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course content

Зміст курсу

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

3-variable Lineplot3-variable Lineplot

With the help of the seaborn, we can view the dynamics of the population, for example, relative to each season during 10 years by adding the third variable to our lineplot.

To initialize a lineplot based on the pandas DataFrame, you need to input at least 4 parameters: x y (columns-markers for the plot), hue (the third variable), and data (the DataFrame containing the data).

Look at the code below!

Завдання

  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 using df variable.
  5. Create a 3-variable lineplot using 'year' column for the x-value and 'population' column for the y-value and 'season' for the hue-value.
  6. Show the plot.

Все було зрозуміло?

Секція 2. Розділ 6
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course content

Зміст курсу

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

3-variable Lineplot3-variable Lineplot

With the help of the seaborn, we can view the dynamics of the population, for example, relative to each season during 10 years by adding the third variable to our lineplot.

To initialize a lineplot based on the pandas DataFrame, you need to input at least 4 parameters: x y (columns-markers for the plot), hue (the third variable), and data (the DataFrame containing the data).

Look at the code below!

Завдання

  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 using df variable.
  5. Create a 3-variable lineplot using 'year' column for the x-value and 'population' column for the y-value and 'season' for the hue-value.
  6. Show the plot.

Все було зрозуміло?

Секція 2. Розділ 6
toggle bottom row
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