Data visualization
Meaning
➔
It
is
the
representation
of
data
and
information
in
a
graphical
or
pictorial
form
such
as
charts
,graphs
,
maps and images
➔
The
data
in
python
is
visualized
using
the
‘
matplotlib
‘
library
which
is
used
to
form
the
charts
like
line
,
bar , scatter etc
Advantages
1.
Improved understanding
2.
Better decision making
3.
Increased efficiency
4.
Improved communication
5.
Enhanced collaboration
Steps
1.
Generating the data
2.
Importing the used library
3.
Creating the visualization
4.
Customizing visualization
5.
Saving or displaying visualizations
Type of visualization in matplotlib
1.
Line chart
2.
Bar chart
3.
Histogram
4.
Scatter plots
5.
Pie charts
6.
Box plots
7.
3d plots
Steps to plot a simple line graph
1.
Import mathplotlib library called as as plt
2.
Prepare
the
data
to
be
plotted
,
it
is
done
by
creating
2
arrays , 1 as x axis and other as y axis
3.
Call
the
plot
function
from
the
matplotlib
library
and
pass it to x and y data
4.
Add the title to the plot using the title function
5.
Add
labels
to
the
x
and
y
axis
using
x
label
and
y
label
function
6.
Show the plot using the show function
7.
The
plot
will
be
displayed
in
a
new
window
we
can
save the plot using the save fig fun
Eg -
Import matplotlib.pyplot as plt
X = [ 1 , 2 ,3 , 4 , 5 ]
Y = [ 1,4,9,16,25 ]
Plt.plot ( x , y )
Plt.title ( “ simple line graph “ )
Plt . xlable ( “ numbers “)
Plt.ylabel ( “ square “ )
plt.show()
Plt.savefig ( “ graph. Png “ )
Important methods of mathplotlib
Method
1.
Plot
2.
Scatter
3.
Hist
4.
Bar
5.
Pie
6.
Title
7.
Xlabel
Description
➔
To
plot
data
on
the
graph
➔
It
is
used
to
create
a scatter plot
➔
To
create
a
histogram
➔
To
create
a
bar
Example
Plt.plot ( x ,y )
Plt.scatter
(
x
, y )
Plt.hist
(
data
)
Plt.bar(
x
,height)
8.
Ylabel
9.
Xlim
10.
Ylim
11.
Xsticks
12.
Ystic
ks
graph
➔
To
create
a
pie
chart
➔
To
give
the
title
to
the graph
➔
Used
to
label
the
x
axis
➔
Used
to
label
the
y
axis
➔
Used
to
set
limit
for
the x axis
➔
Used
to
set
limit
for
the y axis
➔
Used
to
et
tick
mark
on x axis
➔
Used
to
set
tick
mark on y axis
Plt.pie
(
sizes
)
Plt.
title
(
“
ng
“ )
Plt.xlabel
(“abc “ )
Plt.ylabel
(
“
qwr “ )
Plt.xlim ( 0, 10)
Plt.ylim
(
0
,
100 )
Plt.xticks
(
range
,
0
,
11
,1
)
Playsticks
(
range
,
0
,
10
,
2
)
