From the course: pandas Essential Training
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Using info() - pandas Tutorial
From the course: pandas Essential Training
Using info()
- [Instructor] Info provides a summary of the data frame including the number of entries, the data type, and the number of non-null entries for each series in the data frame. This is important because often when working with a real data set, there will be missing data. You want a view of this to determine how you will handle this missing data. Let's head back to the Jupyter notebook. So I enter the name of the data frame. We can see that we do not have any missing data in this data set. There are 29,216 entries, and none of them are non-null. What is also useful about the info method is that it also gives you the data types for the different series of columns. This is useful when you have to do any comparisons or queries. So for example, if you are querying what is a string, then you will know that you have to use quotes, and if you are using a comparison for an integer or a float value, then you won't need to use those quotes. In the next video, we will learn how to use Pandas to do…
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