Mamajek_Table.py 文件源码

def __init__(self, filename=TABLE_FILENAME):
        MS = SpectralTypeRelations.MainSequence()

        # Read in the table.
        colspecs=[[0,7], [7,14], [14,21], [21,28], [28,34], [34,40], [40,47], [47,55],
                  [55,63], [63,70], [70,78], [78,86], [86,94], [94,103], [103,110],
                  [110,116], [116,122], [122,130], [130,137], [137,144], [144,151],
                  [151,158]]
        mam_df = pd.read_fwf(filename, header=20, colspecs=colspecs, na_values=['...'])[:92]

        # Strip the * from the logAge column. Probably shouldn't but...
        mam_df['logAge'] = mam_df['logAge'].map(lambda s: s.strip('*') if isinstance(s, basestring) else s)

        # Convert everything to floats
        for col in mam_df.columns:
            mam_df[col] = pd.to_numeric(mam_df[col], errors='ignore')

        # Add the spectral type number for interpolation
        mam_df['SpTNum'] = mam_df['SpT'].map(MS.SpT_To_Number)

        self.mam_df = mam_df