Data Visualisation in Graphics Using Python

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Data Visualisation in Graphics Using Python



In This tutorial You will learn about Graphs , How to plot a Graphs , Bar-chart, Box Plot , Venn Diagram , Area Chart , world cloud , Histogram Scatter plot in Python we have Develop lots of Graphs with the help of Python for you and sharing Source code with you Guys.

You Guys can download 150 Data Visualisation Graphics Using Python

Basic Bar Plot

Bar Plot is very common type of Graphs it use to Show Data with relationship like if we want to show Height and weight.

import numpy as np
import matplotlib.pyplot as plt

>> Make a Your own Required dataset:
height = [5, 10, 20, 30, 35]
bars = ('A', 'B', 'C', 'D', 'E')
y_pos = np.arange(len(bars))

>> Create bars
plt.bar(y_pos, height)

>> Create names on the x-axis
plt.xticks(y_pos, bars)

>> Show graphic
plt.show()

Area Plot Chart In Python


Code of Area chart in python

# libraries
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
sns.set_style("whitegrid")

# Color palette
blue, = sns.color_palette("muted", 1)

# Create data
x = np.arange(23)
y = np.random.randint(8, 20, 23)

# Make the plot
fig, ax = plt.subplots()
ax.plot(x, y, color=blue, lw=3)
ax.fill_between(x, 0, y, alpha=.3)
ax.set(xlim=(0, len(x) - 1), ylim=(0, None), xticks=x)

Grouped Bar-plots in Python


Code of Grouped bar Plot in python

# libraries
import numpy as np
import matplotlib.pyplot as plt

# set width of bar
barWidth = 0.25

# set height of bar
bars1 = [12, 30, 1, 8, 22]
bars2 = [28, 6, 16, 5, 10]
bars3 = [29, 3, 24, 25, 17]

# Set position of bar on X axis
r1 = np.arange(len(bars1))
r2 = [x + barWidth for x in r1]
r3 = [x + barWidth for x in r2]

# Make the plot
plt.bar(r1, bars1, color='#7f6d5f',
 width=barWidth, edgecolor='white',
 label='var1')
plt.bar(r2, bars2, color='#557f2d',
width=barWidth, edgecolor='white',
 label='var2')
plt.bar(r3, bars3, color='#2d7f5e',
 width=barWidth, edgecolor='white',
 label='var3')

# Add xticks on the middle
of the group bars
plt.xlabel('group', fontweight='bold')
plt.xticks([r + barWidth for r in range(len(bars1))],
['A', 'B', 'C', 'D', 'E'])

# Create legend &
Show graphic
plt.legend()
plt.show()

Basic Venn Diagram with two groups



Code of Basic Venn Diagram with 2 Groups in python

# library
import matplotlib.pyplot as plt
from matplotlib_venn import venn2

# First way to call the 2 group Venn diagram:
venn2(subsets = (10, 5, 2), set_labels = ('Group A', 'Group B'))
plt.show()

# Second way
venn2([set(['A', 'B', 'C', 'D']), set(['D', 'E', 'F'])])
plt.show()

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