house_price | National housing price data crawling + analysis

by HeLiangHIT HTML Version: Current License: MIT

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

kandi X-RAY | house_price Summary

house_price is a HTML library. house_price has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

National housing price data crawling + analysis

Support

Quality

Security

License

Reuse

Support

house_price has a low active ecosystem.

It has 65 star(s) with 29 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of house_price is current.

Quality

house_price has no bugs reported.

Security

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

License

house_price 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

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

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

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of house_price

Get all kandi verified functions for this library.

house_price Key Features

No Key Features are available at this moment for house_price.

house_price Examples and Code Snippets

No Code Snippets are available at this moment for house_price.

Community Discussions

Trending Discussions on house_price

How to convert txt to dictionary in python

xlearn predictions error give a different mse than output by the function

Is there an R function that let's you select two specific cities from a column of more than 10 cities?

Return multiple statements in Python Flask in the same route

Extract the numbers in a string from a column in pandas dataframe

How to turn a list into a nested dictionary?

pandas objects created by bs4 & regex elements are being printed as python lists

Pandas only printing last bs4 element to csv file

Plotting a scatter plot from a list

plotting a scatter plot

QUESTION

How to convert txt to dictionary in python

Asked 2021-May-21 at 08:40

Can someone please explain me why the code to transfer this txt.file to dictionary is the answer that I written below, because I don't understand the flow.

task : convert this txt file to dictionary

house_price.txt=

...

ANSWER

Answered 2021-May-21 at 08:40

I've added comments to the answer to explain the flow, please add more details in your question if this is not clear enough :)

Source https://stackoverflow.com/questions/67633241

QUESTION

xlearn predictions error give a different mse than output by the function

Asked 2021-Feb-10 at 18:00

the xlearn predict function gives a different mse than what you get by looking at the predictions and calculating it yourself. Here is code to do this; you can run it by cloning the xlearn repository and copying the below code in demo/regression/house_price in the repository

...

ANSWER

Answered 2021-Feb-09 at 23:58

A lot of people use 1/2 MSE for the loss because it makes the derivative "easier". Given that they use the word "loss" rather than "MSE" or something like that, I'd bet this is what's going on.

For clarity, if your loss is

1/2n * [(y_1 - p_1)^2 + ... + (y_n - p_n)^2]

then the derivative (wrt p) would be

-1/n * [(y_1 - p_1) + ... + (y_n - p_n)]

The 2 goes away because you end up multiplying by 2 for the power rule.

pardon the formatting... I don't know how to do math stuff here.

Source https://stackoverflow.com/questions/66026339

QUESTION

Is there an R function that let's you select two specific cities from a column of more than 10 cities?

Asked 2021-Jan-11 at 16:18

I need to show the distribution of two columns which are house_price and city however, i must only select "Amsterdam" and "Rotterdam" from the city column. Is there any way I can do this please? Also, the data is imported to R as a dataset called rental from a csv file.

Thanks in advance!

...

ANSWER

Answered 2021-Jan-11 at 16:18

The code would be:

Source https://stackoverflow.com/questions/65670381

QUESTION

Return multiple statements in Python Flask in the same route

Asked 2020-Oct-30 at 03:28

I am trying to put two variables from the Zillow API into my Flask App. The issue that I am running into is that my statements are returning all the values instead of their appropriate variable. See screenshot below:

The screenshot shows 3 numbers for each line statement. The correct output should be "The price of the house is 1011065" and "The price of rent is 2150". The third number is the size of the home, I just didn't write out the statement for it yet.

by the way, I know the reason this is happening is because I am pulling all the 3 variables in one return statement, but in my html file, I am only calling one of the variables in the return statement per line

I have two python files. One is pulling all the data from the zillow api (we will call this zillow.py) and the other (flask.py) and the oher is the flask app.

The zillow.py is returning the price of the house and the price of the rent via this function:

...

ANSWER

Answered 2020-Oct-30 at 03:27

price_map = {}

price_map['house_price'] = house_price
price_map['rent_price'] = rent_price
price_map['home_size'] = home_size

return render_template('success.html',price_map).format()

Source https://stackoverflow.com/questions/64602266

QUESTION

Extract the numbers in a string from a column in pandas dataframe

Asked 2020-Oct-17 at 15:58

I need to do feature extraction using the column 'Amenities' from the dataframe house_price.

The column Amenities has the following set of data

...

ANSWER

Answered 2020-Oct-17 at 15:57

You can try this:

Source https://stackoverflow.com/questions/64404151

QUESTION

How to turn a list into a nested dictionary?

Asked 2020-Oct-04 at 10:24

Beginner programmer here. I have 2 questions.

Turn a list into a nested dictionary:

house_prices = ['£200k', '£300k', '£500k'`]

I want to turn it into--

...

ANSWER

Answered 2020-Oct-04 at 10:24

d = {} 
for i in xrange(len(house_prices)):
    d["house{}".format(i+1)] = { "price": house_prices[i] }

Source https://stackoverflow.com/questions/64192836

QUESTION

pandas objects created by bs4 & regex elements are being printed as python lists

Asked 2020-Aug-18 at 01:41

I'm scraping house data from zoopla.co.uk

I'm getting the data I want but three elements are being printed to the csv file and dataframes as python lists. The two elements bathrooms and bedrooms are strings so they get printed correctly, but the other three elements that were found by using regex, house_price, house_type, and station_distance are printed as lists types.

Should I not be using regex and be using bs4 only? I cannot simply just use the replace function right? Thanks in advance.

Code

...

ANSWER

Answered 2020-Aug-18 at 01:41

They are printed like list because you are using findall,

Source https://stackoverflow.com/questions/63460582

QUESTION

Pandas only printing last bs4 element to csv file

Asked 2020-Aug-17 at 12:41

I'm scraping house data from zoopla.co.uk

The dataframe seems to be printing correctly, but pandas is printing only the last element (the last house) to the csv file.

I also tried casting each object as a list in the pd.DataFrame({}) statement but that did not change the csv output.

Code

...

ANSWER

Answered 2020-Aug-17 at 12:41

You are over-riding the dataframe with each iteration.

Use:

Source https://stackoverflow.com/questions/63450796

QUESTION

Plotting a scatter plot from a list

Asked 2020-Apr-10 at 02:18

Consider:

...

ANSWER

Answered 2020-Apr-01 at 14:22

You assign House_prices to df. House_prices is a list and list does not have a drop attribute.

Source https://stackoverflow.com/questions/60973035

QUESTION

plotting a scatter plot

Asked 2020-Apr-01 at 16:58

House_prices = [10050, 42300, 50206, 105000, 22350]
Num_rooms = [4, 5, 6, 10, 12, 2]

...

ANSWER

Answered 2020-Apr-01 at 16:58

So, first create a x-axis array or list. I used numpy for that.

Source https://stackoverflow.com/questions/60975830

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

Vulnerabilities

No vulnerabilities reported

Install house_price

You can download it from GitHub.

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: