Conteúdo do Curso
Ultimate Visualization with Python
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:
import matplotlib.pyplot as plt import numpy as np data_linear = np.arange(0, 6) data_squared = data_linear ** 2 # Creating a line plot with specifying x and y plt.plot(data_linear, data_squared, '-o') plt.show()
In fact, this code can even be further simplified. Have a look at another example:
import matplotlib.pyplot as plt import numpy as np data_squared = np.arange(0, 6) ** 2 # Creating a line plot using only one array plt.plot(data_squared, '-o') plt.show()
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
).
Tarefa
- 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.
Obrigado pelo seu feedback!
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:
import matplotlib.pyplot as plt import numpy as np data_linear = np.arange(0, 6) data_squared = data_linear ** 2 # Creating a line plot with specifying x and y plt.plot(data_linear, data_squared, '-o') plt.show()
In fact, this code can even be further simplified. Have a look at another example:
import matplotlib.pyplot as plt import numpy as np data_squared = np.arange(0, 6) ** 2 # Creating a line plot using only one array plt.plot(data_squared, '-o') plt.show()
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
).
Tarefa
- 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.
Obrigado pelo seu feedback!
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:
import matplotlib.pyplot as plt import numpy as np data_linear = np.arange(0, 6) data_squared = data_linear ** 2 # Creating a line plot with specifying x and y plt.plot(data_linear, data_squared, '-o') plt.show()
In fact, this code can even be further simplified. Have a look at another example:
import matplotlib.pyplot as plt import numpy as np data_squared = np.arange(0, 6) ** 2 # Creating a line plot using only one array plt.plot(data_squared, '-o') plt.show()
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
).
Tarefa
- 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.
Obrigado pelo seu feedback!
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:
import matplotlib.pyplot as plt import numpy as np data_linear = np.arange(0, 6) data_squared = data_linear ** 2 # Creating a line plot with specifying x and y plt.plot(data_linear, data_squared, '-o') plt.show()
In fact, this code can even be further simplified. Have a look at another example:
import matplotlib.pyplot as plt import numpy as np data_squared = np.arange(0, 6) ** 2 # Creating a line plot using only one array plt.plot(data_squared, '-o') plt.show()
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
).
Tarefa
- 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.