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kandi X-RAY | election Summary
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of election
election Key Features
election Examples and Code Snippets
@Override
protected void handleHeartbeatInvokeMessage() {
try {
boolean isLeaderAlive = messageManager.sendHeartbeatMessage(leaderId);
if (isLeaderAlive) {
LOGGER.info(INSTANCE + localId + "- Leader is alive.");
Thre
@Override
protected void handleElectionMessage(Message message) {
var content = message.getContent();
LOGGER.info(INSTANCE + localId + " - Election Message: " + content);
var candidateList = Arrays.stream(content.trim().split(","))
@Override
protected void handleHeartbeatInvokeMessage() {
try {
var isLeaderAlive = messageManager.sendHeartbeatMessage(this.leaderId);
if (isLeaderAlive) {
LOGGER.info(INSTANCE + localId + "- Leader is alive. Start next hea
Community Discussions
Trending Discussions on election
QUESTION
My dataframe df
is:
ANSWER
Answered 2021-Jun-11 at 11:55get the party who is top 2 in 2010 elections:
QUESTION
My dataframe df
is:
ANSWER
Answered 2021-Jun-11 at 08:10You can try withh groupby
and unstack
:
QUESTION
My dataframe df
is:
ANSWER
Answered 2021-Jun-10 at 22:56I'd use .pivot
:
QUESTION
My dataframe df
is:
ANSWER
Answered 2021-Jun-10 at 20:55I believe the one liner df.groupby(["Election Year"]).max().reset_index()['Election Year', 'Party']
solves your problem
QUESTION
For the given dataframe df
as:
ANSWER
Answered 2021-Jun-09 at 18:57First you need to figure out the winner in every election for each region, essentially the party with the highest vote.
winners = df.groupby(['Election Yr.', 'Region']).apply(lambda x: x.set_index('Party').Votes.idxmax())
Then you can figure out for each region how many different winners there have been:
n_unique_winners = winners.groupby(['Region']).nunique()
You can also figure out how many elections have occurred in each region:
n_elections = winners.groupby(['Region']).size()
Entries with a true value in n_unique_winners == n_elections
are the regions you are looking for.
To get a list of these regions, you can do n_unique_winners[n_unique_winners == n_elections].index.values
QUESTION
For the given dataframe df
as:
ANSWER
Answered 2021-Jun-09 at 13:24Try using a combination of groupby
and idxmax
:
QUESTION
I have a dataframe of US House election results (general and primary) covering several decades, with the relevant columns arranged like this:
...ANSWER
Answered 2021-May-31 at 23:42Here you go, just need to scope what is an winner and use it inside mutate
QUESTION
I have three MSK clusters; dev, nonprod & prod. They all have the following cluster configuration - there is no topic level configuration.
...ANSWER
Answered 2021-May-31 at 12:30So this turned out to be an issue with a Producer sending messages to Kafka in a US date format rather than UK. Therefore, it created messages that would appear to be timestamped in the future - hence not be older than 100 hours and eligible for deletion.
To remove the existing message we set log.retention.bytes
which prunes messages irrespective of the log.retention.hours
setting. This caused the kafka topic to be pruned and delete the erroneous message - we then unset log.retention.bytes
.
Next we set the log.message.timestamp.type=LogAppendTime
to ensure that messages are stamped with a queue time as apposed to the document time. This will prevent bad dates from producers causing this issue again in the future.
QUESTION
I am working on a Dash Plotly project visualizing US Presidential elections data. One part of my project shows a county choropleth map that can be changed by choosing a different state. To the right of this map is the % of the vote both parties earned for each election for any county. This second graph is populated by clicking on the choropleth county map.
This all works fine, but the issue I'm having is, when I switch states, the choropleth map updates just fine, but the second graph goes blank and doesn't populate until I click on the map again.
I tried to work around this by just setting the 2nd graph to first show the 1st county alphabetically upon switching states before a county is clicked. However, it does not seem to work properly.
Here is a brief snippet of my code:
...ANSWER
Answered 2021-May-30 at 11:35The problem is in this line in your update_figure4
callback (inside the else
statement):
QUESTION
On the webpage: https://podcasts.apple.com/us/podcast/id979020229, there is a title that reads "Python at the US Federal Election Commission". When you click on that title, a link opens. What I'm trying to do is firstly, find the first title on the webpage that has an embedded link. Then, to get that link and print it. I'm not sure how to do this in Python, but I've tried using different ways I thought would work. One of the ways involved the BeautifulSoup module. My code is below.
Code:
...ANSWER
Answered 2021-May-28 at 01:24You can use findall with the class of the link.
I used inspect element to determine which class to select, in this case, tracks__track__link--block
Then you can iterate through the links.
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