(Python Example for Beginners)
Write a Pandas program to rename names of columns and specific labels of the Main Index of the MultiIndex dataframe.
Sample Solution:
Python Code :
Sample Output:
[('sale1', 'city1'), ('sale1', 'city2'), ('sale2', 'city1'), ('sale2', 'city2'), ('sale3', 'city1'), ('sale3', 'city2'), ('sale4', 'city1'), ('sale4', 'city2')] Construct a Dataframe using the said MultiIndex levels: 0 1 2 3 4 sale city sale1 city1 -0.846342 -0.741958 1.776873 -0.526789 0.425722 city2 -1.191729 2.871049 1.334246 -0.555390 0.678033 sale2 city1 1.215433 -0.305873 -0.197025 -1.145550 0.367179 city2 -1.043111 -0.054862 -0.409382 -0.781236 -1.111498 sale3 city1 0.198136 -0.092846 0.211265 -0.338316 -0.006117 city2 1.254932 0.660553 -0.343675 -1.488751 1.141144 sale4 city1 0.440996 -1.886134 -1.705170 -0.583568 -0.094108 city2 -0.645809 -0.979893 0.589839 -0.440143 0.032115 Rename the columns name of the said dataframe col1 col2 col3 col4 col5 sale city sale1 city1 -0.846342 -0.741958 1.776873 -0.526789 0.425722 city2 -1.191729 2.871049 1.334246 -0.555390 0.678033 sale2 city1 1.215433 -0.305873 -0.197025 -1.145550 0.367179 city2 -1.043111 -0.054862 -0.409382 -0.781236 -1.111498 sale3 city1 0.198136 -0.092846 0.211265 -0.338316 -0.006117 city2 1.254932 0.660553 -0.343675 -1.488751 1.141144 sale4 city1 0.440996 -1.886134 -1.705170 -0.583568 -0.094108 city2 -0.645809 -0.979893 0.589839 -0.440143 0.032115 Rename specific labels of the main index of the DataFrame col1 col2 col3 col4 col5 sale city sale1 city1 -0.846342 -0.741958 1.776873 -0.526789 0.425722 C2 -1.191729 2.871049 1.334246 -0.555390 0.678033 S2 city1 1.215433 -0.305873 -0.197025 -1.145550 0.367179 C2 -1.043111 -0.054862 -0.409382 -0.781236 -1.111498 sale3 city1 0.198136 -0.092846 0.211265 -0.338316 -0.006117 C2 1.254932 0.660553 -0.343675 -1.488751 1.141144 sale4 city1 0.440996 -1.886134 -1.705170 -0.583568 -0.094108 C2 -0.645809 -0.979893 0.589839 -0.440143 0.032115
Pandas Example – Write a Pandas program to rename names of columns and specific labels of the Main Index of the MultiIndex dataframe
Two Machine Learning Fields
There are two sides to machine learning:
- Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
- Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
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