melt | Standalone nucleotide sequence melt temp calculator

by eclarke Python Version: 1.0.4 License: AGPL-3.0

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | melt Summary

melt is a Python library. melt has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install melt' or download it from GitHub, PyPI.

Standalone nucleotide sequence melt temp calculator for Python

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Support

melt has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 0 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of melt is 1.0.4

Quality

melt has no bugs reported.

Security

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

License

melt is licensed under the AGPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

melt releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed melt and discovered the below as its top functions. This is intended to give you an instant insight into melt implemented functionality, and help decide if they suit your requirements.

r Calculate the temperature from a string .
Entry point for the main function .
Calculate the correlation coefficient .
Return the number of occurrences of p .
Check if seq is a symbol .
Validate a nucleotide sequence .

Get all kandi verified functions for this library.

melt Key Features

No Key Features are available at this moment for melt.

melt Examples and Code Snippets

No Code Snippets are available at this moment for melt.

Community Discussions

Trending Discussions on melt

How to connect boxplots with a mean line

Why i can't plot a smoothing curve in ggplot2

How to add group labels on the end of ggplot2 curves

Plot points from multiple series as one and keep order of initial dataframe in ggplot2

Calculate the mean score of every row for a specific time

Merge function duplicates all rows

How to transform a large data frame

Plot multiple series where each series have a distinct line type and specific part of each series colored differently using ggplot2

multiple fisher test on row of dataframe

Pb when mutating melted data : i got numbers instead the group name

QUESTION

How to connect boxplots with a mean line

Asked 2021-Jun-14 at 19:48

The following code:

...

ANSWER

Answered 2021-Jun-14 at 19:47

Calculate the mean for each group, and then add them to the existing ax with a seaborn.lineplot
Set dodge=False in the seaborn.boxplot
Remember that the line in the boxplot is the median, not the mean.
- Add the means to boxplot with showmeans=True, and then remove marker='o' from the lineplot, if desired.
As pointed out JohanC's answer:
- sns.pointplot(data=dfm, x='variable', y='value', hue='parametrized_factor', ax=ax) can be used without the need for calculating dfm_mean, however there isn't a legend=False parameter, which then requires manually managing the legend.
- Also, I think it's more straightforward to use dodge=False than to calculate the offsets.
- Either answer is viable, depending on your requirements.

Source https://stackoverflow.com/questions/67975303

QUESTION

Why i can't plot a smoothing curve in ggplot2

Asked 2021-Jun-14 at 14:09

Good afternoon ,

Assume we have the following code where i'm trying to plot ggplot2 smoothing curve :

...

ANSWER

Answered 2021-Jun-14 at 14:09

ROC(melded) will work, when you dont use "print(melted)" at the end of your function. Instead, just let the ggplot command be the last command in the function ROC<-function(melted). Then the ggplot will be the output.

Source https://stackoverflow.com/questions/67971231

QUESTION

How to add group labels on the end of ggplot2 curves

Asked 2021-Jun-14 at 12:13

Good afternoon ,

Assume we have the following long data :

...

ANSWER

Answered 2021-Jun-14 at 12:13

Here is one way using ggrepel library -

Source https://stackoverflow.com/questions/67969504

QUESTION

Plot points from multiple series as one and keep order of initial dataframe in ggplot2

Asked 2021-Jun-14 at 11:24

I have a dataset with multiple variables and wish to plot them on one graph as one series so that I can plot a "trendline" through the datapoints. However, it's important that the order is the same as the row names in the original dataframe.

I can plot the points as so:

...

ANSWER

Answered 2021-Jun-14 at 11:24

To maintain the same order as rownames of the orignal dataframe you can do -

Source https://stackoverflow.com/questions/67969247

QUESTION

Calculate the mean score of every row for a specific time

Asked 2021-Jun-13 at 22:19

Using as input a data frame like this one:

...

ANSWER

Answered 2021-Jun-13 at 22:19

We can reshape into 'long' format with pivot_longer and do the group by mean

Source https://stackoverflow.com/questions/67962995

QUESTION

Merge function duplicates all rows

Asked 2021-Jun-13 at 10:52

There seem to be lots of similar questions, but I cannot find the answer I need. So hopefully someone is able to help me.

Here are my two dataframes:

...

ANSWER

Answered 2021-Jun-13 at 10:52

Instead of merge I think you should rbind the two datasets. For clarity you can then get the data in wide format so that you have only 1 row for each country.

Source https://stackoverflow.com/questions/67956859

QUESTION

How to transform a large data frame

Asked 2021-Jun-12 at 22:08

I'd like to transform the following data frame, but can't seem to get the right function to do it. Any time I use 'melt', I am prompted to convert to an array, though an array does not seem to accept column names.

In any case, any help with turning this:

A B C1 C1.A C2 C2.A PC 11001 Core Old SE New

Into this:

A B C C.A PC 11001 Core Old PC 11001 SE New

Would be greatly appreciated.

Code for the first and second df's, respectively.

...

ANSWER

Answered 2021-Jun-12 at 18:00

With a little column reformatting, pd.wide_to_long can be used:

Source https://stackoverflow.com/questions/67951305

QUESTION

Plot multiple series where each series have a distinct line type and specific part of each series colored differently using ggplot2

Asked 2021-Jun-12 at 02:06

I want to plot multiple series where each series have a distinct line type and specific part of each series colored differently using ggplot2.

I prepared the data and plot it as follows:

...

ANSWER

Answered 2021-Jun-12 at 00:29

You need to create another data point to connect the line. For example

Source https://stackoverflow.com/questions/67944436

QUESTION

multiple fisher test on row of dataframe

Asked 2021-Jun-11 at 09:21

I am a begeinner in R and would like to make multiple fisher tests on mutiple row of a dataframe and add the p value/odd ratio on a barplot but need some help.

Here are my data

...

ANSWER

Answered 2021-Jun-11 at 09:21

Something like this, get the combinations:

Source https://stackoverflow.com/questions/67932777

QUESTION

Pb when mutating melted data : i got numbers instead the group name

Asked 2021-Jun-10 at 18:42

Assume we have the following melted data :

...

ANSWER

Answered 2021-Jun-10 at 18:27

The issue is that the column 'variable' is factor and thus ifelse converts it to integer storage mode. An option would be to use this in case_when with the reverse logic and not specify the TRUE so that the default will be NA.

Source https://stackoverflow.com/questions/67926570

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

Vulnerabilities

No vulnerabilities reported

Install melt

You can install using 'pip install melt' or download it from GitHub, PyPI.
You can use melt like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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