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Description:

pandasnlp 0.6.0

Pandas NLP
It's an extension for pandas providing some NLP functionalities for strings.

Setup
Requirements

python >= 3.8

Installation
Execute:
pip install -U pandas-nlp

To install the default spacy English model:
spacy install en_core_web_md

Key features
Language detection
import pandas as pd
import pandas_nlp

pandas_nlp.register()

df = pd.DataFrame({
"id": [1, 2, 3, 4, 5],
"text": [
"I like cats",
"Me gustan los gatos",
"M'agraden els gats",
"J'aime les chats",
"Ich mag Katzen",
],
})
df.text.nlp.language()

Output
0 en
1 es
2 ca
3 fr
4 de
Name: text_language, dtype: object

with confidence:
df.text.nlp.language(confidence=True).apply(pd.Series)

Output
language confidence
0 en 0.897090
1 es 0.982045
2 ca 0.999806
3 fr 0.999713
4 de 0.997995

String embedding
import pandas as pd
import pandas_nlp

pandas_nlp.register()

df = pd.DataFrame(
{"id": [1, 2, 3], "text": ["cat", "dog", "violin"]}
)
df.text.nlp.embedding()

Output
0 [3.7032, 4.1982, -5.0002, -11.322, 0.031702, -...
1 [1.233, 4.2963, -7.9738, -10.121, 1.8207, 1.40...
2 [-1.4708, -0.73871, 0.49911, -2.1762, 0.56754,...
Name: text_embedding, dtype: object

Closest concept
import pandas as pd
import pandas_nlp

pandas_nlp.register()

themed = pd.DataFrame({
"id": [0, 1, 2, 3],
"text": [
"My computer is broken",
"I went to a piano concert",
"Chocolate is my favourite",
"Mozart played the piano"
]
})

themed.text.nlp.closest(["music", "informatics", "food"])

Output
0 informatics
1 music
2 food
3 music
Name: text_closest, dtype: object

Sentence extraction
import pandas as pd
import pandas_nlp

pandas_nlp.register()

df = pd.DataFrame(
{"id": [0, 1], "text": ["Hello, how are you?", "Code. Sleep. Eat"]}
)
df.text.nlp.sentences()

Output
0 [Hello, how are you?]
1 [Code., Sleep., Eat]
Name: text_sentences, dtype: object