pept.plots.histogram#
- pept.plots.histogram(data, nbins=None, histnorm='percent', marginal='box', xlim=None, ylim=None, xaxis_title=None, yaxis_title=None, **kwargs)[source]#
Create histogram of data with PEPT-relevant defaults for plotly.express.histogram.
You can check the official documentation for all available options: https://plotly.github.io/plotly.py-docs/generated/plotly.express.histogram.html.
- Parameters
- data(N,) numpy.ndarray-like
A 1D vector of values to histogram.
- nbins
int, optional Positive integer. Sets the number of bins.
- histnorm
str,default“percent” One of ‘percent’, ‘probability’, ‘density’, or ‘probability density’ If None, the output of histfunc is used as is. If ‘probability’, the output of histfunc for a given bin is divided by the sum of the output of histfunc for all bins. If ‘percent’, the output of histfunc for a given bin is divided by the sum of the output of histfunc for all bins and multiplied by 100. If ‘density’, the output of histfunc for a given bin is divided by the size of the bin. If ‘probability density’, the output of histfunc for a given bin is normalized such that it corresponds to the probability that a random event whose distribution is described by the output of histfunc will fall into that bin.
- marginal
str,default“box” One of ‘rug’, ‘box’, ‘violin’, or ‘histogram’. If set, a subplot is drawn alongside the main plot, visualizing the distribution.
- xlim
listoftwonumbers, optional If provided, overrides auto-scaling on the x-axis in cartesian coordinates.
- ylim
listoftwonumbers, optional If provided, overrides auto-scaling on the y-axis in cartesian coordinates.
- xaxis_title
str, optional X-axis label.
- yaxis_title
str, optional Y-axis label.