﻿ Python Project: List countries with all cases of Novel Coronavirus recovered - w3resource

# Python Exercise: List countries with all cases of Novel Coronavirus recovered

## Python Project: COVID-19 Exercise-8 with Solution

Write a Python program to list countries with all cases of Novel Coronavirus (COVID-19) recovered.

Sample Solution:

Python Code:

``````import pandas as pd
data = covid_data.groupby('Country/Region')['Confirmed', 'Deaths', 'Recovered'].sum().reset_index()
result = data[data['Confirmed']==data['Recovered']]
result = result[['Country/Region', 'Confirmed', 'Recovered']]
result = result.sort_values('Confirmed', ascending=False)
result = result[result['Confirmed']>0]
result = result.reset_index(drop=True)
print(result)
```
```

Sample Output:

```Dataset information:
<class 'pandas.core.frame.DataFrame'>
Country/Region  Confirmed  Recovered
0          Nepal          1          1
```

Python Code Editor:

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## Python: Tips of the Day

Decompose a collection:

Assume we have a function that returns a tuple of two values and we want to assign each value to a separate variable. One way is to use indexing as below:

```abc = (5, 10)
x = abc
y = abc
print(x, y)
```

Output:

```5 10
```

There is a better option that allows us to do the same operation in one line.

```x, y = abc
print(x, y)

```

Output:

```5 10
```

It can be extended to a tuple with more than 2 values or some other data structures such as lists or sets.

```x, y, z = {1, 2, 3}
print(x, y, z)
x, y, z = ['a', 'b', 'c']
print(x, y, z)
```

Output:

```1 2 3
a b c
```