histogram_tetraptych¶
-
esis.data.inversion.mart.stats.
histogram_tetraptych
(x, y, percentile_threshold_x=0.1, percentile_threshold_y=1.0, num_histogram_bins=100, x_axis_labels=('', '', '', ''), y_axis_labels=('', '', '', ''), red_line=False, interquartile_contour=False, min_iqr_count=10)¶ Produces a figure with four subplots, each a 2D histogram between corresponding entries in x and y
- Parameters
x (
typing.Tuple
[numpy.ndarray
,numpy.ndarray
,numpy.ndarray
,numpy.ndarray
]) – tuple of 4 arraysy (
typing.Tuple
[numpy.ndarray
,numpy.ndarray
,numpy.ndarray
,numpy.ndarray
]) – tuple of 4 arrayspercentile_threshold_x (
float
) – parameter used to calculate max and min percentile values for arrays in xpercentile_threshold_y (
float
) – parameter used to calculate max and min percentile values for arrays in ynum_histogram_bins (
int
) – how many bins in each the x and y axes for the histogramx_axis_labels (
typing.Tuple
[str
,str
,str
,str
]) –y_axis_labels (
typing.Tuple
[str
,str
,str
,str
]) –red_line (
bool
) – if True, plot the “x=y” line in each subplot as a red lineinterquartile_contour (
bool
) – if True, plots contour of 25th, 50th, and 75th percentile.min_iqr_count (
int
) – minimum number of unique values in a column for that column to be considered in calculating the interquartile contour
- Return type
- Returns