In [9]:

    

%matplotlib inline

import json
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import matplotlib
from scipy.stats import ks_2samp

matplotlib.rcParams['axes.grid'] = False
matplotlib.rcParams['axes.facecolor'] = 'white'
matplotlib.rcParams['font.size'] = 13
figures = {}


    

In [11]:

    

data = pd.read_csv('../data/pdr1.csv')
data.lon[data.lon > 270] = data.lon - 360
data['diam'] = 2 * np.sqrt(data.a * data.b)


    

In [12]:

    

low = data[data.prob < .5]
mid = data[(data.prob >= .5) & (data.prob < .8)]
hi = data[data.prob >= .8]

nlow = data[~(data.prob < .5)]
nmid = data[~((data.prob >= .5) & (data.prob < .8))]
nhi = data[~(data.prob >= .8)]


    

In [1]:

    

from bubbly.viewer import BubblyViewer


    

In [2]:

    

bv = BubblyViewer()


    

In [37]:

    

bv.load_longitude(317)


    

In [27]:

    

low_params = low[['lon', 'lon', 'lat', 'diam']].values
hi_params = hi[['lon', 'lon', 'lat', 'diam']].values
mid_params = mid[['lon', 'lon', 'lat', 'diam']].values


    

In [38]:

    

bv.clear()
bv.outline(low_params, color='#D95F02')
bv.outline(mid_params, color='#E6AB02')
bv.outline(hi_params, color='#7570B3')


    

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