Contenido del Curso

Deep Dive into the seaborn Visualization

1. Light Start

Reading the File Colors

2. Distributions of Data

Histplot Kdeplot Rugplot Ecdfplot Challenge Displot

3. Categorical Plot Types

Stripplot Swarmplot Boxplot Violinplot Barplot Pointplot Challenge Catplot

4. Matrix Plots

Heatmap Clustermap

5. Multi-Plot Grids

FacetGrid PairGrid JointGrid

6. Regression Models

Regplot Lmplot

Heatmap

A heatmap is a plot of rectangular data as a color-encoded matrix. As a parameter, it takes a 2D dataset. That dataset can be coerced into an ndarray.

This is a great way to visualize data because it can show the relation between variables, including time. For instance, the number of flights through the years.

Tarea

Set the 'ticks' style with the 'seagreen' figure.facecolor.
Create the heatmap using the seaborn library:

Add the data for the heatmap. You only need to input the name of the DataFrame (without data = ...);
Set the 'viridis' cmap parameter;
Add the annot parameter;
Set the fmt parameter equals the '0.99g';
Set the linecolor parameter equals the 'plum';
Display the plot.

Tarea

Set the 'ticks' style with the 'seagreen' figure.facecolor.
Create the heatmap using the seaborn library:

Add the data for the heatmap. You only need to input the name of the DataFrame (without data = ...);
Set the 'viridis' cmap parameter;
Add the annot parameter;
Set the fmt parameter equals the '0.99g';
Set the linecolor parameter equals the 'plum';
Display the plot.

¿Todo estuvo claro?

Sección 4. Capítulo 1

Heatmap

A heatmap is a plot of rectangular data as a color-encoded matrix. As a parameter, it takes a 2D dataset. That dataset can be coerced into an ndarray.

This is a great way to visualize data because it can show the relation between variables, including time. For instance, the number of flights through the years.

Tarea

Set the 'ticks' style with the 'seagreen' figure.facecolor.
Create the heatmap using the seaborn library:

Add the data for the heatmap. You only need to input the name of the DataFrame (without data = ...);
Set the 'viridis' cmap parameter;
Add the annot parameter;
Set the fmt parameter equals the '0.99g';
Set the linecolor parameter equals the 'plum';
Display the plot.

Tarea

Set the 'ticks' style with the 'seagreen' figure.facecolor.
Create the heatmap using the seaborn library:

Add the data for the heatmap. You only need to input the name of the DataFrame (without data = ...);
Set the 'viridis' cmap parameter;
Add the annot parameter;
Set the fmt parameter equals the '0.99g';
Set the linecolor parameter equals the 'plum';
Display the plot.

¿Todo estuvo claro?

Sección 4. Capítulo 1

Heatmap

A heatmap is a plot of rectangular data as a color-encoded matrix. As a parameter, it takes a 2D dataset. That dataset can be coerced into an ndarray.

This is a great way to visualize data because it can show the relation between variables, including time. For instance, the number of flights through the years.

Tarea

Set the 'ticks' style with the 'seagreen' figure.facecolor.
Create the heatmap using the seaborn library:

Add the data for the heatmap. You only need to input the name of the DataFrame (without data = ...);
Set the 'viridis' cmap parameter;
Add the annot parameter;
Set the fmt parameter equals the '0.99g';
Set the linecolor parameter equals the 'plum';
Display the plot.

Tarea

Set the 'ticks' style with the 'seagreen' figure.facecolor.
Create the heatmap using the seaborn library:

Add the data for the heatmap. You only need to input the name of the DataFrame (without data = ...);
Set the 'viridis' cmap parameter;
Add the annot parameter;
Set the fmt parameter equals the '0.99g';
Set the linecolor parameter equals the 'plum';
Display the plot.

¿Todo estuvo claro?

A heatmap is a plot of rectangular data as a color-encoded matrix. As a parameter, it takes a 2D dataset. That dataset can be coerced into an ndarray.

This is a great way to visualize data because it can show the relation between variables, including time. For instance, the number of flights through the years.

Tarea

Set the 'ticks' style with the 'seagreen' figure.facecolor.
Create the heatmap using the seaborn library:

Add the data for the heatmap. You only need to input the name of the DataFrame (without data = ...);
Set the 'viridis' cmap parameter;
Add the annot parameter;
Set the fmt parameter equals the '0.99g';
Set the linecolor parameter equals the 'plum';
Display the plot.

Sección 4. Capítulo 1

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