Clustermap

A clustermap is a matrix plot with a heatmap and two clustering dendrograms (learn more: Machine Learning).

Tehtävä

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Create the clustermap using the seaborn library:

Add the data for the clustermap. Input only the name of the DataFrame;
Set the 'vlag' cmap;
Set the standard_scale parameter equals 1;
Set the 'single' method parameter;
Set the 'correlation' metric parameter;
Add the annot;
Set the vmin parameter equals 0 and vmax parameter equals 10;
Display the plot.

Ratkaisu

# Importing libraries needed

import pandas as pd

import seaborn as sns

import matplotlib.pyplot as plt

# Reading the file

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656/flights.csv')

upd_df = df.pivot_table(index='month', columns='year', values='passengers')

# Create a clustermap

sns.clustermap(# Add the data for the cluster

upd_df,

# Set the cmap

cmap = 'vlag',

# Set the standard_scale

standard_scale = 1,

# Set the method

method = 'single',

# Set the metric

metric = 'correlation',

# Set the annot

annot = True,

# Set the vmin

vmin = 0,

# Set the vmax

vmax = 10)

# Display the plot

plt.show()

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Osio 4. Luku 2

# Importing libraries needed

import pandas as pd

import seaborn as sns

import matplotlib.pyplot as plt

# Reading the file

df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/66ba0c8e-8422-413c-b7e1-74bd24c61656/flights.csv')

upd_df = df.pivot_table(index='month', columns='year', values='passengers')

# Create a clustermap

___(# Add the data for the clustermap

___,

# Set the cmap

___,

# Set the standard_scale

___ = 1,

# Set the method

___ = 'single',

# Set the metric

metric = '___',

# Set the annot

___,

# Set the vmin

___,

# Set the vmax

vmax = ___)

# Display the plot

___

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