tslumen.profile.distribution module¶
Distribution functions.
-
tslumen.profile.distribution.binned(data: pandas.core.series.Series, nbins: Optional[int] = None) → pandas.core.series.Series[source]¶ Bins the data in
nbinsbins.- Parameters
data (pd.Series) – Timeseries to bin.
nbins (Optional[int]) – Number of bins, if not provided uses the Freedman-Diaconis rule to calculate the number of bins: bw=2×IQR×n^{−1/3}; n_bins=(max−min)/bw
- Returns
Series with the counts, indexed by bins.
- Return type
pd.Series
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tslumen.profile.distribution.pd_percentiles(data: pandas.core.series.Series) → pandas.core.frame.DataFrame[source]¶ Calculates percentiles – supporting data for a PP-plot.
- Parameters
data (pd.Series) – Timeseries to data.
- Returns
DataFrame with 3 columns, theoretical_percentiles, sample_percentiles and reference
- Return type
pd.DataFrame
-
tslumen.profile.distribution.pd_quantiles(data: pandas.core.series.Series) → pandas.core.frame.DataFrame[source]¶ Calculates quantiles – supporting data for a QQ-plot.
- Parameters
data (pd.Series) – Timeseries data.
- Returns
DataFrame with 3 columns, theoretical_quantiles, sample_quantiles and reference
- Return type
pd.DataFrame