Question

Explain in detail the types of pyplots using Matplotlib.

Answer 1

Matplotlib allows us to create different kinds of plots ranging from histograms and scatter plots to bar graphs and bar charts.

Line Chart:

• A-Line Chart or Line Graph is a type of chart that 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.

Program for Line plot:
import matplotlib.pyplot as pit years = [2014, 2015, 2016, 2017, 2018] total_populations = [8939007, 8954518,, 8960387,8956741,8943721]
plt. plot (“years, total_populations)
plt. title (“Year vs Population in India”)
plt.xlabel (“Year”)
plt.ylabel (“Total Population”)
plt.showt

In this program,
Plt.titlet() →→7 specifies title to the graph
Plt.xlabelt) →→ specifies label for X-axis
Plt.ylabelO →→ specifies label for Y-axis
Output:

Bar Chart:

• A BarPlot (or Bar Chart) is one of. the most common type of plot. It shows the relationship between a numerical variable and a categorical variable.
• The bar chart represents categorical data with rectangular bars. Each bar has a height that corresponds to the value it represents.
• The bars can be plotted vertically or horizontally.
• It is useful when we want to compare a given numeric value on different categories.
• To make a bar chart with Matplotlib, we can use the plt.bart) function.

Program:
import matplotlib.pyplot as pit
# Our data
labels = [“TAMIL”, “ENGLISH”, “MATHS”, “PHYSICS”, “CHEMISTRY”, “CS”]
usage = [79.8,67.3,77.8,68.4,70.2,88.5]
# Generating the y positions. Later, we’ll use them to replace them with labels. y_positions = range (len(labels))
# Creating our bar plot
plt.bar (y_positions, usage)
plt.xticks (y_positions, labels)
plt.ylabel (“RANGE”)
pit.title (“MARKS”)
plt.show()
Output:

Pie Chart:

• Pie Chart is probably one of the most common types of charts.
• It is a circular graphic that is divided into slices to illustrate numerical proportion.
• The point of a pie chart is to show the relationship of parts out of a whole.
• To make a Pie Chart with Matplotlib, we can use the plt.pie () function.
• The autopct parameter allows us to display the percentage value using the Python string formatting.

Program:
import matplotlib.pyplot as pit
sizes = [89, 80, 90,100, 75]
labels = [“Tamil”, “English”, “Maths”,
“Science”, “Social”]
plt.pie (sizes, labels = labels,
autopct = “%.2f”)
plt.axesfj.set aspect (“equal”)
plt.showt()
Output: