You can manipulate a DataFrame with methods and operators. The DataFrames created using the DataFrame() constructor, or the DataFrame() and DataFrame.from_table() and DataFrame.from_query() functions have the same methods and operators.
DataFrame Methods
A DataFrame method has the basic syntax DataFrame.method(arguments). Using the specified DataFrame and arguments, the method returns a new DataFrame. The specified DataFrame remains unchanged.
- apply Method
- Applies user defined function (UDF) to each row in teradataml DataFrame, leveraging APPLY table operator of Open Analytics Framework.
- assign() Method
- Assigns new column expressions in a DataFrame.
- concat() Method
- Concatenate two teradataml DataFrame objects along the index axis.
- describe() Method
- Generates statistics for numeric columns. Computes the count, mean, std, min, percentiles, and max for numeric columns.
- drop() Method
- Drops specified labels from rows or columns in a DataFrame.
- dropna() Method
- Removes rows with null values in a DataFrame.
- filter() Method
- Returns only the filtered columns or rows (based on the index) of a DataFrame.
- get() Method
- Retrieves required columns from a DataFrame using column names as key.
- get_values() Method
- Retrieves all values (only) present in a DataFrame.
- groupby() Method
- Returns all columns of a DataFrame, grouped as specified.
- head() Method
- Returns the first n rows of a DataFrame.
- itertuples() Method
- Iterates over teradataml DataFrame rows as namedtuples.
- join() Method
- Joins two different teradataml DataFrames together.
- map_partition() Method
- Applies a function to a group or partition of rows in a teradataml DataFrame and returns a teradataml DataFrame.
- map_row() Method
- Applies a function to every row in a teradataml DataFrame and returns a teradataml DataFrame.
- merge() Method
- Merges two teradataml DataFrames together.
- sample() Method
- Samples rows from a DataFrame, directly or based on conditions.
- select() Method
- Returns only the selected columns of a DataFrame.
- set_index() Method
- Assigns one or more existing columns as the new index to a DataFrame.
- show_query() Method
- Returns underlying SQL for the teradataml DataFrame.
- sort() Method
- Returns all columns of a DataFrame, sorted as specified.
- sort_index() Method
- Returns sorted objects by labels (along an axis) in either ascending or descending order for a DataFrame.
- squeeze() Method
- Squeezes one-dimensional axis objects into a scalar for DataFrames with a single element, or a Series object for a DataFrame with a single column.
- tail() Method
- Returns the last n rows of the sorted DataFrame.
For a list of regular aggregate functions supported by DataFrame, see Regular Aggregate Functions Supported by DataFrame.
For a list of time series aggregate functions, see Time Series Aggregate Functions.
- The describe() and get_values() methods do not return a teradataml DataFrame.
- The groupby() method returns instance of teradataml DataFrameGroupBy, which is inherited from teradataml DataFrame.
- The groupby_time() and resample() methods return instance of teradataml DataFrameGroupByTime, which is inherited from teradataml DataFrame.
Functions
- drop_duplicate() Function
- Drops duplicate rows from teradataml DataFrame to return distinct values from the DataFrame.
Operators
- DataFrame.loc[arguments]
- DataFrame.iloc[arguments]
- DataFrame[arguments]
All operators are filters. Another filter is the filter() method.
- index[] Operator
- Returns only the filtered rows of a DataFrame.
- loc[] Operator
- Returns new DataFrame that has only the filtered columns and rows of a DataFrame accessed by labels.
- iloc[] Operator
- Returns new DataFrame that has only the filtered columns and rows of a DataFrame accessed by integer values.