Data_Processing | NOAA NCEI LCD , Mesowest , Delaware Mesoenet | Dataset library

 by   allenea Python Version: Current License: GPL-3.0

kandi X-RAY | Data_Processing Summary

kandi X-RAY | Data_Processing Summary

Data_Processing is a Python library typically used in Artificial Intelligence, Dataset applications. Data_Processing has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However Data_Processing build file is not available. You can download it from GitHub.

Eric Allen, University of Delaware, Last Updated: 2/4/2019 Contact allenea@udel.edu with any questions. Program to process data and it's metadata for verification of wrf, analysis, plotting, etc. - Creates uniform format with quality control for each type of data. - Add a new directory and follow protocols for new sources of data - I'll take a closer look and make this better at some point when I have time...... Everything is ordered in the order it should be processed. Each data source Prep (Convert) then CombineAll. Then for all data Combine,Prep, QC. ** I rearranged some things and changed a few directory names to be more generic. If there is an issue check that first. **.
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              Data_Processing has a low active ecosystem.
              It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Data_Processing has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Data_Processing is current.

            kandi-Quality Quality

              Data_Processing has 0 bugs and 0 code smells.

            kandi-Security Security

              Data_Processing has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Data_Processing code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Data_Processing is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              Data_Processing releases are not available. You will need to build from source code and install.
              Data_Processing has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 3912 lines of code, 19 functions and 25 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            Data_Processing Key Features

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            Data_Processing Examples and Code Snippets

            No Code Snippets are available at this moment for Data_Processing.

            Community Discussions

            QUESTION

            Is there a way to get the perfect (proper format) values from web page using encoding in python?
            Asked 2022-Feb-09 at 17:55

            Problem : Things on webpage like AMD Ryzen™ 9 5950X, when i am getting it into csv file it shows up as : AMD Ryzenâ„¢ 9 5950X, 90°C shows up as 90°C. i have to write a function to get the exact(proper) values from the web page. i tried to capture and store these in .txt file. It shows up as perfectly normal values. Is excel/csv creating this problem? How can i solve this issue?

            config.ini

            ...

            ANSWER

            Answered 2022-Feb-09 at 17:55

            Microsoft software is infamous for assuming the contents of a file are encoded in the native Windows character encoding. If your file is written in something reasonable like UTF-8 it is likely to be misinterpreted.

            The way to get Microsoft applications like Excel to recognize UTF-8 properly is to put a byte order mark at the front of the file. Python can add this automatically if you open the file with encoding='utf_8_sig'.

            Source https://stackoverflow.com/questions/71048340

            QUESTION

            How to write seperate functions in seperate py files and execute it using main.py without using concept of class
            Asked 2022-Jan-27 at 13:42

            i am new to python and i am yet to learn the concept of oop,classes with python. i thought i understood functions. But i am facing issue while calling functions from different py file. Below code shows all my fuctions described in main.py i want to split main.py and get 2 other py files as data extraction.py and data processing.py i understand that it can be done using classes, but can we do it without using classes as well? i divided the code in two other files but i am getting error(please find my attached screenshot) please explain me what i can do here!

            main.py

            ...

            ANSWER

            Answered 2022-Jan-27 at 13:42

            Move the existing functions(ex. write_to_csv) to different file for example 'utility_functions.py'. Import it in main.py using from utility_functions import write_to_csv. Now you can use the function 'write_to_csv' in main.py as

            write_to_csv(all_keys)

            Edit In the main.pyfile use from data_extraction import data_extraction instead of import data_extraction

            In data_extraction.py file

            Remove lines from main import baseurl from main import all_keys

            It will throw variable undefined error, you can fix it by passing the variable in the function call.

            Source https://stackoverflow.com/questions/70874870

            QUESTION

            Custom Python Remove Interpreter with OpenVINO initialization
            Asked 2021-Oct-12 at 15:46

            I use PyCharm to connect to a remote interpreter (but I guess the answer is somewhat unrelated): basically, PyCharm connects to a remote Python interpreter through SSH and execute the code on a remote machine.

            The remote interpreter that I used is actually "tweaked". It is a file called mypython that contains the following code:

            ...

            ANSWER

            Answered 2021-Oct-12 at 15:46

            Possible solution:

            • log into the server using ssh
            • run source /opt/intel/openvino_2021.1.110/bin/setupvars.sh
            • run printenv Include all the variables into the mypython source code. I would still like to know if there is a way to run source /opt/intel/openvino_2021.1.110/bin/setupvars.sh within mypython source code.

            EDIT: in my caseremoving this from my environment variables fixed the issue:

            Source https://stackoverflow.com/questions/69533885

            QUESTION

            Failed to load the component rasa
            Asked 2021-Jul-29 at 05:42

            I am using rasa as a python library. Here is my directory structure

            ...

            ANSWER

            Answered 2021-Jul-28 at 12:18

            Could you add an empty __init__.py file to your components folder? That way the folder is detected as a Python module.

            Note that I'm assuming that you're running the rasa train command from the projects/rasa folder here.

            Source https://stackoverflow.com/questions/68556077

            QUESTION

            Why does my code only work in Google Colab but not on my local machine?
            Asked 2021-May-22 at 15:57

            I tried to run this code in Google Colab and it worked fine. If I run it on my home computer or connect Google Colab with my local computer it gives me Errors:

            ...

            ANSWER

            Answered 2021-May-22 at 15:57

            For anyone else looking for a solution for this problem: The function should not be:

            Source https://stackoverflow.com/questions/67649114

            QUESTION

            Problems with Dataframe.apply() in combine phase
            Asked 2021-May-21 at 16:01
            Issue

            I am trying to use DataFrame.apply() to add new columns to a dataframe. The number of columns being added is dependent on each row of the original dataframe. There is overlap between the columns created for each row, these overlapping columns should be represented by a single column.

            The apply function seems to work just fine on each individual row of the original dataframe, but throws ValueError: cannot reindex from a duplicate axis in the combine phase. I'm not sure how to isolate which axis is being duplicated, since it's hidden behind .apply()

            To make things more complicated, this process works on various subsets of the data (n = 23565), but for some reason when I try to apply to the whole dataframe it fails. I think there may be a handful of rows that are causing the issue, but I haven't been able to isolate exactly which rows.

            Any advice on isolating the error or clarifying the question is welcome.

            Background

            The original dataframe om contains columns representing scores, changes in scores, and the date range of the change in score. om is indexed on EntityID and Date, where EntityID is a unique identifier for the client receiving scores. I want to incorporate values from another dataframe, services, which contains information about services provided to clients indexed on date.

            For each row in om I want to perform the following transformation:

            • Filter service by EntityID and between om.ScoreDate and om.LastScoreDate
            • Find the sum of service.Total by service.Description
            • Append the resulting series to the original row
            Info on dataframes ...

            ANSWER

            Answered 2021-May-21 at 16:01

            The issue is that some of the new columns that were being created in pivot_services() had the exact same name as the existing domain score columns. To fix it I added a line to rename the items in the series before each row was returned.

            Source https://stackoverflow.com/questions/67593451

            QUESTION

            Kedro : Failed to find the pipeline named '__default__'
            Asked 2021-May-05 at 12:05

            Having issues with kedro. The 'register_pipelines' function doesn't seem to be running or creating the default Pipeline that I'm returning from it.

            The error is

            ...

            ANSWER

            Answered 2021-Mar-22 at 17:58

            What version of kedro are you on? There is a bit of a problem with kedro 0.17.2 where the true error is masked and will return the exception that you're seeing instead. It's possible that the root cause of the error is actually some other ModuleNotFoundError or AttributeError. Try doing a kedro install before kedro run and see if that fixes it.

            Source https://stackoverflow.com/questions/66751310

            QUESTION

            Cannot get boost::process to find gstreamer plugin
            Asked 2021-Mar-31 at 21:54

            I'm trying to load a gstreamer plugin using boost::process to call gst-launch.

            When I load the plugin via the command line everything works well:

            ...

            ANSWER

            Answered 2021-Mar-31 at 21:54

            QUESTION

            Numpy index error on boolean selection from two dimensional array
            Asked 2021-Mar-07 at 18:39

            I have two Python scripts with nearly identical code. One of them is working, the other fails with the error message

            ...

            ANSWER

            Answered 2021-Mar-07 at 18:39

            It looks like your issue is with the shape of array vp.

            Source https://stackoverflow.com/questions/66519381

            QUESTION

            LightGBM on Numerical+Categorical+Text Features >> TypeError: Unknown type of parameter:boosting_type, got:dict
            Asked 2021-Feb-20 at 12:10

            Im trying to train a lightGBM model on a dataset consisting of numerical, Categorical and Textual data. However, during the training phase, i get the following error:

            ...

            ANSWER

            Answered 2021-Feb-20 at 12:10

            You are setting up the classifier wrongly, this is giving you the error and you can easily try this before going to the pipeline:

            Source https://stackoverflow.com/questions/66290815

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

            Vulnerabilities

            No vulnerabilities reported

            Install Data_Processing

            You can download it from GitHub.
            You can use Data_Processing 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 .
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