Fast-F1 | python package for accessing and analyzing Formula 1 results | Data Manipulation library

by theOehrly Python Version: v3.0.4 License: MIT

X-Ray Key Features Code Snippets(8)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | Fast-F1 Summary

Fast-F1 is a Python library typically used in Utilities, Data Manipulation, Pandas applications. Fast-F1 has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can install using 'pip install Fast-F1' or download it from GitHub, PyPI.

FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry

Support

Quality

Security

License

Reuse

Support

Fast-F1 has a medium active ecosystem.

It has 1674 star(s) with 167 fork(s). There are 29 watchers for this library.

It had no major release in the last 12 months.

There are 17 open issues and 156 have been closed. On average issues are closed in 111 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Fast-F1 is v3.0.4

Quality

Fast-F1 has 0 bugs and 0 code smells.

Security

Fast-F1 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Fast-F1 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Fast-F1 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

Fast-F1 releases are available to install and integrate.

Deployable package is available in PyPI.

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

It has 3573 lines of code, 222 functions and 34 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed Fast-F1 and discovered the below as its top functions. This is intended to give you an instant insight into Fast-F1 implemented functionality, and help decide if they suit your requirements.

Calculate the DRV data from the driver .
Extract the data from the API .
Create a trajectory from the given reference location .
Merge two channels .
Fetch position data from a given path .
Fetch timing data from a given path .
Get a single session .
Fetch timing app data .
Returns the weather data .
Compute the delta time between two samples .

Get all kandi verified functions for this library.

Fast-F1 Key Features

No Key Features are available at this moment for Fast-F1.

Fast-F1 Examples and Code Snippets

f1,Usage,Writing load tests

Lines of Code : 42

License : Permissive (Apache-2.0)

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// ScenarioFn initialises a scenario and returns the iteration function (RunFn) to be invoked for every iteration
// of the tests.
type ScenarioFn func(t *T) RunFn

// RunFn performs a single iteration of the scenario. 't' may be used for asserting
/

Precision / Recall / F1,TREC

Jupyter Notebook

Lines of Code : 32

License : Strong Copyleft (GPL-3.0)

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         precision    recall  f1-score   support

    ABBR       1.00      0.22      0.36         9
    DESC       0.74      0.22      0.34       138
    ENTY       0.55      0.88      0.68        94
     HUM       0.84      0.86      0.85        65

albert_question_match,Performance,Best F1 of ALBERT-QM

Python

Lines of Code : 8

License : Permissive (Apache-2.0)

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                precision    recall  f1-score   support

           0     0.8705    0.8688    0.8696      1021
           1     0.8634    0.8652    0.8643       979

    accuracy                         0.8670      2000
   macro avg     0.8669    0.8

F1 - FFT transform .

java

Lines of Code : 26

License : Permissive (MIT License)

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public static ArrayList fft(ArrayList x, boolean inverse) {
        /* Pad the signal with zeros if necessary */
        paddingPowerOfTwo(x);
        int N = x.size();
        int log2N = findLog2(N);
        x = fftBitReversal(N,log2N,x);
        i

function f1 - f

java

Lines of Code : 11

License : No License

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static long fib(int idx) {
        long f0 = 0;
        long f1 = 1;
        long result = 0;
        for (int i = 1; i < idx; i++) {
            result = f0 + f1;
            f0 = f1;
            f1 = result;
        }
        return result;

Compute the F1 hash .

javascript

Lines of Code : 11

License : Permissive (MIT License)

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function hashFNV1a(key) {
  const str = key.toString();
  var hash = 0;
  if (str.length == 0) return hash;
  for (i = 0; i < str.length; i++) {
    hash = hash ^ str.codePointAt(i); // XOR
    // issue with overflow 50855934 << 19 = -104857

Matplotlib plotting custom colormap with the plot

Python

Lines of Code : 20

License : Strong Copyleft (CC BY-SA 4.0)

Copy

# Create custom colormap
teamcolor1 = to_rgb('{}'.format(team1_color))
teamcolor2 = to_rgb('{}'.format(team2_color))
colors = [teamcolor1, teamcolor2]
n_bins = [3, 6, 10, 100]
cmap_name = 'colors'
fig, axs = plt.subplots(2, 2, figsize=(6,

Is there a way to change which pip to use at this project?

Python

Lines of Code : 8

License : Strong Copyleft (CC BY-SA 4.0)

Copy

pip install packagename

python -mpip install packagename

py -3 -mpip install packagename

py -3.10 -mpip install packagename

Community Discussions

Trending Discussions on Data Manipulation

R: Is there a "Un-Character" Command in R?

Creating new columns based on data in row separated by specific character in R

Multiplying and Adding Values across Rows

How to make a rank column in R

How to return the column title wherein the row contains the greatest value in Pandas Dataframe

Split large csv file into multiple files based on column(s)

Get the first non-null value from selected cells in a row

pivot_longer with column pairs

Simulating Random Draws From a "Hat"

Break Apart a String into Separate Columns R

QUESTION

R: Is there a "Un-Character" Command in R?

Asked 2022-Apr-10 at 17:37

I am working with the R programming language.

I have the following dataset:

...

ANSWER

Answered 2022-Apr-10 at 05:36

Up front, "1,3,4" != 1. It seems you should look to split the strings using strsplit(., ",").

Source https://stackoverflow.com/questions/71813866

QUESTION

Creating new columns based on data in row separated by specific character in R

Asked 2022-Mar-15 at 08:48

I've the following table

Owner Pet Housing_Type A Cats;Dog;Rabbit 3 B Dog;Rabbit 2 C Cats 2 D Cats;Rabbit 3 E Cats;Fish 1

The code is as follows:

...

ANSWER

Answered 2022-Mar-15 at 08:48

One approach is to define a helper function that matches for a specific animal, then bind the columns to the original frame.

Note that some wrangling is done to get rid of whitespace to identify the unique animals to query.

Source https://stackoverflow.com/questions/71478316

QUESTION

Multiplying and Adding Values across Rows

Asked 2022-Mar-10 at 08:24

I have this data frame:

...

ANSWER

Answered 2022-Mar-10 at 04:12

We can use stri_replace_all_regex to replace your color_1 into integers together with the arithmetic operator.

Here I've stored your values into a vector color_1_convert. We can use this as the input in stri_replace_all_regex for better management of the values.

Source https://stackoverflow.com/questions/71418533

QUESTION

How to make a rank column in R

Asked 2022-Mar-07 at 16:19

I have a database with columns M1, M2 and M3. These M values correspond to the values obtained by each method. My idea is now to make a rank column for each of them. For M1 and M2, the rank will be from the highest value to the lowest value and M3 in reverse. I made the output table for you to see.

...

ANSWER

Answered 2022-Mar-07 at 14:15

Using rank and relocate:

Source https://stackoverflow.com/questions/71381995

QUESTION

How to return the column title wherein the row contains the greatest value in Pandas Dataframe

Asked 2022-Feb-24 at 20:56

I working on a Python project that has a DataFrame like this:

...

ANSWER

Answered 2022-Feb-24 at 20:48

You could use the idxmax method on axis:

Source https://stackoverflow.com/questions/71258033

QUESTION

Split large csv file into multiple files based on column(s)

Asked 2022-Feb-07 at 12:49

I would like to know of a fast/efficient way in any program (awk/perl/python) to split a csv file (say 10k columns) into multiple small files each containing 2 columns. I would be doing this on a unix machine.

...

ANSWER

Answered 2021-Dec-12 at 05:22

With your show samples, attempts; please try following awk code. Since you are opening files all together it may fail with infamous "too many files opened error" So to avoid that have all values into an array and in END block of this awk code print them one by one and I am closing them ASAP all contents are getting printed to output file.

Source https://stackoverflow.com/questions/70320648

QUESTION

Get the first non-null value from selected cells in a row

Asked 2022-Feb-04 at 09:55

Good afternoon, friends!

I'm currently performing some calculations in R (df is displayed below). My goal is to display in a new column the first non-null value from selected cells for each row.

My df is:

...

ANSWER

Answered 2022-Feb-03 at 11:16

One option with dplyr could be:

Source https://stackoverflow.com/questions/70970158

QUESTION

pivot_longer with column pairs

Asked 2022-Feb-03 at 14:02

I am again struggling with transforming a wide df into a long one using pivot_longer The data frame is a result of power analysis for different effect sizes and sample sizes, this is how the original df looks like:

...

ANSWER

Answered 2022-Feb-03 at 10:59

library(tidyverse)

example %>% 
  pivot_longer(cols = starts_with("es"), names_to = "type", names_prefix = "es_", values_to = "es") %>%
  pivot_longer(cols = starts_with("pwr"), names_to = "pwr", names_prefix = "pwr_") %>% 
  filter(substr(type, 1, 3) == substr(pwr, 1, 3)) %>% 
  mutate(pwr = parse_number(pwr)) %>% 
  arrange(pwr, es, type)

Source https://stackoverflow.com/questions/70969176

QUESTION

Simulating Random Draws From a "Hat"

Asked 2021-Dec-28 at 21:50

Suppose I have the following 10 variables (num_var_1, num_var_2, num_var_3, num_var_4, num_var_5, factor_var_1, factor_var_2, factor_var_3, factor_var_4, factor_var_5):

...

ANSWER

Answered 2021-Dec-26 at 10:11

You may define a function FUN(n) that creates a data set as shown in OP.

Source https://stackoverflow.com/questions/70483731

QUESTION

Break Apart a String into Separate Columns R

Asked 2021-Dec-17 at 20:39

I am trying to tidy up some data that is all contained in 1 column called "game_info" as a string. This data contains college basketball upcoming game data, with the Date, Time, Team IDs, Team Names, etc. Ideally each one of those would be their own column. I have tried separating with a space delimiter, but that has not worked well since there are teams such as "Duke" with 1 part to their name, and teams with 2 to 3 parts to their name (Michigan State, South Dakota State, etc). There also teams with "-" dashes in their name.

Here is my data:

...

ANSWER

Answered 2021-Dec-16 at 15:25

Here's one with regex. See regex101 link for the regex explanations

Source https://stackoverflow.com/questions/70381064

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

Vulnerabilities

No vulnerabilities reported

Install Fast-F1

You can install using 'pip install Fast-F1' or download it from GitHub, PyPI.
You can use Fast-F1 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 .

Find more information at: