Visualize Plot and Subplots using Matplotlib and Python - P1

Visualize Plot and Subplots using Matplotlib and Python

Topic to be Covered - Data Visualisation

import pandas as pd

No 1

No 2
'''
1 2 3
1 x 3

1,3,1
1,3,2
1,3,3'''

No 3

No 4
'''
1 2 3
4 5 6
7 8 9
10 11 12
13 14 15
16 17

6 x 3'''

categories = ['Agriculture','Architecture','Art and Performance',
'Biology','Business','Communications and Journalism',
'Computer Science','Education','Engineering',
'English','Foreign Languages','Health Professions',
'Math and Statistics','Physical Sciences','Psychology',
'Public Administration','Social Sciences and History']

ax = [ax1,ax2,ax3,ax4,ax5,ax6,ax7,ax8,ax9,ax10,ax11,ax12,ax13,ax14,ax15,ax16,ax17]

for i in range(len(categories)):
ax[i].plot(df['Year'],df[categories[i]],c='red',label='Women')
ax[i].plot(df['Year'],100-df[categories[i]],c='blue',label='Women')
ax[i].set_title(categories[i])
ax[i].set_ylim(0,100)


All Playlist of this youtube channel
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1. Data Preprocessing in Machine Learning

2. Confusion Matrix in Machine Learning, ML, AI

3. Anaconda, Python Installation, Spyder, Jupyter Notebook, PyCharm, Graphviz

4. Cross Validation, Sampling, train test split in Machine Learning

5. Drop and Delete Operations in Python Pandas

6. Matrices and Vectors with python

7. Detect Outliers in Machine Learning

8. TimeSeries preprocessing in Machine Learning

9. Handling Missing Values in Machine Learning

10. Dummy Encoding Encoding in Machine Learning

11. Data Visualisation with Python, Seaborn, Matplotlib

12. Feature Scaling in Machine Learning

13. Python 3 basics for Beginner

14. Statistics with Python

15. Sklearn Scikit Learn Machine Learning

16. Python Pandas Dataframe Operations

17. Linear Regression, Supervised Machine Learning

18 Interiew Questions on Machine Learning and Data Science

19. Jupyter Notebook Operations

[sachin]

Brother you are doing great job, just keep it up

These are very helpul videos