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How do I create a multiline plot using seaborn?

Hello Guys, How are you all? Hope You all Are Fine. Today We Are Going To learn about How do I create a multiline plot using seaborn in Python. So Here I am Explain to you all the possible Methods here.

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Table of Contents

How do I create a multiline plot using seaborn?

  1. How do I create a multiline plot using seaborn?

    You probably need to re-organize your dataframe in a suitable way so that there is one column for the x data, one for the y data, and one which holds the label for the data point.

  2. I create a multiline plot using seaborn

    You probably need to re-organize your dataframe in a suitable way so that there is one column for the x data, one for the y data, and one which holds the label for the data point.

Method 1

Seaborn favors the “long format” as input. The key ingredient to convert your DataFrame from its “wide format” (one column per measurement type) into long format (one column for all measurement values, one column to indicate the type) is pandas.melt. Given a data_preproc structured like yours, filled with random values:

num_rows = 20
years = list(range(1990, 1990 + num_rows))
data_preproc = pd.DataFrame({
    'Year': years, 
    'A': np.random.randn(num_rows).cumsum(),
    'B': np.random.randn(num_rows).cumsum(),
    'C': np.random.randn(num_rows).cumsum(),
    'D': np.random.randn(num_rows).cumsum()})

A single plot with four lines, one per measurement type, is obtained with

sns.lineplot(x='Year', y='value', hue='variable', 
             data=pd.melt(data_preproc, ['Year']))

(Note that ‘value’ and ‘variable’ are the default column names returned by melt, and can be adapted to your liking.)

Method 2

sns.lineplot(x="Year", y="signal", hue="label", data=data_preproc)

You probably need to re-organize your dataframe in a suitable way so that there is one column for the x data, one for the y data, and one which holds the label for the data point.

You can also just use matplotlib.pyplot. If you import seaborn, much of the improved design is also used for “regular” matplotlib plots. Seaborn is really “just” a collection of methods which conveniently feed data and plot parameters to matplotlib.

Summery

It’s all About this issue. Hope all Methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which Method worked for you? Thank You.

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