table | represents slice data in a text table | Grid library
kandi X-RAY | table Summary
kandi X-RAY | table Summary
[GoDoc] Produces a string that represents slice of structs data in a text table, inspired by gajus/table.
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Top functions reviewed by kandi - BETA
- parse converts a slice of struct fields into columns .
- table builds a table .
- StringLength returns the length of a rune
- sliceconv converts a slice to a slice .
- Table converts a slice into a table .
- AsciiTable converts a slice into a table .
- repeat times
- Output prints a table .
- Output a slice of strings .
table Key Features
table Examples and Code Snippets
Lines of Code : 21License : Non-SPDX (Apache License 2.0)
Copydef _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():
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
Trending Discussions on table
QUESTION
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 03:41You 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.
QUESTION
Let's say I have the following table:
...ANSWER
Answered 2021-Jun-16 at 00:51Standard SQL offers listagg() to aggregate strings. So this looks something like:
QUESTION
I have a dynamic query that adds WHERE clauses according to the parameters received:
...ANSWER
Answered 2021-Jun-15 at 23:39I found the answer with the following lines of code:
QUESTION
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 11:53You 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.
QUESTION
I have two tables as follows:
...ANSWER
Answered 2021-Jun-15 at 19:02select 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
QUESTION
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 00:02Use 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.
QUESTION
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 worddf2:
id data 1 a 2 b 3 cOutput I'm seeking:
df2
id data Value 1 a word 2 b word 3 c wordI figured that this was along the right lines, but it listed out NaN for all rows:
...ANSWER
Answered 2021-Jun-15 at 23:59Just get the first element in the value column of df1 and assign it to value column of df2
QUESTION
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 20:22There 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.
QUESTION
So, if I had a data table like this:
...ANSWER
Answered 2021-Jun-15 at 23:07One solution is to use tidyverse functions group_by() and summarise():
QUESTION
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 nandf2:
2 key door house Name a nan nan nan b nan nan nan c nan nan nan d nan nan nandesired 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 23:03Try with stack + pivot_table with aggfunc='first' to get the first match
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