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Given the following text description, write Python code to implement the functionality described below step by step
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Description:
 <a href="http
Step1:  Known coordinates of rectangle
Step2:  Define the area inside x and y coordinates
Step3:  Define boundaries as CLOSED
Step4:  Make a new elevation field for display
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Python Code:
from landlab import RasterModelGrid
import numpy as np
from landlab.plot.imshow import imshow_grid_at_node
from matplotlib.pyplot import show
%matplotlib inline
mg = RasterModelGrid((10, 10))
Explanation: <a href="http://landlab.github.io"><img style="float: left" src="../../landlab_header.png"></a>
Setting Boundary Conditions: interior rectangle
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<small>For more Landlab tutorials, click here: <a href="https://landlab.readthedocs.io/en/latest/user_guide/tutorials.html">https://landlab.readthedocs.io/en/latest/user_guide/tutorials.html</a></small>
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This tutorial illustrates how to modify the boundary conditions of an interior rectangle in the grid if you know the x and y coordinates of the rectangle.
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min_x = 2.5
max_x = 5.
min_y = 3.5
max_y = 7.5
Explanation: Known coordinates of rectangle:
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x_condition = np.logical_and(mg.x_of_node < max_x, mg.x_of_node > min_x)
y_condition = np.logical_and(mg.y_of_node < max_y, mg.y_of_node > min_y)
my_nodes = np.logical_and(x_condition, y_condition)
Explanation: Define the area inside x and y coordinates:
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mg.status_at_node[my_nodes] = mg.BC_NODE_IS_CLOSED
Explanation: Define boundaries as CLOSED:
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z = mg.add_zeros('topographic__elevation', at='node')
imshow_grid_at_node(mg, z)
Explanation: Make a new elevation field for display:
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