Multivariate Pattern Analysis in Python

# 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 `std` and `n` a dark gray shaded area representing +-SEM will be plotted.

  std : array or None

  > Standard deviation time series. If provided in combination with `mean` and `n` a 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 `mean` and `std` a dark gray shaded area representing +-SEM will be plotted.

  min : array or None

  > Minimum value time series. If provided in combination with `max` a light gray shaded area representing the range will be plotted.

  max : array or None

  > Maximum value time series. If provided in combination with `min` a light gray shaded area representing the range will be plotted.

  p25 : array or None

  > 25% percentile time series. If provided in combination with `p75` a medium gray shaded area representing the +-25% percentiles will be plotted.

  p75 : array or None

  > 75% percentile time series. If provided in combination with `p25` a 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.