seapy | State Estimation and Analysis in Python | Data Manipulation library

by powellb Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | seapy Summary

seapy is a Python library typically used in Utilities, Data Manipulation, Numpy applications. seapy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install seapy' or download it from GitHub, PyPI.

Tools for working with ocean models and data. SEAPY requires: basemap, h5py, joblib, netcdf4, numpy, numpy_groupies, rich and scipy.

Support

Quality

Security

License

Reuse

Support

seapy has a low active ecosystem.

It has 23 star(s) with 18 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 10 have been closed. On average issues are closed in 18 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of seapy is current.

Quality

seapy has 0 bugs and 0 code smells.

Security

seapy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

seapy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

seapy is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

seapy releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed seapy and discovered the below as its top functions. This is intended to give you an instant insight into seapy implemented functionality, and help decide if they suit your requirements.

Generate a series of raster data points
Interpolate the i - th grid onto the IJ grid
Convert an object into a numpy array
Convert a string into an integer
Detide the scattering plot of a grid
Return a shallow copy of the object
Create a grid
Parse cdl file
Generate bulk force data
North East Down
Convert a file to a netcdf file
R Calculates the transect between two points
Convert source file to grid
Add SSH tides to the given obs
Compute the w velocity of a grid
Batch multiple files
Bandpass filter
Predict the phase of the given times
Calculate the depth average
Create a pysource object
Convert the source file to a CLIM file
Load the hazard history file
Generate a NECK file
Fits a time series
Convert a roms file to a grid
Merge overlapping files

Get all kandi verified functions for this library.

seapy Key Features

No Key Features are available at this moment for seapy.

seapy Examples and Code Snippets

No Code Snippets are available at this moment for seapy.

Community Discussions

Trending Discussions on Data Manipulation

R: Is there a "Un-Character" Command in R?

Creating new columns based on data in row separated by specific character in R

Multiplying and Adding Values across Rows

How to make a rank column in R

How to return the column title wherein the row contains the greatest value in Pandas Dataframe

Split large csv file into multiple files based on column(s)

Get the first non-null value from selected cells in a row

pivot_longer with column pairs

Simulating Random Draws From a "Hat"

Break Apart a String into Separate Columns R

QUESTION

R: Is there a "Un-Character" Command in R?

Asked 2022-Apr-10 at 17:37

I am working with the R programming language.

I have the following dataset:

...

ANSWER

Answered 2022-Apr-10 at 05:36

Up front, "1,3,4" != 1. It seems you should look to split the strings using strsplit(., ",").

Source https://stackoverflow.com/questions/71813866

QUESTION

Creating new columns based on data in row separated by specific character in R

Asked 2022-Mar-15 at 08:48

I've the following table

Owner Pet Housing_Type A Cats;Dog;Rabbit 3 B Dog;Rabbit 2 C Cats 2 D Cats;Rabbit 3 E Cats;Fish 1

The code is as follows:

...

ANSWER

Answered 2022-Mar-15 at 08:48

One approach is to define a helper function that matches for a specific animal, then bind the columns to the original frame.

Note that some wrangling is done to get rid of whitespace to identify the unique animals to query.

Source https://stackoverflow.com/questions/71478316

QUESTION

Multiplying and Adding Values across Rows

Asked 2022-Mar-10 at 08:24

I have this data frame:

...

ANSWER

Answered 2022-Mar-10 at 04:12

We can use stri_replace_all_regex to replace your color_1 into integers together with the arithmetic operator.

Here I've stored your values into a vector color_1_convert. We can use this as the input in stri_replace_all_regex for better management of the values.

Source https://stackoverflow.com/questions/71418533

QUESTION

How to make a rank column in R

Asked 2022-Mar-07 at 16:19

I have a database with columns M1, M2 and M3. These M values correspond to the values obtained by each method. My idea is now to make a rank column for each of them. For M1 and M2, the rank will be from the highest value to the lowest value and M3 in reverse. I made the output table for you to see.

...

ANSWER

Answered 2022-Mar-07 at 14:15

Using rank and relocate:

Source https://stackoverflow.com/questions/71381995

QUESTION

How to return the column title wherein the row contains the greatest value in Pandas Dataframe

Asked 2022-Feb-24 at 20:56

I working on a Python project that has a DataFrame like this:

...

ANSWER

Answered 2022-Feb-24 at 20:48

You could use the idxmax method on axis:

Source https://stackoverflow.com/questions/71258033

QUESTION

Split large csv file into multiple files based on column(s)

Asked 2022-Feb-07 at 12:49

I would like to know of a fast/efficient way in any program (awk/perl/python) to split a csv file (say 10k columns) into multiple small files each containing 2 columns. I would be doing this on a unix machine.

...

ANSWER

Answered 2021-Dec-12 at 05:22

With your show samples, attempts; please try following awk code. Since you are opening files all together it may fail with infamous "too many files opened error" So to avoid that have all values into an array and in END block of this awk code print them one by one and I am closing them ASAP all contents are getting printed to output file.

Source https://stackoverflow.com/questions/70320648

QUESTION

Get the first non-null value from selected cells in a row

Asked 2022-Feb-04 at 09:55

Good afternoon, friends!

I'm currently performing some calculations in R (df is displayed below). My goal is to display in a new column the first non-null value from selected cells for each row.

My df is:

...

ANSWER

Answered 2022-Feb-03 at 11:16

One option with dplyr could be:

Source https://stackoverflow.com/questions/70970158

QUESTION

pivot_longer with column pairs

Asked 2022-Feb-03 at 14:02

I am again struggling with transforming a wide df into a long one using pivot_longer The data frame is a result of power analysis for different effect sizes and sample sizes, this is how the original df looks like:

...

ANSWER

Answered 2022-Feb-03 at 10:59

library(tidyverse)

example %>% 
  pivot_longer(cols = starts_with("es"), names_to = "type", names_prefix = "es_", values_to = "es") %>%
  pivot_longer(cols = starts_with("pwr"), names_to = "pwr", names_prefix = "pwr_") %>% 
  filter(substr(type, 1, 3) == substr(pwr, 1, 3)) %>% 
  mutate(pwr = parse_number(pwr)) %>% 
  arrange(pwr, es, type)

Source https://stackoverflow.com/questions/70969176

QUESTION

Simulating Random Draws From a "Hat"

Asked 2021-Dec-28 at 21:50

Suppose I have the following 10 variables (num_var_1, num_var_2, num_var_3, num_var_4, num_var_5, factor_var_1, factor_var_2, factor_var_3, factor_var_4, factor_var_5):

...

ANSWER

Answered 2021-Dec-26 at 10:11

You may define a function FUN(n) that creates a data set as shown in OP.

Source https://stackoverflow.com/questions/70483731

QUESTION

Break Apart a String into Separate Columns R

Asked 2021-Dec-17 at 20:39

I am trying to tidy up some data that is all contained in 1 column called "game_info" as a string. This data contains college basketball upcoming game data, with the Date, Time, Team IDs, Team Names, etc. Ideally each one of those would be their own column. I have tried separating with a space delimiter, but that has not worked well since there are teams such as "Duke" with 1 part to their name, and teams with 2 to 3 parts to their name (Michigan State, South Dakota State, etc). There also teams with "-" dashes in their name.

Here is my data:

...

ANSWER

Answered 2021-Dec-16 at 15:25

Here's one with regex. See regex101 link for the regex explanations

Source https://stackoverflow.com/questions/70381064

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install seapy

Install from conda-forge with the Conda package manager:. You should also consider making conda-forge your default channel. See the conda-forge tips and tricks page. The Conda-Forge SEAPY feedstock is maintained by Filipe Fernandes, ocefpaf. As of February 2021 there are binary packages on all the platforms that Conda-Forge supports: Python 3.6 through 3.9 on Linux, Windows and Mac OSX (all 64-bit).
Install from PyPI with PIP:. Note that on PyPI (but nowhere else) the package name is seapy-ocean to avoid a name clash with another package. The module name is still seapy. SEAPY packages on PyPI have been built and uploaded by Mark Hadfield, hadfieldnz. There is a source distribution that should build with no problems on Linux (and Mac OSX, but we haven't tested it). In the pst there have been binary distributions for Windows (64-bit), but these have now been deleted as binary builds with PIP are no longer supported. In a Conda environment, it is quite possible to install with PIP, but dependency handling and updating will be cleaner if you use the Conda package.
The SEAPY source code is maintained by Brian Powell, (powellb)[https://github.com/powellb]. Releases are made on the master branch.

Support

If you've installed from source in editable mode, then you should definitely consider forking your own copy of the repository. This allows you to keep your changes under revision control on GitHub.com and potentially contribute them to the main project. You should follow the procedures described in this Git Workflow document. Forking on GitHub.com is a lightweight process that won't complicate your workflow and keeps the relationship between your work and the original project clear, so it is strongly advised to do it early. However the immutable and unique nature of Git commits means that you can create and populate a fork later if you want to, as long as you have saved your work somewhere in Git format. To create a fork you will need a GitHub.com user account. All your changes should be committed to a branch other than "master", which is reserved for the master branch in Brian Powell's repository (or copies thereof). A common practice in the existing SEAPY forks is to use a branch name matching your user name for your own work. However if you are developing a specific feature or bug fix to be pulled into master, it may be sensible to name the branch after that feature or bug fix.

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