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qtl | A friendly and lightweight C database library for MySQL | Database library

 by   znone C++ Version: Current License: Apache-2.0

 by   znone C++ Version: Current License: Apache-2.0

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kandi X-RAY | qtl Summary

qtl is a C++ library typically used in Database applications. qtl has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.
When accessing MySQL, include the header file qtl_mysql.hpp.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • qtl has a low active ecosystem.
  • It has 102 star(s) with 46 fork(s). There are 9 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 5 open issues and 4 have been closed. On average issues are closed in 513 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of qtl is current.
qtl Support
Best in #Database
Average in #Database
qtl Support
Best in #Database
Average in #Database

quality kandi Quality

  • qtl has 0 bugs and 0 code smells.
qtl Quality
Best in #Database
Average in #Database
qtl Quality
Best in #Database
Average in #Database

securitySecurity

  • qtl has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • qtl code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
qtl Security
Best in #Database
Average in #Database
qtl Security
Best in #Database
Average in #Database

license License

  • qtl is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
qtl License
Best in #Database
Average in #Database
qtl License
Best in #Database
Average in #Database

buildReuse

  • qtl releases are not available. You will need to build from source code and install.
  • Installation instructions are not available. Examples and code snippets are available.
qtl Reuse
Best in #Database
Average in #Database
qtl Reuse
Best in #Database
Average in #Database
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qtl Key Features

A friendly and lightweight C++ database library for MySQL, PostgreSQL, SQLite and ODBC.

Open database

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qtl::mysql::database db;
db.open("localhost", "root", "", "test");

Execute SQL

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uint64_t id=db.insert("insert into test(Name, CreateTime) values(?, now())", "test_user");

MySQL parameter data binding

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typedef std::function<void(std::ostream&)> blob_writer;

MySQL field data binding

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void read_blob(qtl::blobbuf& buf) {
	istream s(&buf);
	...
};

Blob field in SQLite

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int64_t id=db->insert("INSERT INTO test_blob (Filename, Content, MD5) values(?, ?, ?)",
	forward_as_tuple("sample", qtl::const_blob_data(nullptr, 1024), nullptr));

qtl::sqlite::blobstream bs(*db, "test_blob", "Content", id);
generate_n(ostreambuf_iterator<char>(bs), bs.blob_size()/sizeof(char), [i=0]() mutable { 
	return char('0'+(i++)%10);
});
copy(istream_iterator<char>(bs), istream_iterator<char>(), ostream_iterator<char>(cout, nullptr));
cout<<endl;

MySQL

copy iconCopydownload iconDownload
CREATE TABLE test (
  ID int NOT NULL AUTO_INCREMENT,
  Name varchar(32) NOT NULL,
  CreateTime timestamp NOT NULL DEFAULT '0000-00-00 00:00:00' ON UPDATE CURRENT_TIMESTAMP,
  PRIMARY KEY (ID)
);

CREATE TABLE test_blob (
  ID int unsigned NOT NULL AUTO_INCREMENT,
  Filename varchar(255) NOT NULL,
  Content longblob,
  MD5 binary(16) DEFAULT NULL,
  PRIMARY KEY (ID)
);

PostgreSQL

copy iconCopydownload iconDownload
DROP TABLE IF EXISTS test;
CREATE TABLE test (
  id int4 NOT NULL GENERATED BY DEFAULT AS IDENTITY (
INCREMENT 1
MINVALUE  1
MAXVALUE 2147483647
START 1
),
  name varchar(255) COLLATE default,
  createtime timestamp(6)
)
;

ALTER TABLE test ADD CONSTRAINT test_pkey PRIMARY KEY ("id");

DROP TABLE IF EXISTS test_blob;
CREATE TABLE test_blob (
  id int4 NOT NULL GENERATED BY DEFAULT AS IDENTITY (
INCREMENT 1
MINVALUE  1
MAXVALUE 2147483647
START 1
),
  filename varchar(255) COLLATE default NOT NULL,
  md5 bytea,
  content oid
)
;

ALTER TABLE test_blob ADD CONSTRAINT test_blob_pkey PRIMARY KEY ("id");

Add second facet grid or second discrete y-axis label GGPlot2

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p <-
  ggplot(df2, aes(x=tissue, y=qtl, size=value))+
  geom_point()+
  facet_nested(qtl + gene ~ .) +
  
  theme(axis.title.x = element_blank(),
        axis.text.x = element_text(size=8,angle = 90, hjust=1, vjust=0.2),
        axis.title.y = element_blank(),
        axis.text.y = element_text(size=8),
        axis.ticks.y = element_blank(),
        axis.line = element_line(color = "black"),
        strip.text.y.left = element_text(size = 8, angle=0),
        strip.background = element_rect(fill='white', color="black"),
        panel.spacing.y = unit(0.5, "lines"),
        strip.placement = "outside",
        panel.background = element_blank(),
        panel.grid.major = element_line(colour = "#ededed", size = 0.5))
p

Community Discussions

Trending Discussions on qtl
  • Add second facet grid or second discrete y-axis label GGPlot2
Trending Discussions on qtl

QUESTION

Add second facet grid or second discrete y-axis label GGPlot2

Asked 2022-Feb-10 at 19:59

Suppose I have this dataframe:

library(ggplot2)
library(dplyr)
library(readr)
library(magrittr)
library(tidyr)

df2 <- data.frame(tissue = c("Blood", "Nerve", "Stomach", "Liver", "Blood", "Kidney"),
                  qtl = c("e", "s", "e", "e", "s", "s"),
                  gene = c("gene1", "gene1", 
                           "gene2", "gene2",
                           "gene3", "gene4"),
                  value = c(0.4, 0.2, 0.1, 0.9, 0.5, 0.3),
                  second_label = c("label1", "label1", "label1","label1",
                                  "label2", "label2"))

And I plot it as such:

ggplot(df2, 
       aes(x=tissue, y=qtl,
           size=value))+
  geom_point()+
  facet_grid(rows = vars(gene),
             scales = "free", 
             space='free',
             switch = "y")+
  theme(axis.title.x = element_blank(),
        axis.text.x = element_text(size=8,angle = 90, hjust=1, vjust=0.2),
        axis.title.y = element_blank(),
        axis.text.y = element_text(size=8),
        axis.ticks.y = element_blank(),
        axis.line = element_line(color = "black"),
        strip.text.y.left = element_text(size = 8, angle=0),
        strip.background = element_blank(),
        panel.spacing.y = unit(0.5, "lines"),
        strip.placement = "outside",
        panel.background = element_blank(),
        panel.grid.major = element_line(colour = "#ededed", size = 0.5))

This code yields the plot below (see first image)

enter image description here

However, I want to add a second facet wrap, being the "loci" and place it on the right side of the figure.

enter image description here

Is this possible? I know in facet_grid, you can do it where one variable is the column and the other is the row, but I haven't seen how to do it where both are rows.

I've looked into adding a secondary y-axis with sec.axis but that seems to only be for continuous variables.

Thanks in advance!

ANSWER

Answered 2022-Feb-10 at 19:59

I highly recommend the ggh4x package (github link here), which can handle this issue nicely via nested facets via facet_nested(). Here, you facet according to df2$gene, but indicate the nesting of those facets happens according to df2$qtl.

Here's an example of code that shows you some basic functionality applied to df2. Note I changed some strip background formatting to make the faceting more clear. There's a lot of other options that might work better for you in that package.

p <-
  ggplot(df2, aes(x=tissue, y=qtl, size=value))+
  geom_point()+
  facet_nested(qtl + gene ~ .) +
  
  theme(axis.title.x = element_blank(),
        axis.text.x = element_text(size=8,angle = 90, hjust=1, vjust=0.2),
        axis.title.y = element_blank(),
        axis.text.y = element_text(size=8),
        axis.ticks.y = element_blank(),
        axis.line = element_line(color = "black"),
        strip.text.y.left = element_text(size = 8, angle=0),
        strip.background = element_rect(fill='white', color="black"),
        panel.spacing.y = unit(0.5, "lines"),
        strip.placement = "outside",
        panel.background = element_blank(),
        panel.grid.major = element_line(colour = "#ededed", size = 0.5))
p

enter image description here

Source https://stackoverflow.com/questions/71070730

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

Vulnerabilities

No vulnerabilities reported

Install qtl

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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