mikeio | manipulate dfs0 , dfs1 , dfs2 , dfs3 , dfsu and mesh files | Object Storage library

by DHI Python Version: 2.0b1 License: BSD-3-Clause

X-Ray Key Features Code Snippets(3)Community Discussions(4)Vulnerabilities Install Support

kandi X-RAY | mikeio Summary

mikeio is a Python library typically used in Storage, Object Storage, JavaFX, Example Codes applications. mikeio has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However mikeio build file is not available. You can install using 'pip install mikeio' or download it from GitHub, PyPI.

[PyPI version] Read, write and manipulate dfs0, dfs1, dfs2, dfs3, dfsu and mesh files. Facilitates common data processing workflows for MIKE files.

Support

Quality

Security

License

Reuse

Support

mikeio has a low active ecosystem.

It has 108 star(s) with 49 fork(s). There are 11 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 17 open issues and 152 have been closed. On average issues are closed in 35 days. There are 11 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of mikeio is 2.0b1

Quality

mikeio has 0 bugs and 0 code smells.

Security

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

mikeio code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mikeio is licensed under the BSD-3-Clause License. This license is Permissive.

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

Reuse

mikeio releases are available to install and integrate.

Deployable package is available in PyPI.

mikeio has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

mikeio saves you 6791 person hours of effort in developing the same functionality from scratch.

It has 10394 lines of code, 762 functions and 50 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Reads a dataset
Parse selection selection
Return the list of 2D elements in the given area
Return the number of elements in the given area
Read a dataset
Parse elements and nodes
Return the shape of the spectral data
Concatenames two filenames
Clone a file
Write a header file
Write the Dataset to a file
Convert to 2D Geometry
Concatenate multiple datasets together
Return a Grid2D Grid2D
Return a GeometryPoint instance
Create a pandas DataFrame from this section
Find the index of an element
Reads data from a dataset
Returns a Dataset object
Find the first occurrence of the given coordinates
Compute a quantile quantile
Interpolate two datasets
Extract a single track
Write data to file
Interpolate this mesh with another
Interpolate two meshes

Get all kandi verified functions for this library.

mikeio Key Features

No Key Features are available at this moment for mikeio.

mikeio Examples and Code Snippets

Write timeseries from dataframe

Python

Lines of Code : 9

License : Permissive (BSD-3-Clause)

Copy

import pandas as pd
import mikeio
>>> df = pd.read_csv(
...         "tests/testdata/co2-mm-mlo.csv",
...         parse_dates=True,
...         index_col="Date",
...         na_values=-99.99,
...     )
>>> df.to_dfs0("mauna_loa.dfs0"

Items, units

Python

Lines of Code : 8

License : Permissive (BSD-3-Clause)

Copy

>>> from mikeio.eum import EUMType, EUMUnit
>>> EUMType.Temperature

>>> EUMType.Temperature.units
[degree Celsius, degree Fahrenheit, degree Kelvin]
>>> EUMUnit.degree_Kelvin
degree Kelvin

Read dfs2 data

Python

Lines of Code : 7

License : Permissive (BSD-3-Clause)

Copy

>>> ds = mikeio.read("gebco_sound.dfs2")
>>> ds

Dimensions: (time:1, y:264, x:216)
Time: 2020-05-15 11:04:52 (time-invariant)
Items:
  0:  Elevation  (meter)

Community Discussions

Trending Discussions on mikeio

Creating an ndarray from ragged nested sequences is deprecated ... you must specify 'dtype=object' when creating the ndarray

Extracting dfs0 from large dfs2 files

Reading Dfs0 file from 2011

Write a Non-equidistant dfs0

QUESTION

Creating an ndarray from ragged nested sequences is deprecated ... you must specify 'dtype=object' when creating the ndarray

Asked 2022-Jan-27 at 16:16

I'm trying to read an Excel spreadsheet and create a graph based on the data from certain columns. I'm using Python 3.6.2 since some libraries used in my script, do not work well in the newer versions.

This is my code:

...

ANSWER

Answered 2022-Jan-27 at 08:01

using sample 10 rows you provided. Replicated the error by setting SCREEN to nan for two rows
this is a data quality issue (I'm using python 3.9 and plotly 5.5.0)
two columns have this potential issue as you concatenate them together
have worked around by replacing nan with fillna() in target concatenated column

Source https://stackoverflow.com/questions/70867143

QUESTION

Extracting dfs0 from large dfs2 files

Asked 2020-Oct-30 at 07:32

I want to extract a dfs0 from a large dfs2 file and try:

...

ANSWER

Answered 2020-Oct-30 at 07:32

Currently, no elements or similar argument exists for Dfs2 read method (like it does for Dfsu). I think the read method should have such an argument, so please suggest this in https://github.com/DHI/mikeio/issues

I think your chunked version is a good way to handle the memory limitation.

Source https://stackoverflow.com/questions/64597708

QUESTION

Reading Dfs0 file from 2011

Asked 2020-Oct-02 at 08:11

I work at a company that had some work done at DHI in 2011. We have chosen to further analyse some of the data, but we only have it in Dfs0 format. I have installed the mikeio package, and written:

...

ANSWER

Answered 2020-Oct-02 at 08:11

Files with relative time axis are not very common, and was not possible to read with mikeio until recently.

Now it should be fine, as long as you are fine with that the time is defined relative to 1970-01-01 00:00.

Source https://stackoverflow.com/questions/64119884

QUESTION

Write a Non-equidistant dfs0

Asked 2020-Sep-29 at 07:10

I know how to create a equidistant dfs0.

...

ANSWER

Answered 2020-Sep-29 at 07:10

If you have your non-equidistant data in a pandas dataframe, you can export it to dfs0.

The index of the dataframe must be a DatetimeIndex.

Example:

Source https://stackoverflow.com/questions/64114555

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

Vulnerabilities

No vulnerabilities reported

Install mikeio

You can install using 'pip install mikeio' or download it from GitHub, PyPI.
You can use mikeio like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: