Boxplots are a measure of how well distributed the data during a data set is. It divides the data set into three quartiles. This graph represents the minimum, maximum, median, first quartile and third quartile within the data set. it’s also useful in comparing the distribution of knowledge across data sets by drawing boxplots for every of them.

Drawing a Box Plot

Boxplot are often drawn calling Series.box.plot() and DataFrame.box.plot(), or DataFrame.boxplot() to see the distribution of values within each column.

For instance, here may be a boxplot representing five trials of 10 observations of a consistent variate on [0,1).

import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.rand(10, 5), columns=['A', 'B', 'C', 'D', 'E'])
df.plot.box(grid='True')

Its output is as follows −

1.1 1

Python – Heat Maps

A heatmap contains values representing various reminder an equivalent colour for every value to be plotted. Usually the darker reminder the chart represent higher values than the lighter shade. For a really different value a totally different colour also can be used.

The below example may be a two-dimensional plot of values which are mapped to the indices and columns of the chart.

from pandas import DataFrame
import matplotlib.pyplot as plt
data=[{2,3,4,1},{6,3,5,2},{6,3,5,4},{3,7,5,4},{2,8,1,5}]
Index= ['I1', 'I2','I3','I4','I5']
Cols = ['C1', 'C2', 'C3','C4']
df = DataFrame(data, index=Index, columns=Cols)
plt.pcolor(df)
plt.show()

Its output is as follows −

1.2

Python – Scatter Plots

Scatterplots show many points plotted within the plane. Each point represents the values of two variables. One variable is chosen within the horizontal axis and another within the vertical axis.

Drawing a Scatter Plot

Scatter plot are often created using the DataFrame.plot.scatter() methods.

import pandas as pd
import numpy as np
df = pd.DataFrame(np.random.rand(50, 4), columns=['a', 'b', 'c', 'd'])
df.plot.scatter(x='a', y='b')

Its output is as follows −

1.3

Python – Heat Maps

The below example may be a two-dimensional plot of values which are mapped to the indices and columns of the chart.

from pandas import DataFrame
import matplotlib.pyplot as plt
data=[{2,3,4,1},{6,3,5,2},{6,3,5,4},{3,7,5,4},{2,8,1,5}]
Index= ['I1', 'I2','I3','I4','I5']
Cols = ['C1', 'C2', 'C3','C4']
df = DataFrame(data, index=Index, columns=Cols)
plt.pcolor(df)
plt.show()

Its output is as follows −

1.4

So, this brings us to the end of blog. This Tecklearn ‘Box Plots and Scatter Plots and Heat Maps in Python’ blog helps you with commonly asked questions if you are looking out for a job in Python Programming. If you wish to learn Python and build a career in Data Science domain, then check out our interactive, Python with Data Science Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

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Python installation
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Looping in Python
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First Python program
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Set and Frozen Set
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Pandas for data analysis and machine learning
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Types of plots – bar graphs, pie charts, histograms
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