﻿ Python Project: Visualize the state/province wise Active cases of Novel Coronavirus in USA - w3resource

# Python Exercise: Visualize the state/province wise Active cases of Novel Coronavirus in USA

## Python Project: COVID-19 Exercise-12 with Solution

Write a Python program to visualize the state/province wise Active cases of Novel Coronavirus (COVID-19) in USA.

Sample Solution:

Python Code:

``````import pandas as pd
import plotly.express as px

covid_data['Active'] = covid_data['Confirmed'] - covid_data['Deaths'] - covid_data['Recovered']
us_data = covid_data[covid_data['Country/Region']=='US'].drop(['Country/Region','Latitude', 'Longitude'], axis=1)
us_data = us_data[us_data.sum(axis = 1) > 0]

us_data = us_data.groupby(['Province/State'])['Active'].sum().reset_index()
us_data_death = us_data[us_data['Active'] > 0]
state_fig = px.bar(us_data_death, x='Province/State', y='Active', title='State wise recovery cases of COVID-19 in USA', text='Active')
state_fig.show()
```
```

Jupyter Notebook:

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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[0]
y = abc[1]
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
```