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Ultimate Visualization with Python
course content

Contenido del Curso

Ultimate Visualization with Python

Ultimate Visualization with Python

1. Matplotlib Introduction
Plotting ApplicationsWhy Use Matplotlib?Creating a CanvasBasic Plotting
2. Creating Commonly Used Plots
Line PlotMultiple Line PlotsScatter PlotBar ChartStacked Bar ChartsGrouped Bar Charts
3. Plots Customization
Adding Title to the PlotAdding LegendAxes CustomizationColors and Transparency Customizing GridSubplots
4. More Statistical Plots
HistogramBox PlotPie Chart
5. Plotting with Seaborn
Seaborn IntroductionCountplotPlots DecorationKDE PlotJoint PlotPair PlotHeatmap

bookLine 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:


              
1234567

            
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()
copy

In fact, this code can even be further simplified. Have a look at another example:


              
123456

            
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()
copy

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

  1. Use the correct function for creating a line plot.
  2. Pass in the correct order x_data (x-axis) and y_data (y-axis) as the first two arguments.
  3. Pass the rightmost argument such that the plot will have 'o' markers and dashed lines.

Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

Sección 2. Capítulo 1
toggle bottom row

bookLine 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:


              
1234567

            
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()
copy

In fact, this code can even be further simplified. Have a look at another example:


              
123456

            
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()
copy

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

  1. Use the correct function for creating a line plot.
  2. Pass in the correct order x_data (x-axis) and y_data (y-axis) as the first two arguments.
  3. Pass the rightmost argument such that the plot will have 'o' markers and dashed lines.

Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

Sección 2. Capítulo 1
toggle bottom row

bookLine 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:


              
1234567

            
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()
copy

In fact, this code can even be further simplified. Have a look at another example:


              
123456

            
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()
copy

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

  1. Use the correct function for creating a line plot.
  2. Pass in the correct order x_data (x-axis) and y_data (y-axis) as the first two arguments.
  3. Pass the rightmost argument such that the plot will have 'o' markers and dashed lines.

Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

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:


              
1234567

            
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()
copy

In fact, this code can even be further simplified. Have a look at another example:


              
123456

            
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()
copy

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

  1. Use the correct function for creating a line plot.
  2. Pass in the correct order x_data (x-axis) and y_data (y-axis) as the first two arguments.
  3. Pass the rightmost argument such that the plot will have 'o' markers and dashed lines.

Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
Sección 2. Capítulo 1
Switch to desktopCambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
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