spicy_python_oneliners

dontdothis.py

# create a one-hot embedding for labels from (labels, examples) pairs
examples_labels = [[np.insert(np.zeros(4, dtype=np.int64), i, 1)] * e.shape[0] for i, e in enumerate(examples)]

# filter a list of words for words with numbers in them
df_word[np.vectorize(lambda x: any(map(str.isnumeric, x)))(df_word.word)]

# What's the index of the first nonconsecutive integer stored in a list of strings?
unique_numbers = df_numstrs[np.vectorize(lambda x: x.isnumeric())(df_numstrs.word.astype(int, errors='ignore'))].astype(int).drop_duplicates('word').sort_values('word')['word'].values
np.argmax(np.ediff1d(unique_numbers) > 1)

# Separate named lists of pairwise coordinates into named lists of unpaired coordinates
go_data[plot['name']] = {k: list(zip(*plot['streams'][k])) for k in plot['streams']}

# Make a list of Error classes from a lookup table, then instantiate those errors with data from inside that table
result_divs = [ERROR_KEYS[error['error_id_str']](error['epoch']).render({'type': 'error-msg', 'index': i}) for i, error in enumerate(errors)]