commute | interactive visualisation dashboard for transportation | Data Visualization library
kandi X-RAY | commute Summary
kandi X-RAY | commute Summary
An interactive visualisation dashboard for transportation and land use data
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Trending Discussions on commute
QUESTION
I have such a html page inside the content_list variable
...ANSWER
Answered 2022-Apr-12 at 09:33For the first one you could the
QUESTION
I have a problem as I can't remove brackets '(' ')' and comas ',' from my data frame
Data frame looks like this
...ANSWER
Answered 2022-Apr-09 at 15:29You have tuples, so one option is to explode
it:
QUESTION
Given a dataframe as shown here:
user_id platform level_1 level_2 level_3 confidence_score 1391569404252 android Psychographics Movies Lovers Horror Movies Fans 0.69 1391569404252 android Psychographics Mobile Enthusiasts High Data Users 0.43 1391569404252 android Psychographics Travellers Local Commuters 0.17 1391569404252 android Psychographics Movie Lovers English Movies Fans 0.47 1391569404252 android Psychographics Movie Lovers Indonesian Movies Fans 0.37 1391569404252 android Psychographics iflix Viewing Behaviour casual 1.00I need to groupby the data by user id, platform, level 1, level 2 and select the max value of confidence while retaining the level 3 field. How can this be done?? I have tried using groupby(), but the level 3 columns is removed.
The expected output is as below
user_id platform level_1 level_2 level_3 confidence_score 13915694042520 android Psychographics Movies Lovers Horror Movies Fans 0.69 1391569404252 android Psychographics Mobile Enthusiasts High Data Users 0.43 1391569404252 android Psychographics Travellers Local Commuters 0.17 1391569404252 android Psychographics Movie Lovers English Movies Fans 0.47 1391569404252 android Psychographics flix Viewing Behaviour casual 1.00 ...ANSWER
Answered 2022-Mar-24 at 03:57One way using pandas.DataFrame.groupby.idxmax
:
QUESTION
I have a large data set which I show below:
...ANSWER
Answered 2022-Mar-18 at 19:47Could just select relevant columns, use add_count
, and take the unique rows:
QUESTION
I have a data set representing the NYC Citibike trips. The data looks like this:
...ANSWER
Answered 2022-Mar-18 at 17:44I highly recommend reading R For Data Science
QUESTION
I have create delete method in my repo class and did use @Transactional at class level,
When I call deletebyID its deleting that id. in Junit I did use DirtiesContext it should roll back the transaction, but due to @Transactional at class level, it commuted my delete (It did what suppose to do),
now my juint not able to rollback that transaction.
How to overcome this issue?
...ANSWER
Answered 2022-Mar-05 at 00:08You can use @Transactional for each test case. It will rollbacks transactions. It works.
QUESTION
I am trying to parse several RSS news feeds which I will later filter based on what I am looking for. Each feed has a slightly different XML Schema but in general has a Title, Description, link and pubDate. Some use a CDATA section, and some don't, so I incorporated and if statement for those that use it. I am trying to write one routine that matches all. Here is a sample of the XML giving me the headache:
...ANSWER
Answered 2022-Jan-13 at 17:19PowerShell's XML type adapter can be a bit "wonky" (for lack of a better technical term), because it attempts to simplify something complex - and as a result, it simply ignores namespace prefixes and resolves nodes by their local name instead, leading to $_.title
resolving both the </code> and
elements.
Instead, use XPath to resolve the values as well:
QUESTION
I have this df1 with a lot of different news articles. An example of a news article is this:
...ANSWER
Answered 2021-Nov-26 at 12:41First flatten df2
values to dictionary, add word boundaries \b\b
and pass to Series.str.extractall
, so possible use Series.map
and create DataFrame
by reset_index
, last pass to crosstab
and append to original by DataFrame.join
:
QUESTION
I have a CSV file about customers' data, I converted it into JSON Dict type you can a single unreal person's data below.
...ANSWER
Answered 2021-Nov-15 at 17:30"Univariate" means "involving only one variable". For example, only involving the age. "Multivariate" just means "involving multiple variables".
To calculate the number of bins for a given bin width, you could subtract the smallest possible value from the largest, divide by the bin width, and add 1. Seaborn's histplot
lets you directly set the binwidth
and does the calculations for you.
Here is an example using the titanic dataset:
QUESTION
my code is
...ANSWER
Answered 2021-Nov-09 at 10:16Flaws in your code:
- Never called method: fault_cc(object)
- In the line
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