Visual¶
Images¶
In [1]:
import requests
from PIL import Image
from io import BytesIO
response = requests.get('https://data-science-workshop.solsort.com/image2.jpg')
src = Image.open(BytesIO(response.content))
src.resize([300,200])
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wordcloud¶
In [2]:
%matplotlib inline
!pip install wordcloud
In [3]:
from wordcloud import WordCloud
wordcloud = WordCloud(
width=400,
height=300,
max_words=4000,
stopwords=["Project", "Gutenberg"],
background_color= 'white',
max_font_size=200,
random_state=123
).generate_from_frequencies({
"hello": 100,
"world": 50,
"this": 30,
"is": 30,
"a": 40,
"demo": 100,
"of": 10,
"wordcloud": 100
})
wordcloud.to_image()
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graphs¶
In [4]:
!pip install plotly
In [5]:
from plotly.offline import download_plotlyjs, init_notebook_mode, iplot
init_notebook_mode(connected=True)
from plotly import graph_objs
data = [graph_objs.Bar(x=['a','b','c'], y=[3,1,2])]
iplot(data)
More images¶
In [6]:
from PIL import Image
from io import BytesIO
response = requests.get('https://data-science-workshop.solsort.com/image3.jpg')
src = Image.open(BytesIO(response.content))
In [7]:
src = src.resize([300,200], Image.ANTIALIAS)
display(src)
In [8]:
image = Image.new('RGB', (600, 200))
display(image)
In [9]:
image.paste(src, [300,0])
display(image)
In [10]:
from PIL import ImageOps
ImageOps.mirror(src)
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In [11]:
image.paste(ImageOps.mirror(src), [0,0])
display(image)
Image effects and filters¶
In [12]:
src.quantize(colors=30)
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In [13]:
src.effect_spread(5)
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In [14]:
src.resize([60,40]).resize([300,200])
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In [15]:
from PIL import ImageFilter
src.filter(ImageFilter.EDGE_ENHANCE)
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Image Pixels¶
In [16]:
response = requests.get('https://data-science-workshop.solsort.com/image1.jpg')
src = Image.open(BytesIO(response.content))
src = src.resize([150,100])
display(src)
r = [];
g = [];
b = [];
cols = [];
for x in range(0, src.size[0]):
for y in range(0, src.size[1]):
px = src.getpixel((x,y))
r.append(px[0])
g.append(px[1])
b.append(px[2])
cols.append("rgb" + str(px))
plot = graph_objs.Scatter3d(x=r,
y=g,
z=b,
mode="markers",
marker={
"size": 1,
"color": cols
})
iplot([plot])
