Follow these steps using Python:

1. Install the necessary libraries:

````

pip install pandas

```

2. Import the required libraries:

````python

import pandas as pd

```

3. Load the data: Assuming you have your MSWEP precipitation data in a CSV file, you can load it into a pandas dataframe using the `read_csv()` function. Provide the path to your CSV file as the argument:

````python

data = pd.read_csv("path/to/your/mswep_data.csv")

```

4. Subset the data for Indonesia: assume you want to subset the data for a latitude range of -11 to 6 and a longitude range of 95 to 141:

````python

indonesia_data = data[(data['latitude'] >= -11) & (data['latitude'] = 95) & (data['longitude']

@mohammadimam

I forgot to mention.. its in .nc file.. and i have hundres file of it to be openned in 1 folder..

I have tried what you suggested.. i doesn't work..

Ratih Prasetya

Are all the .nc files structured identically? if so, would you be able to provide the columns/layout?

To approach this problem, I would suggest creating a master table so that you can subset from this as needs be. This can be done using the concat(£ method if the columns are all referring to the same data but just stored across different tables. Without knowing your layout though.

The subsetting in pandas is easy, but I prefer SQL as it’s more intuitiv. You can also run this inside Python but I will have to check with package when working tomorrow if you are interested.

Feel free to inbox a sample and I’d be happy to help