dtale | Visualizer for pandas data structures | Data Visualization library

 by   man-group TypeScript Version: 3.12.0 License: LGPL-2.1

kandi X-RAY | dtale Summary

kandi X-RAY | dtale Summary

dtale is a TypeScript library typically used in Analytics, Data Visualization, Jupyter, Pandas applications. dtale has no bugs, it has no vulnerabilities, it has a Weak Copyleft License and it has medium support. You can download it from GitHub.

D-Tale is the combination of a Flask back-end and a React front-end to bring you an easy way to view & analyze Pandas data structures. It integrates seamlessly with ipython notebooks & python/ipython terminals. Currently this tool supports such Pandas objects as DataFrame, Series, MultiIndex, DatetimeIndex & RangeIndex.
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            kandi-support Support

              dtale has a medium active ecosystem.
              It has 4073 star(s) with 340 fork(s). There are 72 watchers for this library.
              There were 6 major release(s) in the last 12 months.
              There are 45 open issues and 468 have been closed. On average issues are closed in 159 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of dtale is 3.12.0

            kandi-Quality Quality

              dtale has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              dtale is licensed under the LGPL-2.1 License. This license is Weak Copyleft.
              Weak Copyleft licenses have some restrictions, but you can use them in commercial projects.

            kandi-Reuse Reuse

              dtale releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 43185 lines of code, 1381 functions and 657 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed dtale and discovered the below as its top functions. This is intended to give you an instant insight into dtale implemented functionality, and help decide if they suit your requirements.
            • Displays chart layout
            • Send GET request
            • Return a list of cleaner configs
            • Calculate chart style
            • Build and return a Flask application
            • Start the reaper thread
            • Check if a service is up
            • Clear the reaper
            • Display the data in D - Tale
            • Build a Dtale Flask application
            • Initialize a DataPlot instance
            • Edit a cell
            • Open a shelve database
            • Build filter
            • Build a column from data
            • Compute correlations for a given Data Collection
            • Retrieve grid data
            • Load application settings
            • Build a column builder
            • Build code
            • Build the extended aggregations
            • Compute variance of a variable
            • Build column from data
            • Predictors for a dataframe
            • Build a filter
            • Build a column replacement
            • Get a scatter plot
            • Initialize a data object
            Get all kandi verified functions for this library.

            dtale Key Features

            No Key Features are available at this moment for dtale.

            dtale Examples and Code Snippets

            No Code Snippets are available at this moment for dtale.

            Community Discussions

            QUESTION

            Date filter problems (python)
            Asked 2021-Oct-08 at 13:15

            I have some problems filtering a specific period of dates from my data frame.

            E.g. I'd need dates between 14/09/2014 - 30/09/2020. To get that, I used

            df = df.loc[(df['date'] >= '14/09/2014') and (df['date'] <= '30/08/2020')] (value error) as well as

            df = df.loc['14/09/2014':'30/08/2020'] --> which kind of worked but it also showed dates outside the specific range (e.g. 12/09/1965).

            For additional information: I set up my date column ('edate') as index column, see following code:

            df = pd.read_csv('https://manifestoproject.wzb.eu/down/data/2020b/datasets/MPDataset_MPDS2020b.csv', parse_dates=['date'], index_col='edate')

            Also, I use dtale to show the results via localhost.

            Can someone please explain why it shows further dates outside the range (when using the code with 14/09/2014:30/08/2020)? Also, I would be more than thankful if anyone could provide a solution to my problem!

            Best regards

            ...

            ANSWER

            Answered 2021-Oct-08 at 13:15

            There are 2 problems - for bitwise and is used & and for compare by datetimes is necessary format YYYY-MM-DD:

            Source https://stackoverflow.com/questions/69496287

            QUESTION

            Date filter not applied on localhost (but via Jupyter)
            Asked 2021-Oct-08 at 11:51

            Need to apply a date filter for my data frame (e.g. showing only data rows between 14/09/2014 and 30/08/2020).

            So far, my code looks like this:

            ...

            ANSWER

            Answered 2021-Oct-08 at 11:51

            Seems like you should show your data frame on dtale after filtering the data frame

            Source https://stackoverflow.com/questions/69495057

            QUESTION

            Python: replace values of a categorical variable to something else in a data frame
            Asked 2020-Dec-12 at 22:14

            i have a pandas data frame in which there's a column named label of categorical type having three categories as ('>5' , '<30' , 'NO'). I want to change ('>5' , '<30') these two categories to 'yes' and i can't seem to figure out how. I want to do this with python and also with dtale (python package).

            I have managed to do it in python this way:

            ...

            ANSWER

            Answered 2020-Dec-12 at 22:14

            You can use replace() and pass a list with the values to be replaced and then the parameter with replacement, it's a bit tidier when you want to replace multiple values with a unique one:

            Source https://stackoverflow.com/questions/65270244

            QUESTION

            removing python2 Mac as it is asking to upgrade
            Asked 2020-Oct-30 at 15:10

            I tried to install new packages such dtale, u8darts, but also upgrade old ones such statsmodels and many others but with not success and I have the following message:

            ...

            ANSWER

            Answered 2020-Oct-30 at 15:10

            I had merged the Anconda, all I needed to do was to revert to bash using the command below:

            Source https://stackoverflow.com/questions/64260726

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

            Vulnerabilities

            No vulnerabilities reported

            Install dtale

            You can download it from GitHub.

            Support

            Currently D-Tale support both english & chinese but other languages will gladly be supported. To add another language simply open a pull request with the following:.
            Find more information at:

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            Install
          • PyPI

            pip install dtale

          • CLONE
          • HTTPS

            https://github.com/man-group/dtale.git

          • CLI

            gh repo clone man-group/dtale

          • sshUrl

            git@github.com:man-group/dtale.git

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