribution

ctd-1.0.0-py3-none-any.whl (14.8 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page