Data Visualisation in Graphics Using Python

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()

# 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)

# 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()

# 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()