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dear friends we are going to look into how you can use a replace method to deal with missing data in python pandas now I have a weather data for New York City here where I have temperature wind speed and events based on specific days okay and as you can notice I have some special values here - 9 9 9 9 now what this special value means is the data is missing but it happens to be that instead of these values being blank they are the spatial values okay and this will happen a lot when youre downloading data from internet or whatever is your source you will notice these spatial values and while doing data analytics you have to deal with them ok so we will see how we can handle these now first thing we are going to do is launch a chip it or not book Im going to use Jupiter not book to write my code you can use py charm or whatever IDE is of your choice ok and Im going to start my new not book here and as usual the first thing is to import pandas module Im also going to use numpy model