human
Solve the following python programming problem given the following code:
# Lat and Lon coordinates extracted from the map above 
pixel_lat = 11.3972
pixel_lon = 105.3528

pixel = combined_dataset.sel(latitude  = pixel_lat,
                             longitude = pixel_lon,
                              method = 'nearest') # nearest neighbor selection  

import xarray as xr
import csv

def ts_pixel_to_csv(pixel: xr.Dataset,
                    csv_file_name: str):
    def __yield_from_time_axis(px):
        for i in range(len(px.time)):
            yield px.isel(time = i)
    def __format_time(t):
        return t
    
    with open(csv_file_name,'w') as out:
        csv_out=csv.writer(out)
        column_names = ['time'] + list(pixel.data_vars)
        csv_out.writerow(column_names)

        for row in __yield_from_time_axis(pixel):
            csv_out.writerow([__format_time(row.time.values)] + [row[key].values for key in list(pixel.data_vars)])

csv_name = 'test.csv'

ts_pixel_to_csv(pixel, csv_name)
Given the above code, generate some markdown instructions for it.
assistant
#Here is the Python code you requested.

Export CSV
This section will be used to create a CSV export file for a given pixel. You will identify the pixel by selecting a specific Lat-Lon position and then the code will find the closest pixel to that point (nearest neighbor). Use the map at the top of this notebook to view your region and pick a Lat-Lon location. You can find an exact location by clicking on the map. The CSV file will contain the time series data for each XARRAY parameter.