The pandas library

The easiest way to store our measurement data instead of numpy.arrays or lists is the DataFrame class of the pandas library. Here, apart from storing the numbers, we can also label the rows and the columns, and we can have a different type in each column.

We can think of a DataFrame as a common Excel table, because the methods that belong to this class are very similar to functions from Excel.

Next, we are going to have a look at the various possibilities of pandas.

1. accessing data, DataFrame class, reading and writing files link
2. simple operations, masking link
3. database 1. (groupby) link
4. statistics and plotting (seaborn) link
5. database 2. (concat, join, apply, pivot) link