imddata
Download India Meteorological Department (IMD) gridded rainfall and minimum and maximum temperature data as netCDF files from your terminal.
Installation
$ pip install imddata
Usage
For usage instructions, run
$ imddata --help
example: download maximum temperature data
$ imddata --name tmax --syear 2020 --eyear 2022
$ ls
IMD_tmax_2020.nc
IMD_tmax_2021.nc
IMD_tmax_2022.nc
example: download minimum temperature data
$ imddata --name tmin --syear 2020 --eyear 2022
$ ls
IMD_tmin_2020.nc
IMD_tmin_2021.nc
IMD_tmin_2022.nc
example: download rainfall data
$ imddata --name rain --syear 2020 --eyear 2022
$ ls
IMD_rain_2020.nc
IMD_rain_2021.nc
IMD_rain_2022.nc
Download with a custom filename prefix:
$ imddata --name tmin --syear 2020 --eyear 2022 --filename-prefix tmin_data
$ ls
tmin_data_2020.nc
tmin_data_2021.nc
tmin_data_2022.nc
Metadata
Release files for imddata 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| imddata-0.2.0.tar.gz | 4.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| imddata-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 9.6 kB
Release files / imddata-0.2.0.tar.gz
| Download URL | imddata-0.2.0.tar.gz |
|---|---|
| Size | 4.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
c72d26bf6ce95eaadaea05cdca7033b3616ae70b240a0ffb83f654a72c305ae4
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
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Signed by GitHub Actions, verified by PyPI on Dec 7, 2025.
Transparency logRelease files / imddata-0.2.0-py3-none-any.whl
| Download URL | imddata-0.2.0-py3-none-any.whl |
|---|---|
| Size | 5.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e166ff5e932936feba2e1d997260bbfdfb80741ecd42aa93c3d5bfeb716211be
|
|
BLAKE2b-256 checksum How to use checksums |
f9fa8e47a710bc3ac87054a728726ee4815e49eb9eed5dde76e7230fbedee62b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Dec 7, 2025.
Transparency log