kandi X-RAY | casecode Summary
kandi X-RAY | casecode Summary
DCloud Open Source Project Highlights
Top functions reviewed by kandi - BETA
- Default prefetch function
- This function is called when the request completes .
- Searches for a single selector .
- Create an animation animation
- Creates a new matcher .
- Creates a new matcher instance .
- in ajax request
- Breaks a selector into an array of tokens .
- Fetches the current selector for the given selector .
- Creates a matcher that matches the given tokens .
casecode Key Features
casecode Examples and Code Snippets
Trending Discussions on casecode
When attempting to import XML data using an SSIS package, I keep getting this error :
The XML Source was unable to process the XML data. The Xml source document contains multiple "CaseCode" elements and maxOccurs=1 was specified in the Xml schema.
I'm using the following sample data:...
ANSWERAnswered 2022-Mar-08 at 22:24
I tried to validate the XML against the XSD.
The validation revealed few errors.
You need to make a decision about what is correct XML or XSD.
I have two separate tables in my database where I have a table cases in which i have a column as connected_advocates and I am storing value in that column as string like this, 2,13,4 each value in that is id of another table Advocates. So now I wants to get name of every connected advocates by splitting ids from that string and join each of that with advocates table...
ANSWERAnswered 2021-Dec-04 at 06:04
FIND_IN_SET could work.
I'm trying to compare two dictionaries which contains values as list of dictionary elements. My result should return True or False if the dictionary is same else False, also if the dictionary is different, i would like to get the value which is different.Following is the code i have tried, i have tried to refer some more stackoverflow answers but I'm unable to get from them.Hence posting a new question.I'm new to python as well.
following is my sample data...
ANSWERAnswered 2020-Dec-09 at 20:31
same = True for (x,x_nest),(y,y_nest) in zip(dict_a.items(),dict_b.items()): for x_nested, y_nested in zip(x_nest, y_nest): for(x_key,x_value),(y_key,y_value) in zip(x_nested.items(),y_nested.items()): if x_value != y_value: print(x_key,x_value) print(y_key,y_value,'\n') same = False else: pass print(same) >>> casecode 243-11 casecode 243-10 False
Is there a way to get the sum of all occurrences of an array in JSON API? I'm new to API and Programming and I really want to learn it. Please help me.
ANSWERAnswered 2020-May-29 at 05:13
I think the sample code here demonstrates what you are trying to do.
The script could be shorter, but I made it verbose for clarity.
key and a
value. (The key generally must be a string, but the value can be anything, including another object.)
This script uses a
collector object with 3 properties, 1 for each type of data you are counting. The
key for each property corresponds to the data type (such as
ProvRes), and the
value for each property is an object that we can think of as containing many "sub-properties".
As the script loops through the input data, it will look at the
ProvRes property of each item in the input data.
- If the value is unfamiliar, it will create a new sub-property in the
prs object. The
key of this sub-property will be the new (unfamiliar) value, and the
value of the sub-property will be the integer 1 (indicating that we have seen this value 1 time).
- If the value is familiar, it will update the corresponding sub-property, incrementing the value by 1 (because we have now seen this value 1 additional time).
Each time through the loop, the script handles
ProvRes this way and also handles
undefined, as can be seen if you run the script in the snippet.)
I want to be able to calculate the growth rates of Covid-19 cases per cities here in the Philippines. I'm using the department of health public cases dataset which contains caseID, date when case was confirmed, what city the case is, among many.
I tried using the groupby method to split the data into cities and dates, count the cases per day, calculate cumulative sum of these counts, the daily percentage change and finally the mean of percent change in the past 14 days.
I am able to do these but what I can't figure out is how to combine them again to a dataset containing Cities and their average growth rate in past 14 days.
Here's what I had so far:...
ANSWERAnswered 2020-May-22 at 18:46
Edit: Bettter solution:
No vulnerabilities reported
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