How to use 'pandas rank within group' in Python

Every line of 'pandas rank within group' code snippets is scanned for vulnerabilities by our powerful machine learning engine that combs millions of open source libraries, ensuring your Python code is secure.

All examples are scanned by Snyk Code

By copying the Snyk Code Snippets you agree to
this disclaimer
235def _ros_group_rank(df, dl_idx, censorship):
236 """
237 Ranks each observation within the data groups.
238
239 In this case, the groups are defined by the record's detection
240 limit index and censorship status.
241
242 Parameters
243 ----------
244 df : pandas.DataFrame
245
246 dl_idx : str
247 Name of the column in the dataframe the index of the
248 observations' corresponding detection limit in the `cohn`
249 dataframe.
250
251 censorship : str
252 Name of the column in the dataframe that indicates that a
253 observation is left-censored. (i.e., True -> censored,
254 False -> uncensored)
255
256 Returns
257 -------
258 ranks : numpy.array
259 Array of ranks for the dataset.
260 """
261
262 # (editted for pandas 0.14 compatibility; see commit 63f162e
263 # when `pipe` and `assign` are available)
264 ranks = df.copy()
265 ranks.loc[:, 'rank'] = 1
266 ranks = (
267 ranks.groupby(by=[dl_idx, censorship])['rank']
268 .transform(lambda g: g.cumsum())
269 )
270 return ranks
Important

Use secure code every time

Secure your code as it's written. Use Snyk Code to scan source code in minutes – no build needed – and fix issues immediately. Enable Snyk Code


Related snippets