Line Plot
Congratulations on completing the first section! Since you have already created a plot with a single point on it, it's time to create a line plot.
Applications
Line plot is used to depict the relationship between two variables (e.g. x, y) using straight lines. More formally, it shows the relationship between continuous or ordinal variables in a continuous data point manner. Moreover, it can show how a certain variable changes with time.
Creating a Line Plot
We'll use a function from pyplot
that we're already familiar with to create line plots: plot()
. Let’s have a look at an example of a line plot which shows a quadratic relationship between two variables:
Code Description
import matplotlib.pyplot as plt
import numpy as np
First, we import
pyplot
with plt
alias and numpy
with np
alias.
data_linear = np.arange(0, 6)
Then comes a more interesting part where we create a
numpy
array with numbers from 0 to 5 inclusive using np.arange()
function.
data_squared = data_linear ** 2
Next, using
numpy
broadcasting (vectorization), we square every element of the previously created data_linear
array.
plt.plot(data_linear, data_squared, '-o')
To create a line plot, we use
data_linear
for x-values and data_squared
for y-values. We format the plot with '-o'
, where '-' signifies solid lines ('-' is the default value) and 'o' represents markers. '--o'
, for example, will create dashed lines with markers.
plt.show()
Finally, we display the line plot.
In fact, this code can even be further simplified. Have a look at another example:
Here we only used one array data_squared
for plotting. But how does matplotlib
understand which values are used for x-axis and y-axis?
Note
If only one array (pandas
Series
object) is specified, its indices will be used for x-axis and values for y-axis.
The indices in this example are numbers from 0
to 5
including (just integer indices of a usual array of size 6
).
Tarea
- Use the correct function for creating a line plot.
- Pass in the correct order
x_data
(x-axis) andy_data
(y-axis) as the first two arguments. - Pass the rightmost argument such that the plot will have
'o'
markers and dashed lines.
¿Todo estuvo claro?
Contenido del Curso
Ultimate Visualization with Python
1. Matplotlib Introduction
2. Creating Commonly Used Plots
5. Plotting with Seaborn
Ultimate Visualization with Python
Line Plot
Congratulations on completing the first section! Since you have already created a plot with a single point on it, it's time to create a line plot.
Applications
Line plot is used to depict the relationship between two variables (e.g. x, y) using straight lines. More formally, it shows the relationship between continuous or ordinal variables in a continuous data point manner. Moreover, it can show how a certain variable changes with time.
Creating a Line Plot
We'll use a function from pyplot
that we're already familiar with to create line plots: plot()
. Let’s have a look at an example of a line plot which shows a quadratic relationship between two variables:
Code Description
import matplotlib.pyplot as plt
import numpy as np
First, we import
pyplot
with plt
alias and numpy
with np
alias.
data_linear = np.arange(0, 6)
Then comes a more interesting part where we create a
numpy
array with numbers from 0 to 5 inclusive using np.arange()
function.
data_squared = data_linear ** 2
Next, using
numpy
broadcasting (vectorization), we square every element of the previously created data_linear
array.
plt.plot(data_linear, data_squared, '-o')
To create a line plot, we use
data_linear
for x-values and data_squared
for y-values. We format the plot with '-o'
, where '-' signifies solid lines ('-' is the default value) and 'o' represents markers. '--o'
, for example, will create dashed lines with markers.
plt.show()
Finally, we display the line plot.
In fact, this code can even be further simplified. Have a look at another example:
Here we only used one array data_squared
for plotting. But how does matplotlib
understand which values are used for x-axis and y-axis?
Note
If only one array (pandas
Series
object) is specified, its indices will be used for x-axis and values for y-axis.
The indices in this example are numbers from 0
to 5
including (just integer indices of a usual array of size 6
).
Tarea
- Use the correct function for creating a line plot.
- Pass in the correct order
x_data
(x-axis) andy_data
(y-axis) as the first two arguments. - Pass the rightmost argument such that the plot will have
'o'
markers and dashed lines.
¿Todo estuvo claro?