covid19 | JSON time-series of coronavirus cases | Dataset library
kandi X-RAY | covid19 Summary
kandi X-RAY | covid19 Summary
Transforms the data from CSSEGISandData/COVID-19 into a json file. Available at Updated three times a day using GitHub Actions.
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- Update the extracted data
- Extracts the data from a csv file
covid19 Key Features
covid19 Examples and Code Snippets
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Trending Discussions on covid19
QUESTION
I have a Python program using Pandas, which reads two dataframes, obtained in the following links:
Casos-positivos-diarios-en-San-Nicolas-de-los-Garza-Promedio-movil-de-7-dias: https://datamexico.org/es/profile/geo/san-nicolas-de-los-garza#covid19-evolucion
Denuncias-segun-bien-afectado-en-San-Nicolas-de-los-GarzaClic-en-el-grafico-para-seleccionar: https://datamexico.org/es/profile/geo/san-nicolas-de-los-garza#seguridad-publica-denuncias
What I currently want to do is a groupby in the "covid" dataframe with the same dates, having a sum of these. Regardless, no method has worked out, which regularly prints an error indicating that I should be using a syntaxis for "PeriodIndex". Does anyone have a suggestion or solution? Thanks in advance.
...ANSWER
Answered 2022-Mar-29 at 16:13You can simply usen group by statement.Timegrouper by default converts it to datetime
QUESTION
I'm trying to make a Covid-19 tracker App by ReactJS. I want to get data that only an object (a specific province value) from JSON API with ProvinceChange event.
Problem :
I can't get data that is only an object (a specific province value).
what I tried :
I tried a method filter using province.name
but is not work, as I get
Sample JSON API :
...ANSWER
Answered 2022-Mar-07 at 20:22If I'm understanding correctly, it looks like you're trying to set provinceInfo
to the single province you're searching for by provinceCode.
There are two changes to make if that's the case:
'{province.name}'
is a string. I think you need to change that toprovinceCode
which is a variable reference set to the province you want.- It looks like you're trying to set
provinceInfo
to an object..filer()
will return an array with only items matching, so you probably want .find() instead, which returns just one.
So you can change:
QUESTION
I'm trying to import an csv file to my database table, the origin of this file was a previous database with the same structure. My issue is that it imports only 1000 rows instead of the whole 62k+ file. The script i'm using is:
...ANSWER
Answered 2022-Feb-13 at 21:08Some clients have a option, where they reduce the number of returned Rows with a LIMIT 1000
.
You should check, how many rows you actually have with
QUESTION
I have a dataframe, where one column contains a tweet. I want to get the rows of this dataframe, where this "tweet" column contains any words that start with "#" and have 2 or more capital letters.
So for example, I want to retreive such rows:
- I love coding in python. #CodingSession
- I am not scared of #COVID19 anymore.
However, these would not classify under my conditions:
- I love coding in python. #Coding #Session
- I love coding in python. #Codingsession
- I am not scared of #Covid19 anymore.
ANSWER
Answered 2022-Feb-11 at 19:18Try str.contains
:
QUESTION
How do I add label names in the white boxes to each of the three axis on the ggalluvial sankey plot from the dataframe? (see image)
Column "Country" has observations for multiple countries. In the example below I am focused on Ireland which has the label "IE". How do I harvest the dataframe for the Country name using the ggplot code below? I will also be doing this task for the "Vaccine" and the "TargetGroup" names so if the solution can include these columns too, I would be grateful. Thank you
Dataframe code and sankey colours - data is from the EU ECDC
...ANSWER
Answered 2022-Jan-03 at 00:56Figured it out - full code chunk here. I hope this helps someone out
QUESTION
I am not sure if this task is of self join
or not. I am basically trying to lookup the latest date for each State.UnionTerritory
in below dataframe where the Daily_confirmed
cases for each of them were <= half of current Date.
This will help me to get the the doubling time of cases for each State on each date.
...ANSWER
Answered 2021-Dec-25 at 11:20I'm not sure if this is your desired output. The approach uses a full_join
together with filter
to simulate an non-euqal join in dplyr. Then we do some data cleaning and in the last step we need a left_join
to our original data, since there are quite a couple of days, where we cannot calculate the doubling date, since its not included in the time series.
QUESTION
Hi guys I have a problem. I did a twitter scraper work for my thesis inorder to obtain some texts and hashtags to process. So the problem is the seguent: in the hashtag column, I have all rows such as:
...ANSWER
Answered 2021-Dec-21 at 01:30Since you have "['covid19', 'croazia', 'slovenia']"
in your Hashtag column, you can use:
QUESTION
I am working on a python script to verify New Zealand Vaccination passports. I struggle at the point where I have the government's certificate and and the decoded COSE message and need to try to verify its signature:
...ANSWER
Answered 2021-Dec-19 at 22:06The reason why it fails is that you use the wrong key type for the given key.
For the key provided as a JWK ("kty": "EC"
) you need to use EC2, but in your code, you're trying to map it to OKP parameters.
Therefore you first need to change two lines in the import section of your code:
QUESTION
I am new in web scraping with r and I am trying to get a daily updated object which is probably not text. The url is here and I want to extract the daily situation table in the end of the page. The class of this object is
...ANSWER
Answered 2021-Dec-11 at 23:54Without getting into the business of writing web scrapers, I think this should help you out:
QUESTION
I'm making a project that takes google searches via the googlesearch module, and sorts them by the top-level domain. I'll use COVID-19 as an example.
Input:
...ANSWER
Answered 2021-Nov-15 at 01:07One approach would be to create a dictionary of domain extensions along with ranks for sorting the URLs. Then, call sorted
with a lambda expression which extracts the domain extension from each URL and does a look up for the sorting value.
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