What is Data Processing in Python?
Data processing in Python refers to manipulating, transforming, and analyzing data by using Python. It contains a series of operations that aim to change raw data into structured data. or meaningful insights. By converting raw data into meaningful insights it makes it suitable for analysis, visualization, or other applications.Python provides several libraries and tools that facilitate efficient data processing, making it a popular choice for working with diverse datasets.
Refer to this article – Introduction to Data Processing
Data Processing with Pandas
Data Processing is an important part of any task that includes data-driven work. It helps us to provide meaningful insights from the data. As we know Python is a widely used programming language, and there are various libraries and tools available for data processing.
In this article, we are going to see Data Processing in Python, Loading, Printing rows and Columns, Data frame summary, Missing data values Sorting and Merging Data Frames, Applying Functions, and Visualizing Dataframes.
Table of Content
- What is Data Processing in Python?
- What is Pandas?
- Loading Data in Pandas DataFrame
- Printing rows of the Data
- Printing the column names of the DataFrame
- Summary of Data Frame
- Descriptive Statistical Measures of a DataFrame
- Missing Data Handing
- Sorting DataFrame values
- Merge Data Frames
- Apply Function
- By using the lambda operator
- Visualizing DataFrame
- Conclusion
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