seaborn library

Seaborn is a library for making statistical graphics in Python. It is built on top of matplotlib and closely integrated with pandas data structures.
install it before start
pip install seaborn

Example1:


import seaborn as sns
sns.set()
tips = sns.load_dataset("tips")
sns.relplot(x="total_bill", y="tip", col="time",
            hue="smoker", style="smoker", size="size",
            data=tips);

output:

bar chart in datascience using matplotlib in python

import matplotlib.pyplot as plt
import numpy as np

def plot_bar_x():
    # this is for plotting purpose
    index = np.arange(len(label))
    plt.bar(index, no_movies)
    plt.xlabel('Genre', fontsize=5)
    plt.ylabel('No of Movies', fontsize=5)
    plt.xticks(index, label, fontsize=5, rotation=30)
    plt.title('Market Share for Each Genre 1995-2017')
    plt.show()

label = ['Adventure', 'Action', 'Drama', 'Comedy', 'Thriller/Suspense', 'Horror', 'Romantic Comedy', 'Musical',
         'Documentary', 'Black Comedy', 'Western', 'Concert/Performance', 'Multiple Genres', 'Reality']
no_movies = [941,
    854,
    4595,
    2125,
    942,
    509,
    548,
    149,
    1952,
    161,
    64,
    61,
    35,
    5
]

plot_bar_x()

output: