Norm

To obtain charts, make sure to add chart=True as the last parameter

Get underlying data

econometrics.norm(data: pandas.core.series.Series) -> pandas.core.frame.DataFrame

The distribution of returns and generate statistics on the relation to the normal curve.
This function calculates skew and kurtosis (the third and fourth moments) and performs both
a Jarque-Bera and Shapiro Wilk test to determine if data is normally distributed.

Parameters
----------
data : pd.Series
    A series or column of a DataFrame to test normality for

Returns
-------
pd.DataFrame
    Dataframe containing statistics of normality

Getting charts

econometrics.norm(data: pandas.core.series.Series, dataset: str = ‘’, column: str = ‘’, plot: bool = False, export: str = ‘’, external_axes: Optional[List[axes]] = None, chart=True)

Determine the normality of a timeseries.

Parameters
----------
data: pd.Series
    Series of custom data
dataset: str
    Dataset name
column: str
    Column for y data
plot : bool
    Whether you wish to plot a histogram
export: str
    Format to export data.
external_axes: Optional[List[plt.axes]]
    External axes to plot on