Frame package

• DataFrame module
  • DataFrame
    • DataFrame.columns
    • DataFrame.from_pandas()
    • DataFrame.reindex()
    • DataFrame.to_pandas()
• Methods
  • DataFrame.astype()
• Series module
  • Parameters
  • Attributes
  • astype()
  • iterrows()
  • plot()
  • resample()
  • rolling()
  • to_numpy()
  • to_pandas()

Basic Frame

Parameters

valuesnp.ndarray

Data that is to be represented by the DataFrame. The dimensions of “values” must be equal to len(columns) x len(index)

indexarray-like

Index that of values. len(index) must be equal to values.shape[1]

Sloth.frame.Frame.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.frame.Frame.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.frame.Frame.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.frame.Frame.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.frame.Frame.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.frame.Frame.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]])