A line chart is a type of chart which displays information as a series of data points called 'markers' connected by straight line segments.
A Line chart is often used to visualize a trend in data over intervals of time - a time series - thus the line is often drawn chronologically.
Example:
import matplotlib.pyplot as plt
years = [2014, 2015, 2016, 2017, 2018]
total_populations = [8939007, 8954518, 8960387, 8956741, 8943721]
plt. plot (years, total_populations)
pit. title ("Year vs Population in India")
plt.xlabel ("Year")
pIt.ylabel ("Total Population")
plt.showt ( )
In this program:
Plt.title( ) → specifies title to the graph
Plt.xlabel( ) → specifies label for X-axis
Plt.ylabel( ) → specifies label for Y-axis
Output:

import matplotlib.pyplot as plt
plt.plot([1,2,3,4],[1,4,9,16])
plt.show ( )
Output:
This plot takes many parameters, but the first two here and 'X' and 'Y' coordinates. This means, we have 4 coordinates according to these lists: (1,1), (2,4), (3,9), (4,16)

import matplotlib.pyplot as plt
plt.plot([1,2,3,4])
plt.show ( )
Output:
This window is a matplotlib window, which allows us to see our graph. We can hover the graph and see the coordinates in the bottom right.

(i) Labels ⇾ Specifies labels for the bars.
(ii) Usgae ⇾ Assign values to the labels specified.
(iii) Xticks ⇾ Display the tick marks along the x-axis at the values represented. Then specify the label for each tick mark.
(iv) Range ⇾ Create sequence of numbers.
(v) Show ⇾ Displays the plot

Program:
For example, to plot x versus y, you can issue the command:
import matplotlib. pyplot as plt
pIt.plot([1,2,3,4], [1,4,9,16])
plt.show ( )
Output:

Program:
import matplotlib.pyplot as plt
pIt.plot([1, 2, 3, 4]) ,
plt.show ( )
Output: