mvpa2.misc.plot.base.timeseries_boxplot¶
- 
mvpa2.misc.plot.base.timeseries_boxplot(median, mean=None, std=None, n=None, min=None, max=None, p25=None, p75=None, outlierd=None, segment_sizes=None, **kwargs)¶
- Produce a boxplot-like plot for time series data. - Most statistics that are normally found in a boxplot are supported, but at the same time most of them are also optional. This function performs plotting only. Actual statistics need to be computed elsewhere (see - compute_ts_boxplot_stats).- Parameters: - median : array - Median time series. Plotted as a black line. - mean : array or None - Mean time series. If provided in combination with - stdand- na dark gray shaded area representing +-SEM will be plotted.- std : array or None - Standard deviation time series. If provided in combination with - meanand- na dark gray shaded area representing +-SEM will be plotted.- n : array or None - Number of observations per time series sample. If provided in combination with - meanand- stda dark gray shaded area representing +-SEM will be plotted.- min : array or None - Minimum value time series. If provided in combination with - maxa light gray shaded area representing the range will be plotted.- max : array or None - Maximum value time series. If provided in combination with - mina light gray shaded area representing the range will be plotted.- p25 : array or None - 25% percentile time series. If provided in combination with - p75a medium gray shaded area representing the +-25% percentiles will be plotted.- p75 : array or None - 75% percentile time series. If provided in combination with - p25a medium gray shaded area representing the +-25% percentiles will be plotted.- outlierd : list(masked array) or None - A list with items corresponding to each data segment. Each item is a masked array (observations x series) with all non-outlier values masked. Outliers are plotted in red color. - segment_sizes : list or None - If provided, each items indicates the size of one element in a consecutive series of data segment. A marker will be be drawn at the border between any two consecutive segments. - **kwargs - Additional keyword arguments that are uniformly passed on to any utilized plotting function. 

 
  

