# Introduction 
* **Matplotlib** is a graph-plotting, Python library that acts as a visualization library for the data.  
* It is an `open-source` library and is free to use for all types of metadata.  
* `Matplotlib` library is mostly used in Python, however, a few segments are written in C, C++, and JavaScript.  

# Installation of the Matplotlib Library  
If you have `python` and `pip!` installed on your desktop, then you can install the Matplotlib library with ease.  
Install the library using the command:  
```sh
pip install matplotlib  
```

Once matplotlib is installed, you can import it in your executed or compiler using the following command:  
```
import matplotlib
```
Now, matplotlib is `imported` and is ready to use. 
 
To check the `version` of your `matplotlib library`, use the following command:  
```sh
print(matplotlib.__version__)
```  

# Pyplot  
**Pyplot** is a sub-module of matplotlib that is imported simultaneously with matplotlib. Usually, it is imported as `plt`:  
```
import matplotlib.pyplot as plt
```  
Now ,the `pyplot` package can be referred as `plt`.  

**Example**  
Let's plot a graph using the `matplotlib` and `pyplot` package:  



import matplotlib
import matplotlib.pyplot as plt
import numpy as np

xpoints=np.array([0,5])
ypoints=np.array([0,200])

plt.plot(xpoints,ypoints)
plt.show


## Plotting on the graph  
* The `plot()` function is used to draw points(`markers`) on the graph.
* By default, the `plot` function draws a line from one point to the another.
* This function takes `parameters` for specifying points in the graph. 
* Two parameters are required, i.e., two arrays consisting of points for x-axis and y-axis.  



#Positioning (2,4) and (10,10) on the graph
import matplotlib.pyplot as plt
import numpy as np

xpoints = np.array([2, 10])
ypoints = np.array([4, 10])

plt.plot(xpoints, ypoints)
plt.show()

 
## Plotting without line
In order to plot a graph without a line: 
* You only plot the points, also known as markers, on the plane.
* This can be done using #key# string rotation parameters: they are basically dots #key# (also notated as "o"). 
 

#plotting two points on graph without joining
#let us take any two random points on the plane say (2,5) and (9,9)
import matplotlib.pyplot as plt
import numpy as np

xpoints = np.array([2, 9])
ypoints = np.array([5, 9])

plt.plot(xpoints, ypoints, 'o')
plt.show()

 
**Various types of markers**  

| Marker  | Description  |
| - | - |
| o  | Dots  |
| d  | Diamonds  |
| *  | Stars  |
| s  | Squares  |
| p  | Pentagon  |
| v  | Triangles  |
| ,  | Pixels  |
| .  | Points  |
| h  | Hexagon  |  
These are some of the markers used. There are many more though.  


#marking points on y-axis using the marker star.
import matplotlib.pyplot as plt
import numpy as np

ypoints = np.array([2, 4, 1, 8])

plt.plot(ypoints, marker = '*')
plt.show()



## Marker size
You can also adjust the size of the markers with the `ms` command.  
Let's use the same example from above:  


#marking points on y-axis using the marker star.
import matplotlib.pyplot as plt
import numpy as np

ypoints = np.array([2, 4, 1, 8])

plt.plot(ypoints, marker = '*',ms = 20)
plt.show()



Similarly, you can also change the marker outline and inside color using the `mec` and `mfc` commands.















How to customize matplotlib plots in Python

Matplotlib, a Python library, enables data visualization. Install using pip, import pyplot, and customize plots with various markers and sizes.

Marker	Description
o	Dots
d	Diamonds
*	Stars
s	Squares
p	Pentagon
v	Triangles
,	Pixels
.	Points
h	Hexagon