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I have a grid point shapefile. I want to select N number of samples from those set of grid points. I tried pd.DataFrame.sample() but as we know it selects samples randomly. Is there any way I can select samples across those grid points uniformly?

I am using geopandas to read the shapefile. Below is pictorial representation of the task.(Not necessarily 1 step skip, it can be any but it should be uniform)

Edit: I need to select points such that deviation of distance between selected points is minimum to get a proper representation of whole area.

Below is a example I want sample ~40 points.

Total Grid points:

Bad Sampling:

Good Sampling:

I have a grid point shapefile. I want to select N number of samples from those set of grid points. I tried pd.DataFrame.sample() but as we know it selects samples randomly. Is there any way I can select samples across those grid points uniformly?

I am using geopandas to read the shapefile. Below is pictorial representation of the task.(Not necessarily 1 step skip, it can be any but it should be uniform)

Edit: I need to select points such that deviation of distance between selected points is minimum to get a proper representation of whole area.

Below is a example I want to sample ~40 points.

Total Grid points:

Bad Sampling:

Good Sampling:

I have a grid point shapefile. I want to select N number of samples from those set of grid points. I tried pd.DataFrame.sample() but as we know it selects samples randomly. Is there any way I can select samples across those grid points uniformly?

I am using geopandas to read the shapefile. Below is pictorial representation of the task.(Not necessarily 1 step skip, it can be any but it should be uniform)

Edit: I need to select points such that deviation of distance between selected points is minimum to get a proper representation of whole area.

I have a grid point shapefile. I want to select N number of samples from those set of grid points. I tried pd.DataFrame.sample() but as we know it selects samples randomly. Is there any way I can select samples across those grid points uniformly?

I am using geopandas to read the shapefile. Below is pictorial representation of the task.(Not necessarily 1 step skip, it can be any but it should be uniform)

Edit: I need to select points such that deviation of distance between selected points is minimum to get a proper representation of whole area.

Below is a example I want sample ~40 points.

Total Grid points:

Bad Sampling:

Good Sampling:

I have a grid point shapefile. I want to select N number of samples from those set of grid points. I tried pd.DataFrame.sample() but as we know it selects samples randomly. Is there any way I can select samples across those grid points uniformly?

I am using geopandas to read the shapefile. Below is pictorial representation of the task.(Not necessarily 1 step skip, it can be any but it should be uniform)

Edit: I need to select points such that deviation of distance between two selected points is minimum to get a proper representation of whole area.

I have a grid point shapefile. I want to select N number of samples from those set of grid points. I tried pd.DataFrame.sample() but as we know it selects samples randomly. Is there any way I can select samples across those grid points uniformly?

I am using geopandas to read the shapefile. Below is pictorial representation of the task.(Not necessarily 1 step skip, it can be any but it should be uniform)

Edit: I need to select points such that deviation of distance between selected points is minimum to get a proper representation of whole area.