kashmir | Ruby DSL | Caching library
kandi X-RAY | kashmir Summary
kandi X-RAY | kashmir Summary
Kashmir is a Ruby DSL that makes serializing and caching objects a snap. Kashmir allows you to describe representations of Ruby objects. It will generate hashes from these Ruby objects using the representation and dependency tree that you specify. Kashmir::ActiveRecord will also optimize and try to balance ActiveRecord queries so your application hits the database as little as possible. Kashmir::Caching builds a dependency tree for complex object representations and caches each level of this tree separately. Kashmir will do so by creating cache views of each level as well as caching a complete tree. The caching engine is smart enough to fill holes in the cache tree with fresh data from your data store. Combine Kashmir::Caching + Kashmir::ActiveRecord for extra awesomeness.
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Top functions reviewed by kandi - BETA
- Transforms a representation of the appliance .
- Makes an array with the given attributes .
- Applies a value to the given hash .
- Returns a representation of the value .
- Initialize a new instance
- Read a representation of a representation of the object .
- Clears the representation of a representation .
- Determine if the cache is enabled
- Reads a value from a field
- Parses a representation of a representation
kashmir Key Features
kashmir Examples and Code Snippets
Community Discussions
Trending Discussions on kashmir
QUESTION
I am trying to extract the data. I tried many solutions from Stackoverflow, but I failed to extract state_id
and state_name
. I know many similar questions have been answered but I am not able to do it.
Here you can get the json data:
...ANSWER
Answered 2021-Jun-13 at 04:28The dictionary is actually quite simple. We have the key states
, and it's value is a list containing sub dictionaries. If we iterate through this list we can easily index state_id
and state_name
. Now I don't know how you want to store this gathered data, so I assumed it would be best to put each group of "state_id" & "state_name"
in a tuple.
QUESTION
So I have a data frame like this
...ANSWER
Answered 2021-Jun-01 at 18:37The issue was in the application of df.apply
df.apply
needs to be given a function taking in the value from each row it is being iterated over. You also need to clean the return of get_close_matches
which returns a list
, so you need to take the first element
QUESTION
Let's say I have a state column in pandas dataframe like this: This is sample data. Actual may differ.
...ANSWER
Answered 2021-May-27 at 20:38Just add the following entries to your dictionary:
QUESTION
The response from the API is:
...ANSWER
Answered 2021-May-12 at 08:22You're trying to send the Response
object, while you want either the Python object from the response, in which case you can use res.json()
, or you want the raw text of the response, in which case you can use res.text
.
QUESTION
I am pretty new to Android.I am trying to parse a JSON url. But I am getting following error "Json parsing error: No value for unofficial-summary". Here is the response that I am getting.
Response from url: {"success":true,"data":{"summary":{"total":15616130,"confirmedCasesIndian":15616082,"confirmedCasesForeign":48,"discharged":13276039,"deaths":182553,"confirmedButLocationUnidentified":0},"unofficial-summary":[{"source":"covid19india.org","total":7945975,"recovered":7198877,"deaths":119538,"active":626192}],"regional":[{"loc":"Andaman and Nicobar Islands","confirmedCasesIndian":5466,"confirmedCasesForeign":0,"discharged":5243,"deaths":64,"totalConfirmed":5466},{"loc":"Andhra Pradesh","confirmedCasesIndian":976987,"confirmedCasesForeign":0,"discharged":915626,"deaths":7472,"totalConfirmed":976987},{"loc":"Arunachal Pradesh","confirmedCasesIndian":17113,"confirmedCasesForeign":0,"discharged":16835,"deaths":56,"totalConfirmed":17113},{"loc":"Assam","confirmedCasesIndian":227473,"confirmedCasesForeign":0,"discharged":217296,"deaths":1145,"totalConfirmed":227473},{"loc":"Bihar","confirmedCasesIndian":342059,"confirmedCasesForeign":0,"discharged":283863,"deaths":1841,"totalConfirmed":342059},{"loc":"Chandigarh","confirmedCasesIndian":35148,"confirmedCasesForeign":0,"discharged":30768,"deaths":421,"totalConfirmed":35148},{"loc":"Chhattisgarh","confirmedCasesIndian":574299,"confirmedCasesForeign":0,"discharged":442337,"deaths":6274,"totalConfirmed":574299},{"loc":"Dadra and Nagar Haveli and Daman and Diu","confirmedCasesIndian":5422,"confirmedCasesForeign":0,"discharged":4047,"deaths":4,"totalConfirmed":5422},{"loc":"Delhi","confirmedCasesIndian":905540,"confirmedCasesForeign":1,"discharged":807328,"deaths":12638,"totalConfirmed":905541},{"loc":"Goa","confirmedCasesIndian":69311,"confirmedCasesForeign":1,"discharged":60145,"deaths":926,"totalConfirmed":69312},{"loc":"Gujarat","confirmedCasesIndian":428177,"confirmedCasesForeign":1,"discharged":346063,"deaths":5615,"totalConfirmed":428178},{"loc":"Haryana","confirmedCasesIndian":371610,"confirmedCasesForeign":14,"discharged":318369,"deaths":3483,"totalConfirmed":371624},{"loc":"Himachal Pradesh","confirmedCasesIndian":79410,"confirmedCasesForeign":0,"discharged":68164,"deaths":1219,"totalConfirmed":79410},{"loc":"Jammu and Kashmir","confirmedCasesIndian":150238,"confirmedCasesForeign":0,"discharged":134697,"deaths":2071,"totalConfirmed":150238},{"loc":"Jharkhand","confirmedCasesIndian":172315,"confirmedCasesForeign":0,"discharged":137590,"deaths":1547,"totalConfirmed":172315},{"loc":"Karnataka","confirmedCasesIndian":1198644,"confirmedCasesForeign":0,"discharged":1025821,"deaths":13646,"totalConfirmed":1198644},{"loc":"Kerala","confirmedCasesIndian":1272637,"confirmedCasesForeign":8,"discharged":1148671,"deaths":4978,"totalConfirmed":1272645},{"loc":"Ladakh","confirmedCasesIndian":12556,"confirmedCasesForeign":0,"discharged":10610,"deaths":134,"totalConfirmed":12556},{"loc":"Lakshadweep","confirmedCasesIndian":1335,"confirmedCasesForeign":0,"discharged":817,"deaths":1,"totalConfirmed":1335},{"loc":"Madhya Pradesh","confirmedCasesIndian":433704,"confirmedCasesForeign":0,"discharged":350720,"deaths":4713,"totalConfirmed":433704},{"loc":"Maharashtra","confirmedCasesIndian":3960356,"confirmedCasesForeign":3,"discharged":3213464,"deaths":61343,"totalConfirmed":3960359},{"loc":"Manipur","confirmedCasesIndian":29869,"confirmedCasesForeign":0,"discharged":29106,"deaths":378,"totalConfirmed":29869},{"loc":"Meghalaya","confirmedCasesIndian":15116,"confirmedCasesForeign":0,"discharged":14105,"deaths":154,"totalConfirmed":15116},{"loc":"Mizoram","confirmedCasesIndian":5085,"confirmedCasesForeign":0,"discharged":4569,"deaths":12,"totalConfirmed":5085},{"loc":"Nagaland","confirmedCasesIndian":12650,"confirmedCasesForeign":0,"discharged":12299,"deaths":94,"totalConfirmed":12650},{"loc":"Odisha","confirmedCasesIndian":377464,"confirmedCasesForeign":0,"discharged":349377,"deaths":1953,"totalConfirmed":377464},{"loc":"Puducherry","confirmedCasesIndian":48974,"confirmedCasesForeign":0,"discharged":43184,"deaths":717,"totalConfirmed":48974},{"loc":"Punjab","confirmedCasesIndian":309316,"confirmedCasesForeign":0,"discharged":264562,"deaths":8045,"t
What am I doing wrong?
...ANSWER
Answered 2021-Apr-26 at 06:32Json is like
QUESTION
I'm attempting to expand this dataframe from a list of pins/pin ranges and their respective locations to a simple list of pins and locations. In order to do that, I'm iterating through a dataframe, directly copying an entry that doesn't have a hyphen and using a for loop to expand any entry that does. As per what I've read online the best practice when looping is to append rows to a list and then convert the list into a dataframe, so I chose to append all rows to a list 'lst'
...ANSWER
Answered 2021-Mar-23 at 06:43Create column filled by range
s and use DataFrame.explode
:
QUESTION
I have a list of excel files whose names are formatted similarly. I need to use the information in their names as columns in a pandas Dataframe. I'm not too familiar with regex but I used google and stack overflow to figure out how to do what I needed. However, there are a few edge cases that I need help figuring out.
This is a list of names of the first 40 files I have and it can help demonstrate the challenges that I'm facing:
...ANSWER
Answered 2021-Mar-02 at 09:39I think you can revamp your previous solution a bit to
QUESTION
ANSWER
Answered 2020-Dec-02 at 06:19in the for
loop, how about chaging every states_group
to group
or there will be no meaning of doing for
loop with .iterrows()
QUESTION
I have values of the states and cities of India stored in JSON. That code will be to big to put up in here so I tried the same thing but with only states. But that file is not getting compiled.
Error Message :
...ANSWER
Answered 2020-Aug-14 at 14:30jsonArray
is pointing towards incorrect reference. If you check your raw JSON, it's containing an array inside an array.
QUESTION
I want to fetch data from this file: https://api.covid19india.org/state_district_wise.json
...ANSWER
Answered 2020-May-07 at 00:42Data comming from API is JSONArray, not JSONObject
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