Series module

One-dimensional labeled array capable of holding any data type.

Parameters

valuesnp.ndarray

The array holding the data.

indexIndex

The index (axis labels).

namestr, optional

The name of the Series.

index_typeIndexType, optional

The type of index.

Attributes

referencestr

A reference code for the Series.

namestr or None

The name of the Series.

Sloth.Series.astype()

Cast the values of the frame to the specified type.

Parameters:

type_type

Type to cast the values to.

Examples

>>> frame.astype(float)

Sloth.Series.iterrows()

Iterate over the rows of the frame.

Yields:

np.ndarray

Numpy array representing a row of the frame.

Examples

>>> for row in frame.iterrows():
...     print(row)
[1, 2, 3]
[4, 5, 6]

Sloth.Series.plot()

Plotting function. Requires matplotlib and Pandas to be installed. All parameters are passed onto pandas.

Returns:

matplotlib.axes.AxesSubplot

AxesSubplot object representing the plot.

Sloth.Series.resample()

Resample the frame to a specified frequency.

Parameters:

freqstr

Frequency string.

Returns:

Resampler

Resampler object for resampling the frame.

Examples

>>> frame.resample('D')

Sloth.Series.rolling()

Provide rolling window calculations.

Parameters:

windowint

Size of the moving window.

Returns:

Rolling

Rolling object for performing rolling window calculations.

Examples

>>> frame.rolling(3)

Sloth.Series.to_numpy()

Convert the frame to a numpy array.

Returns:

np.ndarray

Numpy array representation of the frame.

Examples

>>> frame.to_numpy()
array([[1, 2, 3],
       [4, 5, 6]])

Sloth.Series.to_pandas()

Convert the Series to a pandas Series.

Returns:

pd.Series

A pandas Series containing the same data.