soccer-stats | Soccer Stats is an example application | Continuous Deployment library

by ricardozanini Java Version: v0.0.1 License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | soccer-stats Summary

soccer-stats is a Java library typically used in Devops, Continuous Deployment, Ansible, Jenkin, Docker applications. soccer-stats has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

Soccer Stats is an example application to be used as a proof of concept for a presentation at Ansible Meetup in São Paulo.

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Quality

Security

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Support

soccer-stats has a low active ecosystem.

It has 75 star(s) with 145 fork(s). There are 9 watchers for this library.

It had no major release in the last 12 months.

soccer-stats has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of soccer-stats is v0.0.1

Quality

soccer-stats has 0 bugs and 0 code smells.

Security

soccer-stats has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

soccer-stats code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

soccer-stats does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

soccer-stats releases are available to install and integrate.

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

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

Top functions reviewed by kandi - BETA

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

Compares this object to another
Getter for away away team
Gets the date
Get the home team currently selected
Lists all matches for a team
Lists all matches for a single team
Get the index
Connect to H2 server
The main application
Returns a hash code for this region
Returns a list of match matches for the given home team
Lists all matches from home team

Get all kandi verified functions for this library.

soccer-stats Key Features

No Key Features are available at this moment for soccer-stats.

soccer-stats Examples and Code Snippets

No Code Snippets are available at this moment for soccer-stats.

Community Discussions

Trending Discussions on soccer-stats

TypeError: '<' not supported between instances of 'str' and 'int' after converting string to float

QUESTION

TypeError: '<' not supported between instances of 'str' and 'int' after converting string to float

Asked 2022-Jan-19 at 18:12

Using: Python in Google Collab Thanks in Advance: I have run this code on other data I have scraped FBREF, so I am unsure why it's happening now. The only difference is the way I scraped it. The first time I scraped it: url_link = 'https://fbref.com/en/comps/Big5/gca/players/Big-5-European-Leagues-Stats'

The second time I scraped it:

url = 'https://fbref.com/en/comps/22/stats/Major-League-Soccer-Stats'

html_content = requests.get(url).text.replace('', '')

df = pd.read_html(html_content)

I then convert the data from object to float so I can do a calculation, after I have pulled it into my dataframe:

dfstandard['90s'] = dfstandard['90s'].astype(float) dfstandard['Gls'] = dfstandard['Gls'].astype(float)

I look and it shows they are both floats:

10 90s 743 non-null float64

11 Gls 743 non-null float64

But when I run the code that as worked previously:

dfstandard['Gls'] = dfstandard['Gls'] / dfstandard['90s']

I get the error message "TypeError: '<' not supported between instances of 'str' and 'int'"

I am fairly new to scraping, I'm stuck and don't know what to do next.

The full error message is below:

...

ANSWER

Answered 2022-Jan-19 at 18:12

There are two Gls columns in your dataframe. I think you converted only one "Gls" column to float, and when you do dfstandard['Gls'] = dfstandard['Gls'] / dfstandard['90s'], the other "Gls" column is getting considered?...

Try stripping whitespace from the column names too

Source https://stackoverflow.com/questions/70773500

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

Vulnerabilities

No vulnerabilities reported

Install soccer-stats

Just run mvn clean package on the project directory and your ready to go.

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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