opcsim.plots.cdfplot¶

opcsim.plots.cdfplot(distribution, ax=None, weight='number', plot_kws={}, fig_kws={}, \*\*kwargs)¶

Plot the CDF of a particle size distribution.

Parameters

distributionvalid AerosolDistribution: An aerosol distribution with the method pdf that can be evaluated at an array of particle diameters.
weight{‘number’ | ‘surface’ | ‘volume’ | ‘mass’}: Choose how to weight the pdf. Default is number.
axmatplotlib axis: If an axis is provided, the histogram will be plotted on this axis. Otherwise, a new axis object will be created.
plot_kwsdict: Optional keyword arguments to include. They are sent as an argument to the matplotlib bar plot.
fig_kwsdict: Optional keyword arguments to include for the figure.

Returns

axmatplotlib axis object

Examples

Plot the number-weighted Urban aerosol distribution

>>> import opcsim, seaborn as sns
>>> d = opcsim.load_distribution("Urban")
>>> ax = opcsim.plots.cdfplot(d)
>>> ax.set_title("Urban Aerosol Distribution", fontsize=16)
>>> sns.despine()

Let’s plot the volume weighted version

>>> ax = opcsim.plots.cdfplot(d, weight='volume')
>>> ax.set_title("Volume Weighted Urban Aerosol Distribution", fontsize=16)
>>> ax.legend(loc='best')
>>> sns.despine()