Metadata-Version: 2.1
Name: chitti
Version: 0.2.7
Summary: Python utility packages
Home-page: https://github.com/raja-1996
Author: Raja Mohan Reddy
Author-email: rajamohanrdy@gmail.com
License: UNKNOWN
Description: # Utility Functions for python 
        
        ```
        pip install chitti
        ```
        
        ## Pretty print
        ```
        from chitti import pprint, pprint_nl
        brands = ['apple', 'samsung', 'pixel', 'one plus']
        
        pprint(brands)
        OUT:
        apple
        samsung
        pixel
        one plus
        
        pprint_nl(brands)
        OUT:
        apple
        
        samsung
        
        pixel
        
        one plus
        ```
        
        ## Color Words in text
        ```
        from chitti import color_words_in_text
        text = 'camera is awesome and battery is good'
        words = ['camera', 'battery']
        color_words_in_text(text, words, color='green', text_color='white')
        ```
        
        ## Train and Validation split
        
        Splits dataframe into train and val dataframes  
        Split each category into 80% train and  20% val 
        
        ``` 
        from chitti.train_test_split import train_val_split
        
        path = 'data.csv'
        df = pd.read_csv(path)
        
        text_col='Article_clean'
        target_col='NewsType'
        train_df, val_df = train_val_split(df, text_col=text_col, target_col=target_col, size=0.8)
        
        print(train_df[target_col].value_counts())
        print(val_df[target_col].value_counts())
        
        ```
        
        ## Download pretrained word vectors 
        
        Supported Vectors:
        - GloVe.6B.50d 
        - GloVe.6B.100d 
        - GloVe.6B.200d 
        - GloVe.6B.300d 
        - GloVe.42B.300d 
        - GloVe.840B.300d 
        - GloVe.Twitter.25d 
        - GloVe.Twitter.50d 
        - GloVe.Twitter.100d
        - GloVe.Twitter.200d
        
        This will download specified vector and creates two files
        - word_index.pkl => word2index dictionary
        - embedding_matrix.npy => Numpy matrix of size (vocab_size, embedding_size)
        
        ``` 
        from chitti.nlp import download_pretrained_vectors, download_pretrained_vectors_
        download_pretrained_vectors('GloVe.6B.50d')
        download_pretrained_vectors_('glove.6B.50d.txt')
        ```
        
        ## Text cleaning Utils
        ``` 
        from chitti.nlp import stem_words, lemmatize_words
        from chitti.nlp import remove_punctuation, remove_stopwords, space_punctuation
        
        text = 'i, love. you    ..... ,,, !!! ?? ?> >> '
        print(remove_punctuation(text))
        OUT:
        'i love you'
        ```
        
        
        
        
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Description-Content-Type: text/markdown
