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First Dive into seaborn Visualization
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First Dive into seaborn Visualization

First Dive into seaborn Visualization

1. Nice to Meet you, seaborn!
2. More and More Plots
3. Plot Customization

book
Lineplot

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!

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# Importing libraries needed import seaborn as sns import matplotlib.pyplot as plt import pandas as pd # Reading the file df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c5b4ea8f-8a30-439f-9625-ddf2effbd9ac/example4.csv') # Creating the lineplot sns.lineplot(x = 'x', y = 'y', data = df) # Showing the plot plt.show()
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Let's solve this problem!

Taak

Swipe to start coding

  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.

Oplossing

Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 2. Hoofdstuk 5
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book
Lineplot

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!

12345678910111213
# Importing libraries needed import seaborn as sns import matplotlib.pyplot as plt import pandas as pd # Reading the file df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/c5b4ea8f-8a30-439f-9625-ddf2effbd9ac/example4.csv') # Creating the lineplot sns.lineplot(x = 'x', y = 'y', data = df) # Showing the plot plt.show()
copy

Let's solve this problem!

Taak

Swipe to start coding

  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.

Oplossing

Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 2. Hoofdstuk 5
Switch to desktopSchakel over naar desktop voor praktijkervaringGa verder vanaf waar je bent met een van de onderstaande opties
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