BabyPandas Documentation

Release:1.0 Date:Nov 01, 2022

babypandas is a pandas data-analysis module with a restricted API.

This module is a simplified version of pandas with only methods deemed necessary for an introductory course. babypandas methods also only contain the necessary arguments needed for basic table manipulation and visualization, reducing the complication found in pandas. Writing this module as a restricted version of pandas allows for an easy transition into pandas.

Reference

DataFrame

Summary of DataFrame methods for babyandas. DataFrame are a two-dimensional tabular data structure with labeled rows (indices) and columns.

Click a method to see its documentation.

Creation

DataFrame.__init__(**kwargs)	Create an empty DataFrame.
DataFrame.from_dict(data)	Construct DataFrame from dict of array-like or dicts.
DataFrame.from_records(data, *[, columns])	Convert structured or record ndarray to DataFrame.
DataFrame.assign(**kwargs)	Assign new columns to a DataFrame.

Selection

DataFrame.take(indices)	Return the rows in the given positional indices.
DataFrame.drop(*[, columns])	Remove columns by specifying column names.
DataFrame.sample([n, replace, random_state])	Return a random sample of rows from a data frame.
DataFrame.get(key)	Return column or columns from data frame.

Transformation

DataFrame.apply(func[, axis])	Apply a function along an axis of the DataFrame.
DataFrame.sort_values(by, *[, ascending])	Sort by the values in column(s) named in by.
DataFrame.describe()	Generate descriptive statistics.
DataFrame.groupby(by)	Group DataFrame by values in columns specified in by.
DataFrame.reset_index(*[, drop])	Reset the index.
DataFrame.set_index(keys[, drop])	Set the DataFrame index using existing columns.

Combining

DataFrame.merge(right[, how, on, left_on, …])	Merge DataFrame or named Series objects with a database-style join.
DataFrame.append(other[, ignore_index])	Append rows of other to the end of caller, returning a new object.

Plotting

DataFrame.plot(*args, **kwargs)

DataFrame plotting accessor and method

IO

DataFrame.to_csv([path_or_buf, index])	Write object to a comma-separated values (csv) file.
DataFrame.to_numpy()	Convert the DataFrame to a NumPy array.

Series

Summary of Series methods for babypandas. Series are one-dimensional arrays with labeled indices.

Click a method to see its documentation.

Creation

Series.__init__(**kwargs)

Create an empty Series.

Selection

Series.take(indices)	Return the elements in the given positional indices.
Series.sample([n, replace, random_state])	Return a random sample of elements from a Series.

Transformation

Series.apply(func)	Invoke function on values of Series.
Series.sort_values(*[, ascending])	Sort by the values.
Series.describe()	Generate descriptive statistics.
Series.reset_index(*[, drop])	Reset the index.

Plotting

Series.plot(*args, **kwargs)

Series plotting accessor and method.

IO

Series.to_csv([path_or_buf, index])	Write object to a comma-separated values (csv) file.
Series.to_numpy()	A NumPy ndarray representing the values in this Series or Index.

Calculations

Series.count()	Return number of non-NA/null observations in the Series.
Series.mean()	Return the mean of the values for the requested axis.
Series.median()	Return the median of the values for the requested axis.
Series.min()	Return the minimum of the values in the Series.
Series.max()	Return the maximum of the values in the Series.
Series.sum()	Return the sum of the values in the Series.
Series.abs()	Return a Series with absolute numeric value of each element.

GroupBy

Summary of DataFrameGroupBy methods for babypandas. DataFrameGroupBy objects are returned by groupby calls: DataFrame.groupby()

Click a method to see its documentation.

Calculations

DataFrameGroupBy.count()	Compute count of group.
DataFrameGroupBy.mean()	Compute mean of group.
DataFrameGroupBy.median()	Compute median of group.
DataFrameGroupBy.min()	Compute min of group.
DataFrameGroupBy.max()	Compute max of group.
DataFrameGroupBy.sum()	Compute sum of group.
DataFrameGroupBy.size()	Compute group sizes.