Comments (2)
like something like this
from chatparsers import WhatsAppParser
import visualizations
file_path = "" #write the filepath here
parser = WhatsAppParser(filepath)
parser.parse_file_into_df()
print(parser.df.describe())
visualizations.sunburst(parser.df)
stopwords = ['media', 'omitted', 'missed', 'voice', 'call']
visualizations.wordcloud(parser.df, stopwords)
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This is a valid point, but it is planned to upload this project to PyPI soon. It will then be installable via pip, which circumvents the need of cloning from the GitHub repo.
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Related Issues (20)
- Add minimal documentation HOT 1
- Can't run the parser HOT 6
- CLI to parse into csv files HOT 8
- Examples for Natural Language Processing HOT 3
- Add unit test for Command Line Interface HOT 3
- Adding in ReadMe to use double backslashes or raw string for FILEPATH HOT 2
- Any Other language translated README HOT 4
- CLI for visualisation HOT 2
- Inferring dates fails for text containing [] and - leading to a ValueError on line 186 of chatparsers.py HOT 1
- Graphs for each person in conversation HOT 4
- ValueError(f"Invalid date format: {line}") HOT 1
- Wordcloud also displays non printable characters (Workaround) HOT 5
- ValueError: Unknown projection 'radar'
- TypeError: isinstance is missing 1 argument in the chatparser HOT 1
- Matrix support
- Group chat Support HOT 2
- ValueError: not enough values to unpack (expected 2, got 1) HOT 7
- Single graph instead of two HOT 2
- Refactor telegram parser HOT 3
- Refactor dataframe wrangling in calendar heat map
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