rolling | Computationally efficient rolling window iterators | Learning library

 by   ajcr Python Version: 0.5.0 License: MIT

kandi X-RAY | rolling Summary

kandi X-RAY | rolling Summary

rolling is a Python library typically used in Tutorial, Learning, Example Codes applications. rolling 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 rolling' or download it from GitHub, PyPI.

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            kandi-support Support

              rolling has a low active ecosystem.
              It has 188 star(s) with 9 fork(s). There are 8 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 16 open issues and 9 have been closed. On average issues are closed in 226 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of rolling is 0.5.0

            kandi-Quality Quality

              rolling has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              rolling is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              rolling 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.
              rolling saves you 591 person hours of effort in developing the same functionality from scratch.
              It has 1377 lines of code, 167 functions and 22 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed rolling and discovered the below as its top functions. This is intended to give you an instant insight into rolling implemented functionality, and help decide if they suit your requirements.
            • Update the buffer
            • Removes a link from the tree
            • Decrement an item
            • Increment an item
            • Return the most common item
            • Update the window with new values
            • Remove old value from buffer
            • Add a new value
            • Checks if the current value is in the buffer
            • Check if two sequences are equal
            • Update the window
            • Removes the oldest element from the buffer
            • Update the current window
            • Insert new node at given value
            • Add new item
            • Remove the oldest item from the queue
            • Add a new value to the buffer
            • Remove old item from buffer
            • Return the current value of the node
            Get all kandi verified functions for this library.

            rolling Key Features

            No Key Features are available at this moment for rolling.

            rolling Examples and Code Snippets

            No Code Snippets are available at this moment for rolling.

            Community Discussions

            QUESTION

            How to add multiple dataframe columns to the basic mplfinance plot()
            Asked 2021-Jun-15 at 01:49
            import yfinance as yf
            msft = yf.Ticker('MSFT')
            data = msft.history(period='6mo')
            import mplfinance as mpf
            
            data['30 Day MA'] = data['Close'].rolling(window=20).mean()
            data['30 Day STD'] = data['Close'].rolling(window=20).std()
            data['Upper Band'] = data['30 Day MA'] + (data['30 Day STD'] * 2)
            data['Lower Band'] = data['30 Day MA'] - (data['30 Day STD'] * 2)
            
            apdict = (
                    mpf.make_addplot(data['Upper Band'])
                    , mpf.make_addplot(data['Lower Band'])
                    )
            mpf.plot(data, volume=True, addplot=apdict)
            
            ...

            ANSWER

            Answered 2021-Jun-15 at 01:49
            • As per Adding plots to the basic mplfinance plot(), section Plotting multiple additional data sets
              • Aside from the example below, for two columns from a dataframe, the documentation shows a number of ways to configure an appropriate object for the addplot parameter.
              • apdict = [mpf.make_addplot(data['Upper Band']), mpf.make_addplot(data['Lower Band'])] works as well. Note it's a list, not a tuple.
            • mplfinance/examples

            Source https://stackoverflow.com/questions/67978325

            QUESTION

            AttributeError: module 'embed storage' has no attribute 'help_command'
            Asked 2021-Jun-14 at 17:28

            I have this module I made for a discord.py bot (not a COG though). It clearly has the function "help_command" defined but whenever I try to run it it gives me the above error. I couldn't wrap my head around it so I thought it might worth it to ask the community.

            discord_main.py

            ...

            ANSWER

            Answered 2021-Jun-14 at 17:28

            I think the problem is that you are importing from discord_main in embed_storage and vice-versa.

            You need to resolve this somehow or, if there is no other way, you could move the import into the function definition, e.g. in embed_storage.py:

            Source https://stackoverflow.com/questions/67974081

            QUESTION

            Rolling window calculation is added to the dataframe as a column of NaN
            Asked 2021-Jun-14 at 15:20

            I have a data frame that is indexed from 1 to 100000 and I want to calculate the slope for every 12 steps. Is there any rolling window for that?

            I did the following, but it is not working. The 'slope' column is created, but all of the values as NaN.

            ...

            ANSWER

            Answered 2021-Jun-14 at 15:14
            1. It's not necessary to use .groupby because there is only 1 record per day.
            2. Don't use .reset_index(0, drop=True) because this is dropping the date index. When you drop the index from the calculation, it no longer matches the index of df, so the data is added as NaN.
              • df['Close'].rolling(window=days_back, min_periods=days_back).apply(get_slope, raw=True) creates a pandas.Series. When assigning a pandas.Series to a pandas.DataFrame as a new column, the indices must match.

            Source https://stackoverflow.com/questions/67971902

            QUESTION

            variable window calculation in pandas
            Asked 2021-Jun-13 at 19:06

            I want to count the frequency for a certain event from 1 to x in a series. then start again with 1.

            The event is a number below or above zero. It only want to count if the number is below zero.

            What I have already coded:

            ...

            ANSWER

            Answered 2021-Jun-13 at 19:06

            Try with groupby cumsum on groups based on where negative is 0:

            Source https://stackoverflow.com/questions/67961506

            QUESTION

            Logging console error of UI application into AWS
            Asked 2021-Jun-12 at 19:50

            I am new to vue js and front end development. How can I direct the console errors and API errors from front end application that is running on user's browser to cloud watch logs.

            I know that in Java backend development, we can use log4j to log the errors to a rolling log file and wire those logs to cloudwatch log groups (so I can monitor cloudwatch logs for any potential errors or warnings). How can I have similar functionality for logging console and API errors from front end vue js application to cloud watch logs

            ...

            ANSWER

            Answered 2021-Apr-22 at 01:19

            There really isn't a great way to do this from a security standpoint. You'd have to expose your cloudwatch log stream to the world essentially.

            You can use npm packages like winston-cloudwatch for this fairly easily, but you have to more or less "hardcode" your credentials since a frontend/vue app runs in the users browser. They'll always be able to see the credentials you're sending along which makes them meaningless.

            With that being said, there really isn't any risk of someone doing anything malicious besides sending dirty messages to your logs.

            Source https://stackoverflow.com/questions/66978345

            QUESTION

            rolling value based on an inequality *rolling* condition of a column in data.table R
            Asked 2021-Jun-11 at 09:28

            I've got a large data.table (~50M rows) with multiple ID columns (ID1, ID2) that groups rows. I'd like to shift the Value column based on an inequality rolling condition as i will outline below. what is rolling condition? I just made that term up. It means the condition changes (rolls) too.

            ...

            ANSWER

            Answered 2021-Jun-11 at 09:28

            Here's one way to do it:

            Source https://stackoverflow.com/questions/67934122

            QUESTION

            Request param is logged in access log with embedded jetty server of spring boot application
            Asked 2021-Jun-11 at 06:12

            I have got an issue with my application, it logs request along with its query param which may contain sensitive data in access log. application is configured with logback.xml & embedded jetty.

            jetty server is customized with below accessLogCustomer

            ...

            ANSWER

            Answered 2021-Jun-01 at 12:19

            Use the CustomRequestLog and Slf4jRequestLogWriter instead.

            You'll want the special format option %U which emits the URL path, without the query string (which is available as %q btw)

            Your resulting configuration would look like this ...

            Source https://stackoverflow.com/questions/67635098

            QUESTION

            StatefulSet update: recreate THEN delete pods
            Asked 2021-Jun-11 at 04:13

            The Kubernetes StatefulSet RollingUpdate strategy deletes and recreates each Pod in order. I am interested in updating a StatefulSet by recreating a pod and then deleting the old Pod (note the reversal), one-by-one.

            This is interesting to me because:

            1. There is no reduction in the number of Ready Pods. I understand this is how a normal Deployment update works too (i.e. a Pod is only deleted after the new Pod replacing it is Ready).
            2. More importantly, it allows me to perform application-specific live migration during my StatefulSet upgrade. I would like to "migrate" data from (old) pod-i to (new) pod-i before (old) pod-i is terminated (I would implement this in (new) pod-i readiness logic).

            Is such an update strategy possible?

            ...

            ANSWER

            Answered 2021-Jun-10 at 23:04

            No, because pods have specific names based on their ordinal (-0, -1, etc) and there can only be one pod at a time with a given name. Deployments and DaemonSets can burst for updates because their names are randomized so it doesn't matter what order you do things in.

            Source https://stackoverflow.com/questions/67929152

            QUESTION

            Count ones in (sliding) window in pandas column
            Asked 2021-Jun-10 at 16:26

            I'm working on anomaly detection project. The result so far is a data frame consisting of a column (of the model) consisting only of "1" and "-1" (for the normal and anomal data points).

            ...

            ANSWER

            Answered 2021-Jun-10 at 16:26

            See where mod1 is equal to -1 and then do a rolling sum on the boolean values.

            Source https://stackoverflow.com/questions/67924858

            QUESTION

            JS datatables returning blank rows
            Asked 2021-Jun-10 at 15:32

            My datatable is returning 982 blank rows and I'm really lost as to why! I also get this error message:

            ...

            ANSWER

            Answered 2021-Jun-10 at 15:32

            Is this what you want? This error will indicate that a column which uses columns.data has been unable to obtain valid data to display - for example: would produce this error if the data source object for the row had no Name parameter or the data was null or undefined.

            Source https://stackoverflow.com/questions/67906462

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

            Vulnerabilities

            No vulnerabilities reported

            Install rolling

            You can install the module using pip:.

            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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            Install
          • PyPI

            pip install rolling

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            https://github.com/ajcr/rolling.git

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            gh repo clone ajcr/rolling

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            git@github.com:ajcr/rolling.git

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