#    
## Overview
**Line colors** in the Matplotlib library are used to beautify, differentiate, or give varying color presentations for plots in a single program.

In Matplotlib, colors are represented using short codes. Below are some of the various colors in Matplotlib library with their corresponding codes.


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## How to use colors in a plot
The steps to take when using a specified color for a line of a plot are listed below:
1. Import the various modules and libraries you need for the plot: the Matplotlib library ``matplot``, ``numpy``, ``pyplot``. 
2. Create your data set(s) to be plotted. 
3. In the ``plot()`` method, after declaring the ``color`` parameter, assign it to a color name in full, or you can simply use the code. Take a look at this code below:

   Using the full color name:
   ```python
   Pyplot.plot(x, y, color='red')
   ``` 
   Using the color code:
   ```python
   Pyplot.plot(x, y, colour='r')
   ``` 
   Use whichever one from the above is correct for your situation.

4. Finally, use the ``show()`` method to show your plot.

## Example 1: Using the color names
Now, let's use this to create a program with subplots of different colors using the color names.

import matplotlib.pyplot as plt
x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]

fig,axs = plt.subplots(2,2)

# using blue color
axs[0,0].scatter(x, y, color = 'blue')
axs[0,0].set_title('blue colour' )

# using the red color
axs[0,1].scatter(x, y, color = 'red')
axs[0,1].set_title('red colour' )

# using the devault yellow color
axs[1,0].scatter(x, y, color = 'yellow')
axs[1,0].set_title('yellow colour' )

# using the black color
axs[1,1].scatter(x, y, color = 'black')
axs[1,1].set_title('black colour' )


plt.tight_layout()
plt.show()

## Example 2: Using the color codes
Now, let's use this to create a program with subplots of different colors using the color codes.

import matplotlib.pyplot as plt
x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]

fig,axs = plt.subplots(2,2)

# using blue color
axs[0,0].scatter(x, y, color = 'b')
axs[0,0].set_title('blue colour' )

# using the red color
axs[0,1].scatter(x, y, color = 'r')
axs[0,1].set_title('red colour' )

# using the  yellow color
axs[1,0].scatter(x, y, color = 'y')
axs[1,0].set_title('yellow colour' )

# using the black color
axs[1,1].scatter(x, y, color = 'k')
axs[1,1].set_title('black colour' )


plt.tight_layout()
plt.show()

>Note: Use the word ``color`` and not ``colour`` when writing the code. Also, the parameter,  ``color``, can be in their hexadecimal color values. For example, ``#4CAF50`` for ``green``.

How to change line colors in Matplotlib

Line colors in Matplotlib can be set using full names, short codes, or hexadecimal values.

Color	Code
red	`r`
blue	`b`
yellow	`y`
white	`w`
cyan	`c`
black	`k`
green	`g`