Ways to generate word-frequency plot w/ Python?
1
I have a file that contains a word and the frequency that it occurs. I would like to generate a sort of plot; I'm looking for a sort of 'bubble' like graph. The idea is that the size of these bubbles corresponds to the relative frequencies and the corresponding word is labeled on these bubbles. Does anyone know if this can be done with the standard matplotlib or anything similar?
python plot
asked Nov 28 '18 at 1:45
Ayumu KasuganoAyumu Kasugano
21619
add a comment |
1
I have a file that contains a word and the frequency that it occurs. I would like to generate a sort of plot; I'm looking for a sort of 'bubble' like graph. The idea is that the size of these bubbles corresponds to the relative frequencies and the corresponding word is labeled on these bubbles. Does anyone know if this can be done with the standard matplotlib or anything similar?
python plot
asked Nov 28 '18 at 1:45
Ayumu KasuganoAyumu Kasugano
21619
add a comment |
1
1
1
I have a file that contains a word and the frequency that it occurs. I would like to generate a sort of plot; I'm looking for a sort of 'bubble' like graph. The idea is that the size of these bubbles corresponds to the relative frequencies and the corresponding word is labeled on these bubbles. Does anyone know if this can be done with the standard matplotlib or anything similar?
python plot
asked Nov 28 '18 at 1:45
Ayumu KasuganoAyumu Kasugano
21619
I have a file that contains a word and the frequency that it occurs. I would like to generate a sort of plot; I'm looking for a sort of 'bubble' like graph. The idea is that the size of these bubbles corresponds to the relative frequencies and the corresponding word is labeled on these bubbles. Does anyone know if this can be done with the standard matplotlib or anything similar?
python plot
python plot
asked Nov 28 '18 at 1:45
Ayumu KasuganoAyumu Kasugano
21619
asked Nov 28 '18 at 1:45
Ayumu KasuganoAyumu Kasugano
21619
asked Nov 28 '18 at 1:45
Ayumu KasuganoAyumu Kasugano
21619
asked Nov 28 '18 at 1:45
Ayumu KasuganoAyumu Kasugano
21619
asked Nov 28 '18 at 1:45
Ayumu KasuganoAyumu Kasugano
21619
21619
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
1
There are lots of libraries out there.
Here's an example from WordCloud
#!/usr/bin/env python
"""
Minimal Example
===============
Generating a square wordcloud from the US constitution using default arguments.
"""
import os
from os import path
from wordcloud import WordCloud
# using word frequency list:
#word_freq = open("/tmp/word_freq.txt").read()
# say it looks like this:
word_freq = {'apple': 4, 'banana': 1, 'melon': 2, 'strawberry': 3, 'grape': 8}
text = " ".join([(k + " ")*v for k,v in word_freq.items()])
# Generate a word cloud image
wordcloud = WordCloud().generate(text)
# Display the generated image:
# the matplotlib way:
import matplotlib.pyplot as plt
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
# lower max_font_size
wordcloud = WordCloud(max_font_size=40).generate(text)
plt.figure()
plt.imshow(wordcloud, interpolation="bilinear")
plt.axis("off")
plt.show()
# The pil way (if you don't have matplotlib)
# image = wordcloud.to_image()
# image.show()
WordCloud from different text:
answered Nov 28 '18 at 1:55
keithpjolleykeithpjolley
1,060915
Yes this looks nice, but this assumes that I have the entire text. All I have are the words and the frequency. Is there a way to work with this besides generating a dummy file?
– Ayumu Kasugano
Nov 28 '18 at 2:00
add a comment |
0
Let's say you have the frequency data in dict data
Following code should work
import os
from os import path
from wordcloud import WordCloud
import matplotlib.pyplot as plt
data = {
'Bla': 10,
'Bl': 2,
'cold' : 9,
'random': 6
}
wordcloud = WordCloud(max_font_size=40).generate(" ".join([(k + ' ') * v for k,v in data.items()]))
plt.figure()
plt.imshow(wordcloud, interpolation="bilinear")
plt.axis("off")
plt.show()
answered Nov 28 '18 at 2:17
KrishnaKrishna
6021515
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
1
There are lots of libraries out there.
Here's an example from WordCloud
#!/usr/bin/env python
"""
Minimal Example
===============
Generating a square wordcloud from the US constitution using default arguments.
"""
import os
from os import path
from wordcloud import WordCloud
# using word frequency list:
#word_freq = open("/tmp/word_freq.txt").read()
# say it looks like this:
word_freq = {'apple': 4, 'banana': 1, 'melon': 2, 'strawberry': 3, 'grape': 8}
text = " ".join([(k + " ")*v for k,v in word_freq.items()])
# Generate a word cloud image
wordcloud = WordCloud().generate(text)
# Display the generated image:
# the matplotlib way:
import matplotlib.pyplot as plt
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
# lower max_font_size
wordcloud = WordCloud(max_font_size=40).generate(text)
plt.figure()
plt.imshow(wordcloud, interpolation="bilinear")
plt.axis("off")
plt.show()
# The pil way (if you don't have matplotlib)
# image = wordcloud.to_image()
# image.show()
WordCloud from different text:
answered Nov 28 '18 at 1:55
keithpjolleykeithpjolley
1,060915
Yes this looks nice, but this assumes that I have the entire text. All I have are the words and the frequency. Is there a way to work with this besides generating a dummy file?
– Ayumu Kasugano
Nov 28 '18 at 2:00
add a comment |
1
There are lots of libraries out there.
Here's an example from WordCloud
#!/usr/bin/env python
"""
Minimal Example
===============
Generating a square wordcloud from the US constitution using default arguments.
"""
import os
from os import path
from wordcloud import WordCloud
# using word frequency list:
#word_freq = open("/tmp/word_freq.txt").read()
# say it looks like this:
word_freq = {'apple': 4, 'banana': 1, 'melon': 2, 'strawberry': 3, 'grape': 8}
text = " ".join([(k + " ")*v for k,v in word_freq.items()])
# Generate a word cloud image
wordcloud = WordCloud().generate(text)
# Display the generated image:
# the matplotlib way:
import matplotlib.pyplot as plt
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
# lower max_font_size
wordcloud = WordCloud(max_font_size=40).generate(text)
plt.figure()
plt.imshow(wordcloud, interpolation="bilinear")
plt.axis("off")
plt.show()
# The pil way (if you don't have matplotlib)
# image = wordcloud.to_image()
# image.show()
WordCloud from different text:
answered Nov 28 '18 at 1:55
keithpjolleykeithpjolley
1,060915
Yes this looks nice, but this assumes that I have the entire text. All I have are the words and the frequency. Is there a way to work with this besides generating a dummy file?
– Ayumu Kasugano
Nov 28 '18 at 2:00
add a comment |
1
1
1
There are lots of libraries out there.
Here's an example from WordCloud
#!/usr/bin/env python
"""
Minimal Example
===============
Generating a square wordcloud from the US constitution using default arguments.
"""
import os
from os import path
from wordcloud import WordCloud
# using word frequency list:
#word_freq = open("/tmp/word_freq.txt").read()
# say it looks like this:
word_freq = {'apple': 4, 'banana': 1, 'melon': 2, 'strawberry': 3, 'grape': 8}
text = " ".join([(k + " ")*v for k,v in word_freq.items()])
# Generate a word cloud image
wordcloud = WordCloud().generate(text)
# Display the generated image:
# the matplotlib way:
import matplotlib.pyplot as plt
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
# lower max_font_size
wordcloud = WordCloud(max_font_size=40).generate(text)
plt.figure()
plt.imshow(wordcloud, interpolation="bilinear")
plt.axis("off")
plt.show()
# The pil way (if you don't have matplotlib)
# image = wordcloud.to_image()
# image.show()
WordCloud from different text:
answered Nov 28 '18 at 1:55
keithpjolleykeithpjolley
1,060915
There are lots of libraries out there.
Here's an example from WordCloud
#!/usr/bin/env python
"""
Minimal Example
===============
Generating a square wordcloud from the US constitution using default arguments.
"""
import os
from os import path
from wordcloud import WordCloud
# using word frequency list:
#word_freq = open("/tmp/word_freq.txt").read()
# say it looks like this:
word_freq = {'apple': 4, 'banana': 1, 'melon': 2, 'strawberry': 3, 'grape': 8}
text = " ".join([(k + " ")*v for k,v in word_freq.items()])
# Generate a word cloud image
wordcloud = WordCloud().generate(text)
# Display the generated image:
# the matplotlib way:
import matplotlib.pyplot as plt
plt.imshow(wordcloud, interpolation='bilinear')
plt.axis("off")
# lower max_font_size
wordcloud = WordCloud(max_font_size=40).generate(text)
plt.figure()
plt.imshow(wordcloud, interpolation="bilinear")
plt.axis("off")
plt.show()
# The pil way (if you don't have matplotlib)
# image = wordcloud.to_image()
# image.show()
WordCloud from different text:
answered Nov 28 '18 at 1:55
keithpjolleykeithpjolley
1,060915
edited Nov 28 '18 at 2:22
answered Nov 28 '18 at 1:55
keithpjolleykeithpjolley
1,060915
answered Nov 28 '18 at 1:55
keithpjolleykeithpjolley
1,060915
answered Nov 28 '18 at 1:55
keithpjolleykeithpjolley
1,060915
1,060915
Yes this looks nice, but this assumes that I have the entire text. All I have are the words and the frequency. Is there a way to work with this besides generating a dummy file?
– Ayumu Kasugano
Nov 28 '18 at 2:00
add a comment |
Yes this looks nice, but this assumes that I have the entire text. All I have are the words and the frequency. Is there a way to work with this besides generating a dummy file?
– Ayumu Kasugano
Nov 28 '18 at 2:00
Yes this looks nice, but this assumes that I have the entire text. All I have are the words and the frequency. Is there a way to work with this besides generating a dummy file?
– Ayumu Kasugano
Nov 28 '18 at 2:00
Yes this looks nice, but this assumes that I have the entire text. All I have are the words and the frequency. Is there a way to work with this besides generating a dummy file?
– Ayumu Kasugano
Nov 28 '18 at 2:00
add a comment |
0
Let's say you have the frequency data in dict data
Following code should work
import os
from os import path
from wordcloud import WordCloud
import matplotlib.pyplot as plt
data = {
'Bla': 10,
'Bl': 2,
'cold' : 9,
'random': 6
}
wordcloud = WordCloud(max_font_size=40).generate(" ".join([(k + ' ') * v for k,v in data.items()]))
plt.figure()
plt.imshow(wordcloud, interpolation="bilinear")
plt.axis("off")
plt.show()
answered Nov 28 '18 at 2:17
KrishnaKrishna
6021515
add a comment |
0
Let's say you have the frequency data in dict data
Following code should work
import os
from os import path
from wordcloud import WordCloud
import matplotlib.pyplot as plt
data = {
'Bla': 10,
'Bl': 2,
'cold' : 9,
'random': 6
}
wordcloud = WordCloud(max_font_size=40).generate(" ".join([(k + ' ') * v for k,v in data.items()]))
plt.figure()
plt.imshow(wordcloud, interpolation="bilinear")
plt.axis("off")
plt.show()
answered Nov 28 '18 at 2:17
KrishnaKrishna
6021515
add a comment |
0
0
0
Let's say you have the frequency data in dict data
Following code should work
import os
from os import path
from wordcloud import WordCloud
import matplotlib.pyplot as plt
data = {
'Bla': 10,
'Bl': 2,
'cold' : 9,
'random': 6
}
wordcloud = WordCloud(max_font_size=40).generate(" ".join([(k + ' ') * v for k,v in data.items()]))
plt.figure()
plt.imshow(wordcloud, interpolation="bilinear")
plt.axis("off")
plt.show()
answered Nov 28 '18 at 2:17
KrishnaKrishna
6021515
Let's say you have the frequency data in dict data
Following code should work
import os
from os import path
from wordcloud import WordCloud
import matplotlib.pyplot as plt
data = {
'Bla': 10,
'Bl': 2,
'cold' : 9,
'random': 6
}
wordcloud = WordCloud(max_font_size=40).generate(" ".join([(k + ' ') * v for k,v in data.items()]))
plt.figure()
plt.imshow(wordcloud, interpolation="bilinear")
plt.axis("off")
plt.show()
answered Nov 28 '18 at 2:17
KrishnaKrishna
6021515
answered Nov 28 '18 at 2:17
KrishnaKrishna
6021515
answered Nov 28 '18 at 2:17
KrishnaKrishna
6021515
answered Nov 28 '18 at 2:17
KrishnaKrishna
6021515
6021515
add a comment |
add a comment |
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