OIL | Overly Introspective Language

by L3viathan Python Version: v2.3 License: MIT

X-Ray Key Features Code Snippets(1)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | OIL Summary

OIL is a Python library. OIL has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However OIL build file is not available. You can download it from GitHub.

Overly Introspective Language

Support

Quality

Security

License

Reuse

Support

OIL has a low active ecosystem.

It has 9 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 8 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of OIL is v2.3

Quality

OIL has no bugs reported.

Security

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

License

OIL 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

OIL releases are available to install and integrate.

OIL 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.

Top functions reviewed by kandi - BETA

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

Call the remote
Read source code from file
Run the wizard
Run the next action
Implicit encoding
Convert value to int
Read user input
Read from the remote
Jump to the right
Jump to the head
Move from source to target
Explodes the source
Implicitly decode a string
Print the current cell
Copies the current value to the target
Make a random value
Decrement the cell
Increments the counter
Move the cursor forward
Reverse the tail
Print a newline
Remove the head

Get all kandi verified functions for this library.

OIL Key Features

No Key Features are available at this moment for OIL.

OIL Examples and Code Snippets

OIL,Usage

Python

Lines of Code : 1

License : Permissive (MIT)

Copy

oil.py hello_world.oil

Community Discussions

Trending Discussions on OIL

Can't collect price from a webpage using vba/selenium in headless mode

How to relabel a category based on value_counts and then plot the data

where I'm doing wrong, can anyone check I'm getting keyerror : 1

Aligning text next to an image within a container

Mongoose Aggregation of a field that optionally exists in mongoose - rating calculation

Nested Array Filter/Mapping

Credit Card Transaction Classification in Python

Extract Uppercase Words on Excel Function

How can I add a count property to objects with similar id in array

Issue in renaming the multiple aggregation outcome columns in pandas python

QUESTION

Can't collect price from a webpage using vba/selenium in headless mode

Asked 2021-Jun-14 at 22:25

I've created a vba script in combination with selenium to scrape price $8.97 from this webpage. The script does fetch the content if I run it in non-headless mode. However, my intention is to grab the content in headless mode. I know I can use their api to fetch the price but the very api gets blocked after 4/5 requests, so I intentionally chose this route.

I've tried with (works in non-headless mode):

...

ANSWER

Answered 2021-Jun-01 at 17:54

You need to wait also properly to get the text, even though your css looks good.

Or you could set a timeout on the page loading :

Source https://stackoverflow.com/questions/67793688

QUESTION

How to relabel a category based on value_counts and then plot the data

Asked 2021-Jun-13 at 23:42

I've got a Dataframe with around 16000 entries and 12 columns. I've (hopefully) already removed duplicates and Nan values. I want to visualise the number of occurrences in the column 'brand' in a Pie chart with Pandas. But every Brand which occurs less than 20 times should be grouped together and be named 'Freie Tankstellen'.

I've gotten to: df_stations['brand'].value_counts().to_frame()< 20

But i don't know how to proceed, thank you in advance!

My Dataframe

elias_lay_u_schisslbauer_simon2021-06-12_11-57 - Jupyter Notebook

...

ANSWER

Answered 2021-Jun-13 at 22:50

Use df.brand.value_counts() to add a 'total_count' column to the df using .merge.
Use Boolean indexing to rename any 'brand' with a 'total_count' less than, .lt, 20.
Get the new .value_counts for 'brand', and plot a horizontal bar using pandas.DataFrame.plot with kind='barh'. If there aren't many brands, use kind='bar' and change figsize. kind='pie' can be used, but, while I like pi, and pieces of pie, I do not like, or recommend pie charts.
- ^{The main purpose of using a pie chart, rather than a bar graph, is to visually indicate that a set of values are fractions or percentages that add up to a whole. This message comes at a considerable cost: Comparing values is more difficult with a pie chart than with a bar chart because is harder for the viewer to compare the angles subtended by two arcs than to compare the height for two bars. - Bergstrom, Carl T.; West, Jevin D.. Calling Bullshit (p. 179). Random House Publishing Group. Kindle Edition.}

Using pandas v1.2.4 and matplotlib v3.4.2

Source https://stackoverflow.com/questions/67962118

QUESTION

where I'm doing wrong, can anyone check I'm getting keyerror : 1

Asked 2021-Jun-12 at 08:52

import csv
year = []
col1 = []
col2 = []
col3 = []
col4 = []
filename = open('data.csv', 'r')
file = csv.DictReader(filename)
for col in file:
    year.append(col['Year (Upto 31st March) (Col.1)'])
    col1.append(col['Central - Motor Vehicle & Accessories - Import Duty (Col.2)'])
    col2.append(col['Central - Tyres and Tubes - Import Duty (Col.4)'])
    col3.append(col['Central - High Speed Diesel Oil - Import Duty (Col.6)'])
    col4.append(col['Central - Motor Spirit - Import Duty (Col.8)'])
    
def column_selection():
    for i in range(1, 5):
        col[i] = [float(j) for j in col[i]]
        for k in range(1, 5):
            a[k] = max(col[i])
def index_printing():
    for i in range(1,5):
        a[i] = col[i].index(a[k])    
        print(year[a[i]])

column_selection()
index_printing()

...

ANSWER

Answered 2021-Jun-10 at 03:17

Try this. Your code was confusing in how it used the array a, but I think this is the gist. Really, you should have told us what you were trying to do here.

Source https://stackoverflow.com/questions/67914074

QUESTION

Aligning text next to an image within a container

Asked 2021-Jun-12 at 02:43

What I'm trying to recreate

New to CSS+HTML and trying to practice my 'skills' which I have developed so far.

I've spent so many hours trying to get the text to align but it just will not.

Here's what i've had achieved so far

That in itself took ages just to figure out how to align the four cards like that. I still cannot figure out how to align this text though.

Here is my HTML:

...

ANSWER

Answered 2021-Jun-12 at 01:56

You need to wrap all your content except img in separate div and you need to add flex to your ".burger-item " , and you need to change some styles for your ".burgerimg "

But i suggest you change something , and experiment on your own

Working code :

Source https://stackoverflow.com/questions/67944876

QUESTION

Mongoose Aggregation of a field that optionally exists in mongoose - rating calculation

Asked 2021-Jun-10 at 21:04

My product document looks thus:

...

ANSWER

Answered 2021-Jun-10 at 21:04

Based on @turivishal's comment. The query below solved the problem.

Source https://stackoverflow.com/questions/67925583

QUESTION

Nested Array Filter/Mapping

Asked 2021-Jun-09 at 22:32

Probably a basic question, but I've been blocked for a day now on this. I am trying to get the correct map/filter from the following array:

...

ANSWER

Answered 2021-Jun-09 at 22:13

Map only arr1 by returning only subUtilityTypes and then map it to get the desired result :

Source https://stackoverflow.com/questions/67912274

QUESTION

Credit Card Transaction Classification in Python

Asked 2021-Jun-09 at 19:42

I'm curious to see if anyone has any thoughts on how to accomplish this in Python with Pandas.

I have a dataframe (df1) with the credit card transaction details that contains the Point of Sale description (df1['Description']) and amount (df1['amount']). The POS description is unique to each location so you end up with several descriptions for Amazon, Shell Oil, etc.

I have another dataframe (df_lookup) that will serve as a lookup table to classify the transactions. This dataframe will include the name (df_lookup['Name']) and the category to classify each transaction df_lookup['Category']).

This is what I would like to accomplish: Compare the df1['Description'] to df_lookup['Name']. If the df1['Description'] contains the df_lookup['Name'], the corresponding df_lookup['Category'] will be added to df1 as a new column df1['Category']. Please see the examples of each dataframe and the desired outcome below.

Example of df1:

Description Amount AMAZON.COM*ajlja09ja AMZN.COM 10 AMZN Mktp US *ajlkadf 15 AMZN Prime *an9adjah 20 Shell Oil 4106541031 20 Shell Oil 4163046510 25

Example of df_lookup:

Name Category AMAZON Amazon AMZN Amazon Shell Oil Gas

Desired Output to df1:

Description Amount Category AMAZON.COM*ajlja09ja AMZN.COM 10 Amazon AMZN Mktp US *ajlkadf 15 Amazon AMZN Prime *an9adjah 20 Amazon Shell Oil 4106541031 20 Gas Shell Oil 4163046510 25 Gas ...

ANSWER

Answered 2021-Jun-09 at 18:01

I came up with a solution but it could probably take long time for large DataFrames:

Source https://stackoverflow.com/questions/67907426

QUESTION

Extract Uppercase Words on Excel Function

Asked 2021-Jun-08 at 16:05

I have supplier name together with product name in one cell as a string.
Each cell has a word that's all uppercase (sometimes with a digit or a number).

Data I need to extract 3LAB Anti - Aging Oil 30ml 3LAB 3LAB Aqua BB SPF40 #1 14g 3LAB 3LAB SAMPLE Perfect Neck Cream 6ml 3LAB 3LAB SAMPLE Super h" Serum Super Age-Defying Serum 3ml" 3LAB 3LAB TTTTT Perfect Mask Lifting Firming Brightening 28ml 3LAB 3LAB The Cream 50ml 3LAB 3LAB The Serum 40ml 3LAB 4711 Acqua Colonia Intense Floral Fields Of Ireland EDC spray 170ml EDC 4711 Acqua Colonia Intense Pure Brezze Of Himalaya EDC spray 50m" EDC

I need to extract only that UPPERCASE supplier name to a new cell.
I've tried to create User Defined Function like this one, but it's not working.
It's returning #NAME? error.

...

ANSWER

Answered 2021-Jun-08 at 16:05

Instead of a custom made UDF, try to utilize what Excel does offer through build-in functionality, for examle FILTERXML():

Formula used in B1:

Source https://stackoverflow.com/questions/67885392

QUESTION

How can I add a count property to objects with similar id in array

Asked 2021-Jun-08 at 16:05

I have this array of multiple objects, and based on the quantity, I managed to multiply the objects with similar id based on the quantity to make a carousel of products for a picking app:

I can´t figure out how to do it, maybe run a for loop. I'm using reduce to flatten the array.

...

ANSWER

Answered 2021-Jun-08 at 16:05

As @Heretic Monkey suggested you can indeed use the second argument in the array.from method. As such with very minimal adjustment to your example you get the following code, what (I believe) does exactly what you want.

Source https://stackoverflow.com/questions/67890275

QUESTION

Issue in renaming the multiple aggregation outcome columns in pandas python

Asked 2021-Jun-03 at 08:02

I got a question regarding the multiple aggregation in pandas.

Originally I have a dataset which shows the oil price, and the detail is as follows:

And the head of the dataset is as follows:

What I want to do here is to get the mean and standard deviation for each quarter of the year 2014. And the ideal output is as follows:

In my script, I have already created the quarter info by doing so .

However, one thing that I do not understand here:

If I tried to use this command to do so

...

ANSWER

Answered 2021-Jun-03 at 08:02

What's wrong with the first approach here?

There is passed dict, so pandas looking for columns from keys average_price, std_price and because not exist in DataFrame if return error.

Possible solution is specified column after groupby and pass list of tuples for specified new columns names with aggregate functions:

Source https://stackoverflow.com/questions/67817478

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

Vulnerabilities

No vulnerabilities reported

Install OIL

You can download it from GitHub.
You can use OIL 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: