graphs.py 文件源码

def markGaps(self):
        """Produces dictionary of list of gaps in time series data based on the presence of nan values;
        used for gantt plotting

        :returns: dateranges; a dictionary with station names as keys and lists of begin and end dates as values
        """
        df = self.data
        stations = self.stations

        dateranges = {}
        for station in stations:
            dateranges[station] = []
            first = df.ix[:, station].first_valid_index()
            last = df.ix[:, station].last_valid_index()
            records = df.ix[first:last, station]
            #dateranges[station].append(pd.to_datetime(first))
            for i in range(len(records) - 1):
                if pd.isnull(records[i + 1]) and pd.notnull(records[i]):
                    dateranges[station].append(pd.to_datetime(records.index)[i])
                elif pd.isnull(records[i]) and pd.notnull(records[i + 1]):
                    dateranges[station].append(pd.to_datetime(records.index)[i])
            dateranges[station].append(pd.to_datetime(last))
        return dateranges