4 examples of 'pandas clean data' in Python

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102def preprocess_data(self, data_df):
103 """returns data_df with catagorical features converted to binary and categories
104 which is a dict whihch maps the original categorical features to the possible
105 types"""
106 out = pd.DataFrame(index=data_df.index) # output dataframe, initially empty
107 categories = {}
108 for col, col_data in data_df.iteritems():
109 # If non-numeric, convert to one or more dummy variables
110 if col_data.dtype == object:
111 categories[col] = list(data_df[col].fillna('Unknown').unique())
112 col_data = pd.get_dummies(col_data, prefix=col, prefix_sep=self.prefix_sep)
113 out = out.join(col_data)
114 [v.remove('Unknown') for v in categories.values() if 'Unknown' in v]
115 return out.fillna('Unknown'), categories
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418def clean_data(self):
419 """Loads and processes the data."""
420
421 if self.mocap_tsv_path is not None:
422 raw_mocap_data_frame = self._load_mocap_data(ignore_hbm=True)
423 mocap_data_frame = self._identify_missing_markers(raw_mocap_data_frame)
424 mocap_data_frame = \
425 self._generate_cortex_time_stamp(mocap_data_frame)
426 mocap_data_frame = \
427 self._interpolate_missing_markers(mocap_data_frame)
428 self.mocap_data = mocap_data_frame
429
430 if self.record_tsv_path is not None:
431 # TODO : A record file that has events but no event mapping in
432 # given in a meta file should do some default event handling
433 # behavior. Keep in mind that D-Flow only allows a certain
434 # number of events (A through F) and multiple counts for the
435 # events.
436 self._extract_events_from_record_file()
437 self.raw_record_data_frame = self._load_record_data()
438
439 if self.mocap_tsv_path is not None and self.record_tsv_path is not None:
440 self.record_data = \
441 self._resample_record_data(self.raw_record_data_frame)
442 self.data = self.mocap_data.join(self.record_data)
443 elif self.mocap_tsv_path is None and self.record_tsv_path is not None:
444 self.data = self.raw_record_data_frame
445 elif self.mocap_tsv_path is not None and self.record_tsv_path is None:
446 self.data = self.mocap_data
447
448 return self.data
33def prep_data(data):
34 data = data.sort_values(by="datetime_full")
35 if "new_brightness" in data.columns:
36 col_sort = [x for x in data.columns if x != "new_brightness"] + ["new_brightness"]
37 data = data.reindex(col_sort, axis=1)
38 return data
80def _clean_columns(df, keep_colnames):
81 new_colnames = []
82 for i,colname in enumerate(df.columns):
83 if colname not in keep_colnames:
84 new_colnames.append(i)
85 else:
86 new_colnames.append(colname)
87 return new_colnames

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