freq | This is a repository for freq.py and freq_server.py | SMS library

by MarkBaggett Python Version: Current License: MIT

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

kandi X-RAY | freq Summary

freq is a Python library typically used in Messaging, SMS applications. freq has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However freq build file is not available. You can download it from GitHub.

This is a repository for freq.py and freq_server.py.

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Security

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Support

freq has a low active ecosystem.

It has 103 star(s) with 27 fork(s). There are 16 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 16 have been closed. On average issues are closed in 81 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of freq is current.

Quality

freq has 0 bugs and 0 code smells.

Security

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

freq code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

freq is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

freq releases are not available. You will need to build from source code and install.

freq has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

freq saves you 205 person hours of effort in developing the same functionality from scratch.

It has 504 lines of code, 24 functions and 3 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Handle GET request
Computes the probability of each pair in the given line
Computes the probability of two letters
Calculates the weight of a single string
Safe print function
Saves the frequency table to disk
Save frequency to file
Serialize to JSON
Load frequency from file
Initialize from JSON
Calculate the score of a line
Calculate the weight of a single line
Save the frequency to a file
Pretty print table

Get all kandi verified functions for this library.

freq Key Features

No Key Features are available at this moment for freq.

freq Examples and Code Snippets

No Code Snippets are available at this moment for freq.

Community Discussions

Trending Discussions on freq

Pandas: Subtract timestamps

How to read a TSV file into pandas dataframe with datetime as the rownames?

Is there a more pythonic way to implement a conditional count?

Split comma- and colon- separated string in R

Inno Setup Music Glitches when exiting

efficiently add rows if discontinuity : cannot reindex from a duplicate axis

group_by(across(all_of(vars, YEARS))) - grouping by variables with a fixed YEAR variable

How to asign Datetime values of a dataframe to the next 15min Timestep without using min/max/sum or mean?

TypeError: only integer scalar arrays can be converted to a scalar index, Could you please guys help me to know what is the problem?

Access general confidence boundaries of cronbach's alpha in R psych

QUESTION

Pandas: Subtract timestamps

Asked 2021-Jun-14 at 22:22

I grouped a dataframe test_df2 by frequency 'B' (by business day, so each name of the group is the date of that day at 00:00) and am now looping over the groups to calculate timestamp differences and save them in the dict grouped_bins. The data in the original dataframe and the groups looks like this:

timestamp status externalId 0 2020-05-11 13:06:05.922 1 1 7 2020-05-11 13:14:29.759 10 1 8 2020-05-11 13:16:09.147 1 2 16 2020-05-11 13:19:08.641 10 2

What I want is to calculate the difference between each row's timestamp, for example of rows 7 and 0, since they have the same externalId.

What I did for that purpose is the following.

...

ANSWER

Answered 2021-Jun-14 at 22:22

To convert your timestamp strings to a datetime object:

Source https://stackoverflow.com/questions/67977606

QUESTION

How to read a TSV file into pandas dataframe with datetime as the rownames?

Asked 2021-Jun-14 at 21:12

>>> data
                  Open
Date
2020-06-15  182.809924
2020-06-16  191.040258
2020-06-17  193.159706
2020-06-18  192.139603
2020-06-19  196.685578
...                ...         ...         ...         ...       ...        ...           ...
2021-06-08  255.160004
2021-06-09  253.809998
2021-06-10  254.289993
2021-06-11  257.989990
2021-06-14  257.899994

[252 rows x 1 columns]
>>> data['Open']
Date
2020-06-15    182.809924
2020-06-16    191.040258
2020-06-17    193.159706
2020-06-18    192.139603
2020-06-19    196.685578
                 ...
2021-06-08    255.160004
2021-06-09    253.809998
2021-06-10    254.289993
2021-06-11    257.989990
2021-06-14    257.899994
Name: Open, Length: 252, dtype: float64
>>> data.index
DatetimeIndex(['2020-06-15', '2020-06-16', '2020-06-17', '2020-06-18',
               '2020-06-19', '2020-06-22', '2020-06-23', '2020-06-24',
               '2020-06-25', '2020-06-26',
               ...
               '2021-06-01', '2021-06-02', '2021-06-03', '2021-06-04',
               '2021-06-07', '2021-06-08', '2021-06-09', '2021-06-10',
               '2021-06-11', '2021-06-14'],
              dtype='datetime64[ns]', name='Date', length=252, freq=None)
>>> type(data)

...

ANSWER

Answered 2021-Jun-14 at 21:12

You can use read_csv() with \t as the delimiter:

Source https://stackoverflow.com/questions/67977151

QUESTION

Is there a more pythonic way to implement a conditional count?

Asked 2021-Jun-14 at 20:50

Is there a more pythonic (i.e. no for loop) way to produce the count column in the below dataframe?

...

ANSWER

Answered 2021-Jun-14 at 20:07

One way:

Source https://stackoverflow.com/questions/67976543

QUESTION

Split comma- and colon- separated string in R

Asked 2021-Jun-14 at 17:40

Input$Freq                                                          
                                                                             Freq
                                        AFR:.,AMR:.,EAS:.,FIN:.,NFE:.,OTH:.,ASJ:.
     AFR:0.1546,AMR:0.2581,EAS:0.0825,FIN:0.2270,NFE:0.0822,OTH:0.1706,ASJ:0.0729
                                        AFR:.,AMR:.,EAS:.,FIN:.,NFE:.,OTH:.,ASJ:.
     AFR:0.1546,AMR:0.2581,EAS:0.0825,FIN:0.2270,NFE:0.0822,OTH:0.1706,ASJ:0.0729
                                        AFR:.,AMR:.,EAS:.,FIN:.,NFE:.,OTH:.,ASJ:.
                                        AFR:.,AMR:.,EAS:.,FIN:.,NFE:.,OTH:.,ASJ:.

...

ANSWER

Answered 2021-Jun-14 at 17:36

We could change the regex with str_extract and specify a regex lookaround to match the EAS substring ((?<=EAS:)) that precedes before any characters that are not a , ([^,]+)

Source https://stackoverflow.com/questions/67974649

QUESTION

Inno Setup Music Glitches when exiting

Asked 2021-Jun-14 at 07:52

I've used Martin Prikryl's code for my Inno Setup project. This is the link to his code:

How to make Stop and Pause/Resume/Play music buttons in Inno Setup

I used it with some tweaks on it but the problem is that the music glitches when I finish it.

For example, if the music is working while installing something and when I finally finish the setup, I still hear the glitched Audio for about 3 seconds! It's very annoying!

I think the problem is that we need to unload Music dll's before the installer finishes, as we do with the skin.

I hope you understood my situation and thanks in advance!

This is my Full code (it's not well-arranged sorry) :

...

ANSWER

Answered 2021-Jun-14 at 07:52

If you want to stop the music, when the installer is closing, just use the same code you already have in StopButtonClick from DeinitializeSetup:

Source https://stackoverflow.com/questions/67944508

QUESTION

efficiently add rows if discontinuity : cannot reindex from a duplicate axis

Asked 2021-Jun-14 at 06:38

I have this data. I need help here because If you see the timestamp there is discontinuity and I want to fill it with previous row.

The whole dataset is at 30 min interval, So If you look at the row 3 and 4 there is discontinuity, as you see there is an increase in one hour and then in next row 2 hours. So I want to fill here the missing rows with previous row values by just changing the current timestamp to timestamp+30.

Input Data:

Timestamp eqmt_id brand_brew_code level volume 28-03-2021 09:00 1 AB 12.99 1 28-03-2021 09:30 2 BB 123.43 2 28-03-2021 10:00 1 AB 13.34 3 28-03-2021 11:00 1 AB 213.34 1 28-03-2021 14:00 1 AB 12. 322 1

Expected Outcome:

Timestamp eqmt_id brand_brew_code level volume 28-03-2021 09:00 1 AB 12.99 1 28-03-2021 09:30 2 BB 123.43 2 28-03-2021 10:00 1 AB 13.34 3 28-03-2021 10:30 1 AB 13.34 3 28-03-2021 11:00 1 AB 213.34 1 28-03-2021 11:30 1 AB 213.34 1 28-03-2021 12:00 1 AB 213.34 1 28-03-2021 12:30 1 AB 213.34 1 28-03-2021 13:00 1 AB 213.34 1 28-03-2021 13:30 1 AB 213.34 1 28-03-2021 14:00 1 AB 12. 322 1

I have tried this code but outcome is also matching, but getting stopped in between. Don't know the issue.

...

ANSWER

Answered 2021-Jun-14 at 06:38

IIUC, you can try:

Convert Timestamp to datetime.
Set Timestamp as index.
Use asfreq('30T') to fill the missing time. ffill the missing value with downcast = 'infer' to retain the dtype.
Use reset_index() to get the same structure.

Source https://stackoverflow.com/questions/67965554

QUESTION

group_by(across(all_of(vars, YEARS))) - grouping by variables with a fixed YEAR variable

Asked 2021-Jun-13 at 19:18

I have some data that I would like to summarise. I would like to summarise across all of the columns, holding the YEAR column fixed. i.e. For one variable I can do:

...

ANSWER

Answered 2021-Jun-13 at 12:42

We can use across in group_by to include all of vars columns along with YEAR.

Source https://stackoverflow.com/questions/67958155

QUESTION

How to asign Datetime values of a dataframe to the next 15min Timestep without using min/max/sum or mean?

Asked 2021-Jun-13 at 14:55

I've got a dataframe with power profiles. The dataframe shows start and endtime and consumed power during a transaction. It looks something like this:

TransactionId StartTime EndTime Power xyza123 2018.01.01 07:07:34 2018.01.01 07:34:08 70 hjker383 2018.01.01 10:21:00 2018.01.01 11:40:08 23

My Goal is to assign a new Start- and EndTime which are set at 15 min values. Like so:

TransactionId StartTime New Starttime EndTime New EndTime Power xyza123 2018.01.01 07:07:34 2018.01.01 07:00:00 2018.01.01 07:34:08 2018.01.01 07:30:00 70 hjker383 2018.01.01 10:21:00 2018.01.01 10:30:00 2018.01.01 11:40:08 2018.01.01 11:45:00 23

The old Timestamps can be deleted afterwards. However I don't want to aggregate them. So I guess

df.groupby(pd.Grouper(key="StartTime", freq="15min")).sum()

df.groupby(pd.Grouper(key="StartEndtime", freq="15min")).mean()

etc. is not an option. Another idea I had was creating a dataframe with values between 2018.01.01 00:00:00 and 2018.01.01 23:45:00. However I am not sure how to iterate true the two dataframes, to achieve my goal and if iteration true dataframes is a good idea in the first place.

...

ANSWER

Answered 2021-Apr-28 at 08:27

You can use a function to convert a datetime to nearest 15 minute and then apply it to the column This function was inspired from this link:

Source https://stackoverflow.com/questions/67296055

QUESTION

TypeError: only integer scalar arrays can be converted to a scalar index, Could you please guys help me to know what is the problem?

Asked 2021-Jun-13 at 14:17

I have done this code for model updating, something that's related to civil engineering. In the very last line of the code provided I am getting this error (TyperError: only integer scalar .....), could you please tell me what is the problem? I've tried a lot, but not working. I've tried to convert it to an array with integer, float, and also convert it to list, but nothing is wokring Thank you in advance

...

ANSWER

Answered 2021-Jun-13 at 14:17

you start your loop by defining a running variable 'i'. But all over the loop, you redefine it to be other integers and unrelated objects. Such as in line 83, line 155, and others. It's difficult to understand your intentions from the question. but if I understand correctly, the problem can be solved by changing every 'i' in the loop to a differently named temporary variable. A simpler solution would be to change the 'i' variable at the beginning of the for loop to smth else. I suggest you adopt a habit of using variable names that have meaning and not just single or double letters.

Source https://stackoverflow.com/questions/67958790

QUESTION

Access general confidence boundaries of cronbach's alpha in R psych

Asked 2021-Jun-13 at 13:26

I have a dataframe on which I use psych::alpha. In the output there are general confidence boundaries around a general cronbach's alpha value. I want to access those but they don't appear in the results when I save the output as a variable. In the documentation they're called itemboot.ci but that doesn't exist in the alpha object.enter code here

...

ANSWER

Answered 2021-Jun-13 at 13:26

When you print an object, either by using print or by sending it to the R console, some extra processing may happen. Every object (almost always) has its own print and in this case you can see that the print.psych method (called behind the scenes instead of print on any psych package object) is doing the following with your object of (sub)class alpha:

Source https://stackoverflow.com/questions/67958269

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

Vulnerabilities

No vulnerabilities reported

Install freq

You can download it from GitHub.
You can use freq 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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