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First Dive into seaborn Visualization

LineplotLineplot

An example of a lineplot:

To initialize a line plot based on the pandas DataFrame, we need to input at least 3 parameters: x and y (columns-coordinates for the plot) and data (the DataFrame containing the data).

Look at the code below!

Let's solve this problem!

Tarefa

  1. Import the seaborn with sns alias.
  2. Import the matplotlib.pyplot with plt alias.
  3. Import the pandas withpd alias.
  4. Read the file.
  5. Create a lineplot using 'time' column for the x-value and 'level' column for the y-value.
  6. Show the plot.

Tudo estava claro?

Seção 2. Capítulo 5
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course content

Conteúdo do Curso

First Dive into seaborn Visualization

1. Nice to Meet you, seaborn!

Practical ApplicationA Little about seabornCountplotSeaborn + Pandas

2. More and More Plots

Do you Need more Plots?Scatterplot3-variable ScatterplotColors in a 3-variable PlotLineplot3-variable LineplotHistplot

3. Plot Customization

Why do we Need to Customize?Adding the Plot TitleLet's Cope with AxlesDecoration and...Decoration!I'm an Artist, that's how I See it!Final Challenge

First Dive into seaborn Visualization

LineplotLineplot

An example of a lineplot:

To initialize a line plot based on the pandas DataFrame, we need to input at least 3 parameters: x and y (columns-coordinates for the plot) and data (the DataFrame containing the data).

Look at the code below!

Let's solve this problem!

Tarefa

  1. Import the seaborn with sns alias.
  2. Import the matplotlib.pyplot with plt alias.
  3. Import the pandas withpd alias.
  4. Read the file.
  5. Create a lineplot using 'time' column for the x-value and 'level' column for the y-value.
  6. Show the plot.

Tudo estava claro?

Seção 2. Capítulo 5
toggle bottom row
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