rome | Java library for RSS and Atom feeds
kandi X-RAY | rome Summary
kandi X-RAY | rome Summary
Rome is a Java framework for RSS and Atom feeds. The framework consist of several modules:. ️ This project is in maintenance mode due to a shortage of active developers. We won't accept new features but try to keep all dependencies up-to-date.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Create a real feed
- Create an Atom entry from a feed entry
- Converts a List of Person objects to a List of Atom objects
- Create Atom link
- Parse the DCModule tree
- Parses a list of subject into a list of subjects
- Extract the taxonomy from a XML element
- Generate the CATA element
- Generate CDATA element
- Generate the GeoRSS module
- Parse the RDF module
- Parse the feed
- Populates an element tree with elements from a module
- Parse a module element
- Starts the downloader
- Parse the XML module
- Parse XML element
- Parse the given element
- Generate the XML element
- Copy feed data
- Generate the weather module
- Copy feed information
- Extract module information from XML
- Generate the custom tags
- Parse the content module
- Parse a XML module into a module
rome Key Features
rome Examples and Code Snippets
License : Strong Copyleft (CC BY-SA 4.0)
Copydf[df['date'] == 6]['location'].value_counts()
paris 2
rome 1
Name: location, dtype: int64
variable "yaml" {
default = < user_property.value if split(".", user_property.key)[1] == "city"
}
}
output "test" {
value = {for idx, city in local.cities:
city => merge([
for user_property i{
"settings": {
"analysis": {
"analyzer": {
"my_analyzer": {
"tokenizer": "my_tokenizer",
"filter": "lowercase"
}
},
"tokenizer": {
"my_tokenizer": {
"type": "edSELECT PrdTbl.Item,PrdTbl.Destination,PrdTbl2.cnt
FROM ...
SELECT Item, Destination, cnt
FROM (
SELECT Item, Destination, count(*) OVER (PARTITION BY Item) as cnt
FROM ProductsTable
)
WHERE cnt > 1
ORDER BY name=(Alex Barbara Connor Daniel Matt Peter Stan)
age=(22 23 55 32 21 8 89)
city=(London Manchester Rome Alberta Naples Detroit Amsterdam)
touch info.txt
echo "Name Age City" > info.txt
for n in $(seq 0 6); do
echo ${name[$n]} ${agfrom pyspark.sql import functions as F
from pyspark.sql.functions import col
df.withColumn("Customer", F.when(col('Customer').like('IT - Rome%')\
, 'IT - Rome - societe generale').otherwise(col('Customer'))).show()
+-----------------LocalDate launchDateAsSeenInRome = LocalDate.of( 2021 , 1 , 23 ) ;
LocalTime launchTimeAsSeenInRome = LocalTime.of( 21 , 0 ) ;
ZoneId zoneEuropeRome = ZoneId.of( "Europe/Rome" ) ;
// Assemble those three parts to determine a moment.
ZonedDfrom itertools import product
from collections import defaultdict
d = defaultdict(list)
#create a cross cartesian of the two columns
#and keep only values where City list can be found in text descripton
for first,last in product(df1.text_dPUT test_tokenizer
{
"settings": {
"analysis": {
"char_filter": {
"my_char_filter": {
"type": "mapping",
"mappings": [
"- => _"
]
}
},
"analyzer": {
#!/bin/bash
declare -n arr=$1
GA=( Atlanta Rome )
FL=( Jacksonville Miami )
for city in "${arr[@]}"; do
echo "$city"
done
$ ./script.sh GA
Atlanta
Rome
$ ./script.sh FL
Jacksonville
Miami
Community Discussions
Trending Discussions on rome
QUESTION
I have a dictionary that can take any length, for example, this one:
...ANSWER
Answered 2022-Apr-15 at 10:56Assuming that the dic dictionary contains all columns, simply use:
QUESTION
I have a dataframe (df) in R and I want to create a new column (city1_n) that contains a line stored in the list key whenever there is a partial match between city1 and key. Bellow I have created a little example that should help to visualize my problem.
...ANSWER
Answered 2022-Apr-14 at 13:23Use fuzzyjoin::fuzzyjoin:
QUESTION
Any way to make this stop blinking after every update of the clocks? this display a world time zone clock and every time it updates it blinks, i would like to remove that blinking, is there a way to do this?
...ANSWER
Answered 2022-Mar-29 at 09:28Don't recreate whole GUI every cycle. The solution is to update only the text values of labels.
QUESTION
Good morning to all, I have some troubles retrieving timestamp from CalendarEvent of my Calendars. Consider I'm a beginner on Google Scripts so maybe I don't see a very simple bug in my code..
The Calendar from which I'm trying to retrieve my events has Timezone setup with GMT +0100 Central European Time. The events scheduled in this calendar also has this Timezone..
But when I call the method
...ANSWER
Answered 2022-Mar-04 at 15:50Did you change your time zone on google script manifest file?
if not:
On the left side of the page, go to Settings, check 'Show "appsscript.json" manifest file in editor'
Then on the files you would see a appsscript.json, change the time zone for your script.
If you have set your time zone for your script correctly and that does not work. Then use Utilities.formatDate function to change time zone.
QUESTION
I'm quite new to redis and have a task at hand to optimize redis operations for a dashboard of a non-profit.
The scenario:
- We have multiple cities (London, Rome,...)
- We have 1000s of users in each city
We have a need to load users from a particular city, and at the moment it is stored by city ID. As you can imagine, this results in a massive document that needs to be re-cached on every small change to the user.
I want to change this methodology so users are stored in Redis in the following format: [cityID][userID]. So if I need to pull all users from london, I can just call IDFORLONDON?
Would this be the correct way to approach it? Is there a way to load only 10 users from IDFORLONDON? (for pagination). Or is my option to load all and then slice?
Thank you!
...ANSWER
Answered 2022-Mar-03 at 19:13QUESTION
I have the following DataFrame:
...ANSWER
Answered 2022-Mar-02 at 15:10use a dictionary to get locations by year
QUESTION
I need to deploy an application that have Europe/Rome timezone.
I applied the following deployment:
...ANSWER
Answered 2022-Feb-04 at 01:33If you remove the env variable, that should be works. for example:
QUESTION
I am running a python script on RaspberryPi 4, and today when I ran the script again, it showed me the error ModuleNotFoundError: No module named 'adafruit_ssd1306' although I ran this same script yesterday about 10 times, it ran perfectly without any errors. I did not change anything in the script, not even its location. I tried force reinstalling the library,
running the script from another location, rebooting the pi, running it as sudo but none of them worked either.
By using pip3 freeze it shows that the package is installed and trying to install the package again says that the requirement is already satisfied.
Python version: 3.7
Main.py
...ANSWER
Answered 2022-Jan-30 at 06:491- make sure you typed the name of module correctly
2- make sure you use the correct python version
python3:
QUESTION
I have a Dataframe with one row per minute. I need to access the row corresponding to the current minute
...ANSWER
Answered 2022-Jan-12 at 11:04The reason of the difference seems rather simple.
When using pandas you're rounding to the nearest minute, as it's a rounding it goes to the closest value (ie: next minute if it's after second 30).
When using datetime formatting you are merely dropping the seconds.
You can get the same behaviour by either using floor instead of round in pandas datetime of by rounding datetime.now() to the closest minute before formatting the result.
Or you may just don't care anymore of the difference now that you know where it's coming from and just stick with the pandas method (what I would do).
Note: another minor difference is that you are actually caling now() at two different times in your code once for pandas the other for datetime, hence there already exist a time difference between both. But it's not the main effect.
QUESTION
I have a Pandas Dataframe like this
Age Gender City 10000 Male Tokyo 15000 Male Tokyo 20000 Male Tokyo 12000 Female Madrid 14000 Female Madrid 16000 Female Madrid 15000 Female Rome NaN Female Rome NaN Male Tokyo NaN Female RomeThose 3 last rows I'd like to input the median based on the gender and city. For example, for the Female in Rome that has NaN value, it would be 15000 because of the only one female of Rome that has 15000.
For the male with Nan values and from Tokyo, it would be 15000 because it is the median of the male of Tokyo.
I know I can fill with the median of the column df['Age'] = df['Age'].fillna(median), but I want to calculate it using the other categorial columns too.
Maybe something like this?
df['Age'] = df['Age].finnla(df[['Age','Gender','City']].groupby(by=['Gender','City']).median())
How can I do this?
Appreciate ur help
...ANSWER
Answered 2022-Jan-11 at 22:22Let us try groupby with transform, also please make sure it is NaN not 'Nan'
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install rome
You can use rome like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the rome component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
