Pandas Crosstab for Data Analysis and Visualisation - P35
Topic to be covered - Crosstab in python
Code Start Here
=============
import pandas as pd
df = pd.read_csv('train.csv')
crosstab1 = pd.crosstab(df['Pclass'],df['Sex'])
crosstab1.plot(kind='barh',stacked=True,color=['yellow','purple'],grid=False)
crosstab2 = pd.crosstab(df['Pclass'],df['Survived'])
crosstab2.plot(kind='barh',stacked=True,color=['yellow','purple'],grid=False)
-----------------------------------------------
df['Title'] = df['Name'].str.extract('([A-Za-z]+)\.',expand=True)
df['Title'] = df['Title'].replace(['Lady','Countess','Capt','Dr','Don','Rev','Sir',
'Jonkheer','Dona','Col','Major'],'VeryRare')
df['Title'] = df['Title'].replace('Mme','Mrs')
df['Title'] = df['Title'].replace('Mlle','Miss')
df['Title'] = df['Title'].replace('Ms','Miss')
crosstab3 = pd.crosstab(df['Title'],df['Survived'])
crosstab3.plot(kind='barh',stacked=True,color=['red','green'],grid=False)
All Playlist of this youtube channel
====================================
1. Data Preprocessing in Machine Learning
• Data Preprocessing in Machine Learnin...
2. Confusion Matrix in Machine Learning, ML, AI
• Confusion Matrix in Machine Learning,...
3. Anaconda, Python Installation, Spyder, Jupyter Notebook, PyCharm, Graphviz
• Anaconda | Python Installation | Spyd...
4. Cross Validation, Sampling, train test split in Machine Learning
• Cross Validation | Sampling | train t...
5. Drop and Delete Operations in Python Pandas
• Drop and Delete Operations in Python ...
6. Matrices and Vectors with python
• Matrices and Vectors with python
7. Detect Outliers in Machine Learning
• Detect Outliers in Machine Learning
8. TimeSeries preprocessing in Machine Learning
• TimeSeries preprocessing in Machine L...
9. Handling Missing Values in Machine Learning
• Handling Missing Values in Machine Le...
10. Dummy Encoding Encoding in Machine Learning
• Label Encoding, One hot Encoding, Dum...
11. Data Visualisation with Python, Seaborn, Matplotlib
• Data Visualisation with Python, Matpl...
12. Feature Scaling in Machine Learning
• Feature Scaling in Machine Learning
13. Python 3 basics for Beginner
• Python | Python 3 Basics | Python for...
14. Statistics with Python
• Statistics with Python
15. Sklearn Scikit Learn Machine Learning
• Sklearn Scikit Learn Machine Learning
16. Python Pandas Dataframe Operations
• Python Pandas Dataframe Operations
17. Linear Regression, Supervised Machine Learning
• Linear Regression | Supervised Machin...
18 Interiew Questions
• Interview Question for Machine Learni...
19. Jupyter Notebook Operations
• Jupyter and Spyder Notebook Operation...