5 examples of 'unique values in column pandas' in Python
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673 def _unique(df, columns=None): 674 if isinstance(columns, str): 675 columns = [columns] 676 if not columns: 677 columns = df.columns.tolist() 678 info = {} 679 for col in columns: 680 values = df[col].dropna().values 681 uniques = np.unique(list(_flatten_list(values))).tolist() 682 info[col] = {'count': len(uniques), 'values': uniques} 683 return info
91 def to_unique(self, column_or_columns): 92 self.__convert_column(column_or_columns, FType.unique, None)
242 def unique(self, values): 243 """ 244 Return unique values of Series object. Uniques are returned 245 in order of appearance. 246 Hash table-based unique, therefore does NOT sort. 247 248 Parameters 249 ---------- 250 values : array, list, series or dataframe. 251 The set of values to identify unique occurrences. 252 253 Returns 254 ------- 255 ndarray or ExtensionArray 256 The unique values returned as a NumPy array. 257 258 References 259 ---------- 260 https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.Series.unique.html 261 262 """ 263 operation = begin_operation('unique') 264 unique_ = self._data.unique(values) 265 self.last_operation = end_operation(operation) 266 267 return unique_
280 def nunique(self): 281 """ 282 Find the number of unique values in each column 283 284 Returns 285 ------- 286 A DataFrame 287 """ 288 pass
49 def remove_duplicates(df_or_series): 50 """ Remove duplicate rows or values by keeping the first of each duplicate. 51 52 Parameters 53 ---------- 54 df_or_series : :any:`pandas.DataFrame` or :any:`pandas.Series` 55 Pandas object from which to drop duplicate index values. 56 57 Returns 58 ------- 59 deduplicated : :any:`pandas.DataFrame` or :any:`pandas.Series` 60 The deduplicated pandas object. 61 """ 62 # CalTrack 2.3.2.2 63 return df_or_series[~df_or_series.index.duplicated(keep="first")]