Python Practical $2$: Plotting a trend graph in Python

A trend Graph is a graph that is used to show the trends data over a period of time.

It describes a functional representation of two variables $($x $,$ y$).$

In which the x is the time$-$dependent variable whereas y is the collected data.

The graph can be in shown any form that can be via line chart, Histograms, scatter plot, bar chart, and pie$-$chart.

In python, we can plot these trend graphs by using matplotlib.pyplot library.

It is used for plotting a figure for the given data.

Using the below Examples, generate the appropriate Output & Graph:

import numpy as np

import pandas as pd

import matplotlib.pyplot as plt

#create a dataframe

Sports $=\{$

"medals": $[100,92,102,56,78,56,78,96]$

"Time$\_$Period": $[2010,2011,2012,2013,2014,2015,2016,2017]$

$\}$

df $=$ pd$.$DataFrame$($Sports$)$

print$($df$)$

#to plot the graph

df$.$plot$($x$=$"Time$\_$Period", y$=$"medals", kind$=$"line"$)$

Practice $2$: Using the above data plot the scatter and bar graph.