from builtins import zip
import numpy as np
import parcel_model as pm

import matplotlib.pyplot as plt
import seaborn as sns

def plot_distribution(aer, aer_kwargs={},
                      ax=None, **kwargs):
    """ Generate a comparison plot of a given aerosol or
    droplet distribution

    Parameters
    ----------
    aer : `AerosolSpecies`
        The container class for the aerosol
    aer_kwargs : dict
        A dictionary of arguments to pass to the matplotlib
        function which plots the binned distribution
    ax : Axis
        The axes object to plot on

    """

    if ax is None:
        raise ValueError("Must provide axes instance for plotting.")

    ## Add some basic aer_kwargs if not provided
    if not 'color' in aer_kwargs: aer_kwargs['color'] = 'g'
    if not 'alpha' in aer_kwargs: aer_kwargs['alpha'] = 0.5

    rl, rr = aer.rs[0], aer.rs[-1]
    r_left = aer.rs[:-1]
    r_width = aer.rs[1:] - r_left
    r_mean = np.sqrt(aer.rs[1:]*r_left)
    bin_height = aer.Nis/1e6
    bars = ax.bar(r_left, bin_height, width=r_width, **aer_kwargs)
    
    legend_objects = [(bars[0], "%s bins" % aer.species), ]
    
    handles, labels = list(zip(*legend_objects))
    ax.legend(handles, labels, loc='upper right')

    ax.semilogx()
    ax.set_xlim([rl, rr])

    ax.set_xlabel("$r$ ($\mu$m)")
    ax.set_ylabel("Number Concentration (cm$^{-3}$)")
from builtins import zip
import numpy as np
import parcel_model as pm

import matplotlib.pyplot as plt
import seaborn as sns

def plot_distribution(aer, aer_kwargs={},
                      ax=None, **kwargs):
    """ Generate a comparison plot of a given aerosol or
    droplet distribution

    Parameters
    ----------
    aer : `AerosolSpecies`
        The container class for the aerosol
    aer_kwargs : dict
        A dictionary of arguments to pass to the matplotlib
        function which plots the binned distribution
    ax : Axis
        The axes object to plot on

    """

    if ax is None:
        raise ValueError("Must provide axes instance for plotting.")

    ## Add some basic aer_kwargs if not provided
    if not 'color' in aer_kwargs: aer_kwargs['color'] = 'g'
    if not 'alpha' in aer_kwargs: aer_kwargs['alpha'] = 0.5

    rl, rr = aer.rs[0], aer.rs[-1]
    r_left = aer.rs[:-1]
    r_width = aer.rs[1:] - r_left
    r_mean = np.sqrt(aer.rs[1:]*r_left)
    bin_height = aer.Nis/1e6
    bars = ax.bar(r_left, bin_height, width=r_width, **aer_kwargs)
    
    legend_objects = [(bars[0], "%s bins" % aer.species), ]
    
    handles, labels = list(zip(*legend_objects))
    ax.legend(handles, labels, loc='upper right')

    ax.semilogx()
    ax.set_xlim([rl, rr])

    ax.set_xlabel("$r$ ($\mu$m)")
    ax.set_ylabel("Number Concentration (cm$^{-3}$)")
Generate a comparison plot of a given aerosol or     droplet distribution      Parameters     ----------     aer : `AerosolSpecies`         The container class for the aerosol     aer_kwargs : dict         A dictionary of arguments to pass to the matplotlib         function which plots the binned distribution     ax : Axis         The axes object to plot on ## Add some basic aer_kwargs if not provided