table | React Table | Grid library

 by   react-component TypeScript Version: v7.32.1 License: MIT

kandi X-RAY | table Summary

kandi X-RAY | table Summary

table is a TypeScript library typically used in User Interface, Grid, React applications. table has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

React table component with useful functions.
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            kandi-support Support

              table has a medium active ecosystem.
              It has 1150 star(s) with 544 fork(s). There are 46 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 95 open issues and 170 have been closed. On average issues are closed in 61 days. There are 57 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of table is v7.32.1

            kandi-Quality Quality

              table has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              table 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

              table releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of table
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            table Key Features

            No Key Features are available at this moment for table.

            table Examples and Code Snippets

            Create the distributed table if necessary .
            pythondot img1Lines of Code : 21dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _maybe_build_distributed_table(self):
                """Create table objects and resources on each worker if hasn't been created."""
                with self._distributed_table_creation_lock:
                  if not self._distributed_table:
            
                    def create_copy():
                        
            Create a new distributed table resource .
            pythondot img2Lines of Code : 12dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _maybe_build_distributed_table(self):
                """Create table objects and resources on each worker if hasn't been created."""
                with self._distributed_table_creation_lock:
                  if not self._distributed_table:
            
                    def create_copy():
                        

            Community Discussions

            QUESTION

            How to produce a point graph in R like this?
            Asked 2021-Jun-16 at 04:05

            I have basically this very odd type of data frame:

            The first column is the name of the States (say I have 3 states), the second to the last column (say I have 5 columns) contains some values recorded at different dates (not continuous). I want to create a graph that plots the values for each State on the range of the dates that starts from the earliest and end in the latest dates (continuous).

            The table looks like this:

            state 2020-01-01 2020-01-05 2020-01-06 2020-01-10 AZ NA 0.078 -0.06 NA AK 0.09 NA NA 0.10 MS 0.19 0.21 NA 0.38

            "NA" means there is not data.

            How do I produce this graph in which the x axis is from 2020-01-01 to 2020-01-10 (continuous), the y axis contains the changing values (as points) of the three States, each state occupies its separate (segmented) y-axis?

            Thank you.

            ...

            ANSWER

            Answered 2021-Jun-16 at 03:41

            You can get the data into a long format, which makes it easier to plot. R will make it difficult to read column names that start with a number. While reading the data, ensure that you have check.names = FALSE so that column names are read as is.

            Source https://stackoverflow.com/questions/67995623

            QUESTION

            SQL conditional aggregation?
            Asked 2021-Jun-16 at 03:49

            Let's say I have the following table:

            ...

            ANSWER

            Answered 2021-Jun-16 at 00:51

            Standard SQL offers listagg() to aggregate strings. So this looks something like:

            Source https://stackoverflow.com/questions/67995022

            QUESTION

            Run a dynamic SQL query from a store procedure to populate a GridView
            Asked 2021-Jun-16 at 01:31

            I have a dynamic query that adds WHERE clauses according to the parameters received:

            ...

            ANSWER

            Answered 2021-Jun-15 at 23:39

            I found the answer with the following lines of code:

            Source https://stackoverflow.com/questions/67993827

            QUESTION

            How to convert message.text to string and save it to database. How to download photo by telegram bot. TelegramBotAPI
            Asked 2021-Jun-16 at 01:16

            I want save photo and add name of file and text of message to database.(Also in this database I have status of request and user, how make request, this 2 columns works ok)

            Database:

            ...

            ANSWER

            Answered 2021-Jun-15 at 11:53

            You are writing message.text into the database inside the photo function. However, that function is only triggered for messages containing a photo. When the message contains a photo, message.text is None. Any caption the photo might have will be in message.caption.

            Source https://stackoverflow.com/questions/67984671

            QUESTION

            Sum of two counts from one table with additional data from another table
            Asked 2021-Jun-16 at 00:15

            I have two tables as follows:

            ...

            ANSWER

            Answered 2021-Jun-15 at 19:02
            select user_id,name
             , count(case when col_a = true then 1 end)
             + count(case when col_b = true then 1 end) total
            from tableA a
            join TableB b on a.user_id= b.id 
            group by user_id,name
            

            Source https://stackoverflow.com/questions/67991911

            QUESTION

            Read file with Python while passing arguments
            Asked 2021-Jun-16 at 00:02

            I'm trying to read a file with this argument {year} inside it.

            Inside this file there is this string: SELECT * FROM TABLE WHERE YEAR = {year}

            I'd like to read this file with Python f-strings to use the query after.

            The expected result looks like this: SELECT * FROM TABLE WHERE YEAR = 2019

            I tried this:

            ...

            ANSWER

            Answered 2021-Jun-16 at 00:02

            Use str.format to replace the {year}.

            f-strings are literals and must be an expression. Python will not replace data in string, just because there is a variable of the same name in the bracket notation.

            Source https://stackoverflow.com/questions/67994705

            QUESTION

            append or join value from one dataframe to every row in another dataframe in Pandas
            Asked 2021-Jun-15 at 23:59

            I'm normally OK on the joining and appending front, but this one has got me stumped.

            I've got one dataframe with only one row in it. I have another with multiple rows. I want to append the value from one of the columns of my first dataframe to every row of my second.

            df1:

            id Value 1 word

            df2:

            id data 1 a 2 b 3 c

            Output I'm seeking:

            df2

            id data Value 1 a word 2 b word 3 c word

            I figured that this was along the right lines, but it listed out NaN for all rows:

            ...

            ANSWER

            Answered 2021-Jun-15 at 23:59

            Just get the first element in the value column of df1 and assign it to value column of df2

            Source https://stackoverflow.com/questions/67994592

            QUESTION

            Does opening a file in a child process create a separate entry in the system open file table in the kernel?
            Asked 2021-Jun-15 at 23:17

            I understand that after calling fork() the child process inherits the per-process file descriptor table of its parent (pointing to the same system-wide open file tables). Hence, when opening a file in a parent process and then calling fork(), both the child and parent can write to that file without overwriting one another's output (due to a shared offset in the open-file table entry).

            However, suppose that, we call open() on some file after a fork (in both the parent and the child). Will this create a separate entries in the system-wide open file table, with a separate set of offsets and read-write permission flags for the child (despite the fact that it's technically the same file)? I've tried looking this up and I don't seem to be able to find a clear answer.

            I'm asking this mainly since I was playing around with writing to files, and it seems like only one the outputs of the parent and child ends up in the file in the aforementioned situation. This seemed to imply that there are separate entries in the open file table for the two separate open calls, and hence separate offsets, so the slower process overwrites the output of the other process.

            To illustrate this, consider the following code:

            ...

            ANSWER

            Answered 2021-May-03 at 20:22

            There is a difference between a file and a file descriptor (FD).

            All processes share the same files. They don't necessarily have access to the same files, and a file is not its name, either; two different processes which open the same name might not actually open the same file, for example if the first file were renamed or unlinked and a new file were associated with the name. But if they do open the same file, it's necessarily shared, and changes will be mutually visible.

            But a file descriptor is not a file. It refers to a file (not a filename, see above), but it also contains other information, including a file position used for and updated by calls to read and write. (You can use "positioned" read and write, pread and pwrite, if you don't want to use the position in the FD.) File descriptors are shared between parent and child processes, and so the file position in the FD is also shared.

            Another thing stored in the file descriptor (in the kernel, where user processes can't get at it) is the list of permitted actions (on Unix, read, write, and/or execute, and possibly others). Permissions are stored in the file directory, not in the file itself, and the requested permissions are copied into the file descriptor when the file is opened (if the permissions are available.) It's possible for a child process to have a different user or group than the parent, particularly if the parent is started with augmented permissions but drops them before spawning the child. A file descriptor for a file opened in this manner still has the same permissions uf it is shared with a child, even if the child would itself be able to open the file.

            Source https://stackoverflow.com/questions/67375028

            QUESTION

            How to create new rows based on data from a different table (R)
            Asked 2021-Jun-15 at 23:17

            So, if I had a data table like this:

            ...

            ANSWER

            Answered 2021-Jun-15 at 23:07

            One solution is to use tidyverse functions group_by() and summarise():

            Source https://stackoverflow.com/questions/67994439

            QUESTION

            pandas returning column name as value if column name matches value of another data frame
            Asked 2021-Jun-15 at 23:15

            I've been stuck on this for a few weeks now....

            df1:

            2 1/1/2021 1/2/2021 1/3/2021 Name a door nan house b nan key door c nan house key d house key nan

            df2:

            2 key door house Name a nan nan nan b nan nan nan c nan nan nan d nan nan nan

            desired output=

            df2:

            2 key door house Name a nan 1/1/2021 1/3/2021 b 1/2/2021 1/3/2021 nan c 1/3/2021 nan 1/2/2021 d 1/2/2021 nan 1/1/2021 ...

            ANSWER

            Answered 2021-Jun-15 at 23:03

            Try with stack + pivot_table with aggfunc='first' to get the first match

            Source https://stackoverflow.com/questions/67993713

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

            Vulnerabilities

            No vulnerabilities reported

            Install table

            You can download it from GitHub.

            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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            gh repo clone react-component/table

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            git@github.com:react-component/table.git

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