From the course: pandas Essential Training
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DataFrames
- [Narrator] A dataframe is like a two dimensional area. You can think of a dataframe as being like a table or a spreadsheet with rows and columns. You can see from our Olympics data set that the dataframe is made up of several columns such as the city, the addition, and sport. And each entry, or row, corresponds to a medal that an athlete has won. This is all there is to a dataframe. Let's head over to the Jupiter notebook to understand a little bit more about dataframes. The first thing we'll need to do in our notebook, is to import pandas. Inport pandas as pd. Now we will make more sense of these next few lines in the read csv video, so don't worry to much about them. Basically what we are doing here is we are reading the csv file into a dataframe called oo, so let's run that. In order to view the dataframe, we enter the dataframes name which is oo and run that cell. The Jupiter notebook will display the first 30 rows and the last 30 rows. And we can see that in this dataframe, we…
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