abbott | My attempt at a Python IRC bot framework using Twisted | Bot library
kandi X-RAY | abbott Summary
kandi X-RAY | abbott Summary
My attempt at a Python IRC bot framework using Twisted
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Top functions reviewed by kandi - BETA
- Process incoming buffer .
- Do the Voice of a channel .
- Install a command .
- Convert a nick to a hostmask .
- Decorator to track keys that do not have a non - requester entry .
- Sets up the config file
- Run a python command
- Handle a command .
- Display all available commands to the user .
- Return information about a character .
abbott Key Features
abbott Examples and Code Snippets
Community Discussions
Trending Discussions on abbott
QUESTION
Am building a movies App where i have list of posters loaded using TMDB using infinite_scroll_pagination 3.0.1+1 library. First set of data loads good but after scrolling and before loading second set of data i get the following Exception.
...ANSWER
Answered 2021-May-30 at 10:18In Result object with ID 385687 you have a property backdrop_path being null. Adjust your Result object and make the property nullable:
String? backdropPath;
QUESTION
I have a Python pandas dataframe that looks like this:
...ANSWER
Answered 2021-May-28 at 13:45You can try:
QUESTION
Goal: To change a column of NAs in one dataframe based on a "key" in another dataframe (something like a VLookUp, except only in R)
Given df1 here (For Simplicity's sake, I just have 6 rows. The key I have is 50 rows for 50 states):
Index State_Name Abbreviation 1 California CA 2 Maryland MD 3 New York NY 4 Texas TX 5 Virginia VA 6 Washington WAAnd given df2 here (This is just an example. The real dataframe I'm working with has a lot more rows) :
Index State Article 1 NA Texas governor, Abbott, signs new abortion bill 2 NA Effort to recall California governor Newsome loses steam 3 NA New York governor, Cuomo, accused of manipulating Covid-19 nursing home data 4 NA Hogan (Maryland, R) announces plans to lift statewide Covid restrictions 5 NA DC statehood unlikely as Manchin opposes 6 NA Amazon HQ2 causing housing prices to soar in northern VirginiaTask: To create an R function that loops and reads the state in each df2$Article row; then cross-reference it with df1$State_Name to replace the NAs in df2$State with the respective df1$Abbreviation key based on the state in df2$Article. I know it's quite a mouthful. I'm stuck with how to start, and finish this puzzle. Hard-coding is not an option as the real datasheet I have have thousands of rows like this, and will update as we add more articles to text-scrape.
The output should look like:
Index State Article 1 TX Texas governor, Abbott, signs new abortion bill 2 CA Effort to recall California governor Newsome loses steam 3 NY New York governor, Cuomo, accused of manipulating Covid-19 nursing home data 4 MD Hogan (Maryland, R) announces plans to lift statewide Covid restrictions 5 NA DC statehood unlikely as Manchin opposes 6 VA Amazon HQ2 causing housing prices to soar in northern VirginiaNote: The fifth entry with DC is intended to be NA.
Any links to guides, and/or any advice on how to code this is most appreciated. Thank you!
...ANSWER
Answered 2021-May-25 at 13:50You can create create a regex pattern from the State_Name and use str_extract to extract it from Article. Use match to get the corresponding Abbreviation name from df1.
QUESTION
I have a list of >1.000 companies which I could use to invest in. I need the ticker symbol id's from all these companies. I find difficulties when I am trying to strip the output of the soup, and when I am trying to loop through all the company names.
Please see an example of the site: https://finance.yahoo.com/lookup?s=asml. The idea is to replace asml and put 'https://finance.yahoo.com/lookup?s='+ Companies., so I can loop through all the companies.
ANSWER
Answered 2021-May-01 at 21:20Here's a solution that doesn't require any scraping. It uses a package called yahooquery (disclaimer: I'm the author), which utilizes an API endpoint that returns symbols for a user's query. You can do something like this:
QUESTION
I have a very large excel file of 1000+ street intersections that I need to find the Longitude and latitudes for and then write that info to file/list for a different program to consume.
What I'm stuck on is on how to build a more efficient script using multithreading/multiprocessing, I have looked through other questions/post but I'm i find it all a bit confusing. The code below takes roughly ~ 10+ mins. Any help would be great.
...ANSWER
Answered 2021-Apr-09 at 21:57The problem does not comes from Pandas but ArcGIS().geocode(address) which is insanely slow. Indeed, on my machine, this line takes 400 ms/request. Each request send a slow network query to the online ArcGIS API. Using multiprocessing will not help much as you will quickly reach additional limitations (limited rate of API request, saturation of the website). You need to send batch requests. Unfortunately this does not seems supported by the geopy package. If you are tied to ArcGIS, you need to use their own API. You can find more information about how to do that on the ArcGIS documentation.
QUESTION
I am trying to compare two dataframes and print the difference. When I try to compare I get a "ValueError: Can only compare identically-labeled Series objects"
Here are samples of the dataframes I am comparing.
...ANSWER
Answered 2021-Mar-31 at 20:03To be generic that the 2 dataframes can be of different sizes, you can compare values in dataframe a column Name with the list of all Name fields in dataframe b. Repeat for the other side.
Build mask of a.Name not in b.Name.to_list() then use .loc[] to select. Similarly for the other way round:
QUESTION
I'm calling an online API and i stored API response in mysql db. API response:
...ANSWER
Answered 2021-Mar-19 at 06:29That would be a datetime(3) type, except that that won't store the offset.
If the offset is ever non-0, I would store the time in utc and the offset in a separate column, e.g original_offset.
QUESTION
I have a program that works perfectly except when reading in the SEQ file it is suppose to skip/bypass the record entirely then move on to the next one in the file. It is suppose to bypass the input file if the student has graduated (skip Graduation Status if equal to 'Y'). Bypass if Class Standing is anything other than '1' or '2'. Lastly, bypass if Major is not 'DIG', 'NES', or 'PGM'.
seq file:
...ANSWER
Answered 2021-Mar-05 at 10:26As the check is fairly complex I would recommend braking it out into a separate paragraph coded somethin like:
QUESTION
This program have an SEQ file that it reads and is suppose to bypass all students that are graduated (Y), if Class Standing is other than first-year or second-year (1 or 2), and if their major is not programming (PGM), digital media (DIG) or Network Security (NES). My program is suppose to also do calculates, but currently I m just trying to get the data to print out in an RPT file. It is also suppose to format the Social Security Numbers (like XXX-XX-XXXX). Format Student Name: First Initial Middle Initial Last Name (like A B Brown) Then print First Yr or Second Yr. Next, what there major is. Then how many hours, points, and calculate and display their GPA.
...ANSWER
Answered 2021-Mar-04 at 06:50In Cobol if statements must be explicitly ended by either a end-if or .
So
QUESTION
The code mentioned below returns the expected output.
...[('the', 23135851162), ('of', 13151942776), ('and', 12997637966), ('to', 12136980858), ('a', 9081174698)]
ANSWER
Answered 2021-Jan-17 at 04:34The second example given on the linked page and also in your question references the wrong data file. You have to refer the included bigram data file.
The doc explaining the examples shows the expected data formats for each example, and the formats are different. And yet, the two examples refer to the same datafile. This has to be wrong in one place or the other, and it is wrong in that the second example should refer to the bigram data file.
Here's the complete code that works correctly:
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