# Comparing The First and Second Wave Of COVID-19 in Italy Through Python Pandas

In this tutorial I implement the code to compare some measurements related to the first and second waves in Italy.

In this tutorial I implement the code to compare some measurements related to the first and second waves in Italy. In my previous post, I dealt with the ratio between the number of total cases and number of swabs. In this post, I consider the following types of measurements:

• number of deaths
• number of patients admitted to the intensive care
• number of number of hospitalized. I exploit the Python `pandas` library. The code is very simple and reusable thus it can be easily adapted to data related to other Countries.

Every measurement is analysed from two perspectives:

• cumulative measure — the measure related to a given day is the sum of all the measurements of the previous days plus the measurement of the current day.
• daily measure — the measure related to a given day is given only by the measurement of the previous day.

In addition, for each measurement, I provide the code to compare data related to the first wave with data related to the second wave. I set the 2020, July 31st as the splitting date between the first and second wave.

All the code described in this tutorial is available in my Github repository.

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