- Arithmetic Mean method
- Inverse Distance.W-Method
| # | File_Names | Descriptions |
|---|---|---|
| * | Arithmetic_Mean | This is A python script that creates a graphical user interface (GUI) for filling missing values in a Rainfall dataset using the Arithmetic Mean method. |
| 1 | Arithmetic_IDW | This is A python script that creates a graphical user interface (GUI) for filling missing values in a Rainfall dataset using the Arithmetic Mean and IDW method. |
Important notes:
This code can work for any temporal, and you can have many stations as you want.
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Your data (txt & csv only) must be arranged vertically (column wise)
- All the first row of your data is considered as the name of the station default
- Any Missed and non-filled cells below the first row is considered as missed value.
- After filled, the script aouthomatically create the folder named as "filled",
- And save the result in the same destination of loaded file.
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In IDW-Method:
- The coordinates of each station should be arranged as follows:
- The Data you loaded and the coordinate you loaded must have the same station name
- Otherwise, the first cell is considered as the first station name.
- The first column must be station name
- The second and third columns must be X and Y coordinate respectivly.
- The Data you loaded and the coordinate you loaded must have the same station name
- The coordinates of each station should be arranged as follows:
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Examples of data and cordinate arrangment:
Station_Name X-cordinate Y-cordinate Station-A 38.123 7.523 Station-B 37.235 8.838 Station-C 36.425 6.987 Station-D 38.257 7.854 Station-A Station-B Station-C Station-D 0.53 0.35 3.25 0.87 0.62 0.25 0.36 0.80 0.98 0.35 0.28 5.50 4.25 0.68 0.25 0.35 0.87 0.35 Getting Started
To use the code, you'll need to:
- Clone this repository to your local machine.