Hi Pankaj,

The place initially referred to is archival data - by definition it's
historic and not realtime.
What I do see on https://imdpune.gov.in/lrfindex.php is "Gridded Data Real
Time" -> you might want to explore that.
Over there, Daily 0.5x0.5 grid temp data links are there.
You can select a single date there and download the file.

I don't know right now how to open it, though. imdlib library that I've
used - I didn't see anything about daily data.
Here's its documentation: https://imdlib.readthedocs.io/en/latest/Usage.html

I've posted a query about it in the lib's github :
https://github.com/iamsaswata/imdlib/issues/17 , let's see if the author
responds. Perhaps some inspection of the source code also might yield a way
to open the daily data.

PS: Next time do initiate a separate conversation with a different subject
line - as here you have asked about temperature data but the subject reads
rainfall data. Becomes less discoverable over the open internet or after a
long period of time.

--
Cheers,
Nikhil VJ
https://nikhilvj.co.in


On Thu, Oct 6, 2022 at 11:56 PM Pankaj pandey <pkpner...@gmail.com> wrote:

> Thanks Akshay for sharing the code. Actually I want to download tmax and
> tmin data at 0.5 degree not at 1 degree for 2000 to 2021. As I want to
> dowanload  gridded data  real time Download Daily Maximum Temperature
> data ( 0.5 x 0.5 degree) Binary File (Real-time). In this page only the
> select data option is available. Should i  replace year with data  in code.
> It is requested please modify code for this case
>
> with regards
> p.k.pANDEY
>
>
>
> On Thu, Oct 6, 2022 at 11:30 PM Akshay Kumar <akshay.cg...@gmail.com>
> wrote:
>
>> Dear Sir
>> Pl check this link.
>>
>> https://github.com/Manisht9/imdData
>>
>>
>> On Thu, 6 Oct 2022 at 10:55 PM, Pankaj pandey <pkpner...@gmail.com>
>> wrote:
>>
>>> Dear  Nikhil  how can batch download data,
>>> https://imdpune.gov.in/lrfindex.php. This page give data wise data. how
>>> can download  suppose 20 year data of temperature. Any python code to do
>>> this to bulk download  in csv. Please update any code will very much neede
>>>
>>> With Regards
>>> P.K.Pandey
>>>
>>>
>>> On Thu, Oct 6, 2022 at 7:28 PM Nikhil VJ <nikhil...@gmail.com> wrote:
>>>
>>>> Hi Georgelio, Vastav,
>>>>
>>>> While this link is down:
>>>> https://imdpune.gov.in/Clim_Pred_LRF_New/Grided_Data_Download.html
>>>>
>>>> Upon browsing around the IMD site I found under Climate Monitoring in
>>>> top menu, https://imdpune.gov.in/lrfindex.php
>>>> Side menu: Gridded Data Archive -> All the data is there and available
>>>> just fine.
>>>>
>>>>
>>>> So, taking offline my data dump to save my server's bandwidth.
>>>>
>>>>
>>>> --
>>>> Cheers,
>>>> Nikhil VJ
>>>> https://nikhilvj.co.in
>>>>
>>>>
>>>> On Thu, Oct 6, 2022 at 6:38 PM Nikhil VJ <nikhil...@gmail.com> wrote:
>>>>
>>>>> Wow, Dead Internet Theory vibes 🤐
>>>>>
>>>>> Ok, I've moved all the gridded data file copies that I had at my end
>>>>> to: https://server.nikhilvj.co.in/dump/imd_grid/
>>>>>
>>>>> Disclaimer: they were download from <currently down> source
>>>>> <https://imdpune.gov.in/Clim_Pred_LRF_New/Grided_Data_Download.html>
>>>>> on 13th July 2022, and their sha256 checksums are at:
>>>>>
>>>>> https://github.com/answerquest/IMD-grid-data-work/blob/main/sha256_checksum_rain.txt
>>>>>
>>>>> https://github.com/answerquest/IMD-grid-data-work/blob/main/sha256_checksum_tmax.txt
>>>>>
>>>>> https://github.com/answerquest/IMD-grid-data-work/blob/main/sha256_checksum_tmin.txt
>>>>>
>>>>> Beyond that digital trail, no guarantee on integrity of the data from
>>>>> my side. Use at own risk.
>>>>>
>>>>> This code snippet should help you turn a file into a flat CSV table:
>>>>>
>>>>> import imdlib
>>>>> rain1 = imdlib.open_data('rain', 2010, 2010,
>>>>> 'yearwise').get_xarray().to_dataframe()
>>>>> rain2 = rain1[rain1['rain'] > -100].reset_index()
>>>>> rain2.to_csv('dump.csv',index=False)
>>>>>
>>>>> --
>>>>> Cheers,
>>>>> Nikhil VJ
>>>>> https://nikhilvj.co.in
>>>>>
>>>>>
>>>>> On Thu, Oct 6, 2022 at 10:53 AM Akshay Kumar <akshay.cg...@gmail.com>
>>>>> wrote:
>>>>>
>>>>>>  IMD_CSV.7z
>>>>>> <https://drive.google.com/file/d/1kYrptA1jYDhrAE5OiNQSQQrcpncQaRo_/view?usp=drive_web>
>>>>>>  Clipped_rain_INDIA.7z
>>>>>> <https://drive.google.com/file/d/1JbZmrSJGMK87Ze6X2MPRWkt_SDw2I5TN/view?usp=drive_web>
>>>>>> Hi
>>>>>> Please find the attached shapefiles of the IMD Gridded rainfall
>>>>>> dataset clipped for India for the years 1990 to 2021. Also, I am 
>>>>>> attaching
>>>>>> the csv files of rainfall datasets, which were further used for creating
>>>>>> shapefiles of corresponding years. Please let me know if it solves your
>>>>>> purpose.
>>>>>> You can clip out Himachal from the Indian shapefile.
>>>>>>
>>>>>>
>>>>>>
>>>>>> *Profound RegardsAkshay Kumar*
>>>>>>
>>>>>> *LinkedIn <https://www.linkedin.com/in/akshay-kumar-a68572118/>*
>>>>>> *+91-8198834098*
>>>>>>
>>>>>> P Please don't print this e-mail unless you really need to. Go Green.
>>>>>>
>>>>>> *Every 3000 A4 Size papers costs 1 tree.*
>>>>>>
>>>>>>
>>>>>> On Thu, Oct 6, 2022 at 10:39 AM georg...@gmail.com <
>>>>>> georgel...@gmail.com> wrote:
>>>>>>
>>>>>>> Thank you Nikhil, As Vastav said that link is no longer available.
>>>>>>> Is there any chance that you have collected the data? I want data for
>>>>>>> Himachal from 2000 - 2021
>>>>>>> Thank you
>>>>>>>
>>>>>>> On Thursday, 6 October 2022 at 03:11:55 UTC+5:30
>>>>>>> f201...@hyderabad.bits-pilani.ac.in wrote:
>>>>>>>
>>>>>>>> Hi Nikhil
>>>>>>>> It seems like the link used to get data no longer works. The
>>>>>>>> government has likely made the data inaccessible. Did you download all 
>>>>>>>> the
>>>>>>>> files by any chance? Would it be possible to upload those in google 
>>>>>>>> drive?
>>>>>>>>
>>>>>>>> Thanks
>>>>>>>> Vastav Ratra
>>>>>>>>
>>>>>>>> On Wednesday, October 5, 2022 at 3:58:10 AM UTC+2 nikh...@gmail.com
>>>>>>>> wrote:
>>>>>>>>
>>>>>>>>> Hi Georgelio,
>>>>>>>>>
>>>>>>>>> I was able to extract the rainfall data just fine.
>>>>>>>>> Bit of programming is needed to get rid of junk data, and we need
>>>>>>>>> to work our way thru lot of files for multi-yr. Here is a repo with 
>>>>>>>>> work
>>>>>>>>> done on it.
>>>>>>>>>
>>>>>>>>> https://github.com/answerquest/IMD-grid-data-work
>>>>>>>>>
>>>>>>>>> I made a viz of the data for a location nr my home in Pune, and
>>>>>>>>> the figures appear to corelate with local history (Panshet flood of 
>>>>>>>>> 1962
>>>>>>>>> for example shows up vividly). But I'd really like to know what the
>>>>>>>>> original raw data was using which the gridded data was obtained.
>>>>>>>>>
>>>>>>>>> I've loaded it all into a DB; should be able to get out specific
>>>>>>>>> data needed, let me know if you need for a particular location(s) and 
>>>>>>>>> years
>>>>>>>>> range.
>>>>>>>>>
>>>>>>>>> Is there a use case for uploading a mirror dataset to zenodo or
>>>>>>>>> kaggle or someplace in simpler CSV form? (Big upload so better if 
>>>>>>>>> there is
>>>>>>>>> a demand for it. Or, better if someone from the institution itself 
>>>>>>>>> does
>>>>>>>>> it). I love the multi-dimensional array format they've used, but the 
>>>>>>>>> junk
>>>>>>>>> values undo the storage savings (a .7z of flattened CSV may be 
>>>>>>>>> smaller),
>>>>>>>>> and it's tougher to access for folks not in the know.
>>>>>>>>>
>>>>>>>>> - Nikhil
>>>>>>>>> https://nikhilvj.co.in
>>>>>>>>>
>>>>>>>>> On Tue, Oct 4, 2022, 15:37 georg...@gmail.com <georg...@gmail.com>
>>>>>>>>> wrote:
>>>>>>>>>
>>>>>>>>>> Hello all,
>>>>>>>>>>  Gridded rainfall data for India in IMD is not working. I need
>>>>>>>>>> rainfall data for Himachal from 2010 to 2022.
>>>>>>>>>> Thanks
>>>>>>>>>>
>>>>>>>>>> --
>>>>>>>>>> Datameet is a community of Data Science enthusiasts in India.
>>>>>>>>>> Know more about us by visiting http://datameet.org
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>>>>>>>>>> .
>>>>>>>>>>
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>>>>>> <https://groups.google.com/d/msgid/datameet/CAH9bdtHQuk_uOM%2B0%3Da%2B8pDTPgP4HeNdbU2PaNB%2B2bT8CzAPiiw%40mail.gmail.com?utm_medium=email&utm_source=footer>
>>>>>> .
>>>>>>
>>>>> --
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>>>> .
>>>>
>>>
>>>
>>> --
>>> WITH REGARDS
>>> DR. PANKAJ KUMAR PANDEY
>>>
>>> --
>>> Datameet is a community of Data Science enthusiasts in India. Know more
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>>> .
>>>
>> --
>>
>> *Profound RegardsAkshay Kumar*
>>
>> *LinkedIn <https://www.linkedin.com/in/akshay-kumar-a68572118/>*
>> *+91-8198834098*
>>
>> P Please don't print this e-mail unless you really need to. Go Green.
>> *Every 3000 A4 Size papers costs 1 tree.*
>>
>> --
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>> about us by visiting http://datameet.org
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>> .
>>
>
>
> --
> WITH REGARDS
> DR. PANKAJ KUMAR PANDEY
>
> --
> Datameet is a community of Data Science enthusiasts in India. Know more
> about us by visiting http://datameet.org
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