Short introduction to pandas 10 Minutes to pandas
More complex recipes in the Cookbook.
Operations
See the Basic section on Binary Ops.
DataFrame Sort
Viewing Data
Data Seletion by Label
Date Selection by Position
Data Selection by Boolean Indexing
Missing Data
String Methods
Appending Data
Grouping Data
By “group by” we are referring to a process involving one or more of the following steps:
- Splitting the data into groups based on some criteria
- Applying a function to each group independently
- Combining the results into a data structure
More details at GroupBy Section
Plotting
See the Plotting docs
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Getting Data In/Out
Reshaping
See the sections on Hierarchical Indexing and Reshaping.
Time Series
pandas has simple, powerful, and efficient functionality for performing resampling operations during frequency conversion (e.g., converting secondly data into 5-minutely data). This is extremely common in, but not limited to, financial applications. See the Time Series section.
Categoricals
pandas can include categorical data in a DataFrame. For full docs, see the categorical introduction and the API documentation.