Python Data Visualization Essentials Guide by Kalilur Rahman

Author:Kalilur Rahman [Rahman, Kalilur]
Language: eng
Format: epub
ISBN: 9789391030063
Publisher: BPB Publications
Published: 2021-08-15T00:00:00+00:00

ax2 = titanic['Fare'][titanic['Sex']=='male'].hist(bins=25, label='Male')

titanic['Fare'][titanic['Sex']=='female'].hist(bins=25, ax = ax2, label='Female')

ax2.set_xlabel('Fare')

ax2.set_ylabel('Count')

ax2.set_title('Distribution by Fare')

ax2.legend()

plt.show()

We get the following output for the exercises 5-50 and 5-51 in Jupyter Notebook:

Figure 5.48: Pandas – histogram of two parameters – fare and gender of passengers in Titanic

Figure 5.49: Pandas – histogram of two parameters – age and gender of passengers in Titanic

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