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# Plot Customized Line Graph in Python

## What is Line Plot?

Line graph is basically a graph of a line joining the data points. Data points are also known as markers. The graph can be of any shape. For ex. straight line, curve, or any other shape. Line plot is a basic type of chart which is commonly used in many fields. To plot customized line graph in python using matplotlib package, use `plot()` function of matplotlib library.

In this article, I will explain you how to plot customized line graph in python using matplotlib package.

## Installation of Packages

We will need numpy and matplotlib packages to create line chart in python. If you don’t have these packages installed on your system, install it using below commands.

```pip install matplotlib
pip install numpy```

## Parameters for Customization of Line Plot

```plot(x, y)        # plot x and y using default line style and color
plot(x, y, 'bo')  # plot x and y using blue circle markers
plot(y)           # plot y using x as index array 0..N-1
plot(y, 'r+')     # ditto, but with red plusses

representation formats for styling
**Markers**

=============    ===============================
character        description
=============    ===============================
``'.'``          point marker
``','``          pixel marker
``'o'``          circle marker
``'v'``          triangle down marker
``'^'``          triangle up marker
``'<'``          triangle left marker
``'>'``          triangle right marker
``'1'``          tri down marker
``'2'``          tri_up marker
``'3'``          tri_left marker
``'4'``          tri_right marker
``'s'``          square marker
``'p'``          pentagon marker
``'*'``          star marker
``'h'``          hexagon1 marker
``'H'``          hexagon2 marker
``'+'``          plus marker
``'x'``          x marker
``'D'``          diamond marker
``'d'``          thin_diamond marker
``'|'``          vline marker
``'_'``          hline marker
=============    ===============================

**Line Styles**

=============    ===============================
character        description
=============    ===============================
``'-'``          solid line style
``'--'``         dashed line style
``'-.'``         dash-dot line style
``':'``          dotted line style
=============    ===============================

Example format strings::

'b'    # blue markers with default shape
'or'   # red circles
'-g'   # green solid line
'--'   # dashed line with default color
'^k:'  # black triangle_up markers connected by a dotted line

**Colors**

The supported color abbreviations are the single letter codes

=============    ===============================
character        color
=============    ===============================
``'b'``          blue
``'g'``          green
``'r'``          red
``'c'``          cyan
``'m'``          magenta
``'y'``          yellow
``'k'``          black
``'w'``          white
=============    ===============================
We can use any combination of color, markers and styling to the graph. And make the graph customized the way we want.```

## How to Plot Customize Line Style Graph in Python

Let’s see an example to plot line style graph using matplotlib library

### Installation of Packages

We will need numpy and matplotlib packages to show line graph. Install packages using below command.

```pip install matplotlib
pip install numpy```

### Import libraries

Import numpy and matplotlib libraries in our python line graph code to get started with plotting line chart.

```# Import library

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

### Prepare dataset

Create a dataset for x and y axis to plot line chart

• Prepare dataset for x axis
• Create dataset for y axis
```# Create x_axis dataset
x=np.arange(1,5)

# Create y_axis dataset
y=x**5```

### Draw Line chart using Plot()

Use `plt.plot() `function of matplotlib module to draw line graph in python.

• The first argument in plot function defines x axis
• The second argument in plot function defines y axis
• The third argument `kp:` in plot function defines color code and marker. k represents black color, p represents marker style ‘pentagon’ and : represents dotted line style
```# Plot the graph
plt.plot(x,y,'kp:')```

### Set Line Chart Title and Labels

Use matplotlib title and label function to assign title and label for x axis and y axis.

```# Set the title and Labels
plt.title('Line Style Graph in Python')
plt.xlabel('x axis')
plt.ylabel('y axis')```

### Plot Customized Line Graph

Use show() function of matplotlib.pyplot module to plot line graph

`plt.show()`

### Python Line Plot Code

Use below entire Line plot in python code using matplotlib library

```# Import library
import matplotlib.pyplot as plt
import numpy as np

# Create x_axis dataset
x=np.arange(1,5)

# Create y_axis dataset
y=x**5

# Plot the line graph
plt.plot(x,y,'kp:')

# Set the title and Labels
plt.title('Line Style Graph in Python')
plt.xlabel('x axis')
plt.ylabel('y axis')

# Show the Line Graph
plt.show()
```

### Line Style Graph Output

Cool Tip: Learn How to plot bubble chart in python !

## Plot Line Style Graph with Parameter in Python

Let’s see an example to style line graph in Python using matplotlib parameters. In this example, I will explain you how to use dashed line, use marker and custom color for line.

### Installation of Packages

We will require matplotlib.pyplot packages installed on our system to draw line plot. If we don’t have packages installed, we can install packages with the command below.

`pip install matplotlib`

### Import libraries

We will import matplotlib.pyplot libraries to plot line chart.

`import matplotlib.pyplot as plt`

### Prepare dataset and Plot the graph

• The first argument defines list for x axis
• The second argument defines list for y axis
```# Create a dataset of air quality forecast to plot line graph

# Create dataset of days for x-axis

x=['Saturday','Sunday','Monday','Tuesday','Wednesday','Thursday','Friday']

# Create dataset of temperature for y axis

y=[30,31,31,32,33,29,31]```

### Plot customized line graph

Use `plt.plot() `function of matplotlib module to draw line graph.

• The first argument in plot function defines x axis
• The second argument in plot function defines y axis
• The third argument color defines line color as green
• The fourth argument marker defines marker as round
• The fifth argument linestyle defines line style as dashed
`plt.plot(x,y,color='green', marker='o', linestyle='dashed')`

### Set Line Chart Title and Labels

Use matplotlib title and label function to assign title and label for x axis and y axis.

```# Set the title and Labels for 7 days Forecast
plt.title('Line plot for 7 days forecast')
plt.xlabel('Days')
plt.ylabel('Day time Temperature')```

### Show the Line Chart

Use show() function of matplotlib.pyplot module to plot line graph

`plt.show()`

### Line Chart Python Code

Use below Line chart in python matplotlib source code

```# Import library
import matplotlib.pyplot as plt

# Create a dataset of air quality forecast to plot line graph

# Create dataset of days for x-axis

x=['Saturday','Sunday','Monday','Tuesday','Wednesday','Thursday','Friday']

# Create dataset of temperature for y axis

y=[30,31,31,32,33,29,31]

# Plot the line graph
plt.plot(x,y,color='green', marker='o', linestyle='dashed')

# Set the title and Labels for 7 days Forecast
plt.title('Line plot for 7 days forecast')
plt.xlabel('Days')
plt.ylabel('Day time Temperature')

# Show the line graph
plt.show()```

## Multi Line Color Graph in Python

In this matplotlib multiple line chart with python example, I will explain you to plot multiline chart in python and style with different colors.

### Installation of Packages

Follow above givens steps to install required packages and import libraries to get started with plotting multiline chart in python.

```# Import libraries
import matplotlib.pyplot as plt
```

### Prepare Dataset

We will create python multiple line graph

• Create dataset for days variable to use for x axis dataset
• Create dataset for day_temp and night_temp variable to use for y axis
```# Create dataset of days for x-axis
days=['Monday','Tuesday','Wednesday','Thursday','Friday']

# Create dataset of temperature for y axis
day_temp=[31,32,32,32,33]
night_temp=[16,15,14,11,12]```

Cool Tip: Learn How to plot basic area plot in python !

### Plot Multiple Line Chart in Python

Use plot() function of matplotlib module to plot Line chart.

• The first argument define x axis dataset
• The second argument define y axis dataset for days temperature
• The third argument s defines color and style for days temperature
• The fourth argument defines x axis dataset
• The fifth argument defines y axis dataset for night temperature
• The sixth argument defines color and style for night temperature
```# Plot the graph
plt.plot(days,day_temp,'yo-',days,night_temp,'bo-')```

### Set Line Graph Title and Labels

Use matplotlib title and label function to assign title and label for x axis and y axis.

```# Set the title and line graph labels
plt.title('Line Graph for 5 day forecast')
plt.xlabel('Days')
plt.ylabel('Temperature')```

### Show Line Chart

Using  Matplotlib show() function to show the graphical view of Line chart.

`plt.show()`

### Line Chart Python Code

Use below python line plot with dots source code

```# Import library
import matplotlib.pyplot as plt

# Create dataset of days for x-axis
days=['Monday','Tuesday','Wednesday','Thursday','Friday']

# Create dataset of temperature for y axis
day_temp=[31,32,32,32,33]
night_temp=[16,15,14,11,12]

# Plot the graph
plt.plot(days,day_temp,'yo-',days,night_temp,'bo-')

# Set the title and line graph labels
plt.title('Line Graph for 5 day forecast')
plt.xlabel('Days')
plt.ylabel('Temperature')

#show graphics
plt.show()
```

### Line Chart output

Cool Tip: Learn How to plot stacked area plot in python !

## Conclusion

I hope you found above article on how to plot customize Line style graph in python using matplotlib and numpy package informative and educational.

Use `plt.plot()` function of matplotlib module to create line graph.

Use `linestyle and color` argument in plot() function of matplotlib library to plot line chart with dots, color dotted line or dashed line.