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fig = plt.figure(figsize=(20,10))

wmap = Basemap(projection='moll',lon_0=0,resolution='c')
wmap.drawmapboundary(fill_color='lightskyblue') 
wmap.drawcountries()
wmap.fillcontinents(color='darkseagreen',lake_color='lightskyblue',zorder=0)
wmap.drawcoastlines()
wmap.scatter(longarray, latarray,  latlon=True, color='lime', s=20)
plt.show()

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fig = plt.figure(figsize=(20,10))

wmap = Basemap(projection='ortho',lon_0=-80,lat_0=60,resolution='l')
wmap.drawmapboundary(fill_color='lightskyblue')
wmap.drawcountries()
wmap.fillcontinents(color='darkseagreen',lake_color='lightskyblue',zorder=0)
wmap.drawcoastlines()
wmap.scatter(longarray, latarray,  latlon=True, color='lime', s=20)

plt.show()

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import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
import numpy as np
import pandas as pd 

# Import Data
data = pd.read_csv('scrubbed.csv')

# Separate Latitude and Longitude, Re-format, Clean
df = pd.DataFrame()

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wmap.scatter(longarray, latarray,  latlon=True, color='lime', s=20)
plt.title('Reported UFO Sightings')
plt.show()

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latarray = np.array(df['lat'])
longarray = np.array(df['long'])

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wmap = Basemap(projection='mill', llcrnrlat = -90, urcrnrlat = 90, llcrnrlon = -180, urcrnrlon = 180, resolution='c')
wmap.drawcoastlines()

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fig = plt.figure(figsize=(20,10))
plt.rcParams.update({'font.size': 20})

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df = pd.DataFrame()
df['lat'] = pd.to_numeric(data['latitude'], errors='coerce')
df['long'] = pd.to_numeric(data['longitude '], errors='coerce')
df = df.dropna()

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import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap
import numpy as np
import pandas as pd 

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import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from wordcloud import WordCloud
from PIL import Image

data_dropped = data.dropna()
text = data_dropped['shape'].values
string_text = ' '.join(text)