﻿ Python Project: Visualize Worldwide Confirmed Novel Coronavirus cases over time - w3resource

# Python Exercise: Visualize Worldwide Confirmed Novel Coronavirus cases over time

## Python Project: COVID-19 Exercise-14 with Solution

Write a Python program to visualize Worldwide Confirmed Novel Coronavirus (COVID-19) cases over time.

Sample Solution:

Python Code:

``````import pandas as pd
import plotly.express as px
import plotly.io as pio
pio.templates.default = "plotly_dark"

grouped = covid_data.groupby('Last Update')['Last Update', 'Confirmed', 'Deaths'].sum().reset_index()
fig = px.line(grouped, x="Last Update", y="Confirmed",
title="Worldwide Confirmed Novel Coronavirus(COVID-19) Cases Over Time")
fig.show()
```
```

Jupyter Notebook:

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## Python: Tips of the Day

F strings:

It is a common practice to add variables inside strings. F strings are by far the coolest way of doing it. To appreciate the f strings more, let's first perform the operation with the format function.

```name = 'Owen'
age = 25
print("{} is {} years old".format(name, age))
```

Output:

```Owen is 25 years old
```

We specify the variables that go inside the curly braces by using the format function at the end. F strings allow for specifying the variables inside the string.

```name = 'Owen'
age = 25
print(f"{name} is {age} years old")
```

Output:

```Owen is 25 years old
```

F strings are easier to follow and type. Moreover, they make the code more readable.

```A, B, C = {2, 4, 6}
print(A, B, C)
A, B, C = ['p', 'q', 'r']
print(A, B, C)
```

Output:

```2 4 6
p q r
```