3 examples of 'pandas read_txt' in Python

37
def readcsv(filename, header=True):
38
    return pd.read_csv(filename, header=None) if not header else pd.read_csv(filename)

10
def __read(filename):
11
    field_names = ['date', 'value', 'metaID']
12
    entry_format = '<qdi' # long, double, int; See field names above.
13
    entry_size = calcsize(entry_format)
14
15
    if not os.path.exists(filename):
16
        return pd.DataFrame(None, columns = ['date', 'value', 'metaID'])
17
18
    records = np.fromfile(filename, dtype=np.dtype({'names':field_names, 'formats': entry_format[1:]}))
19
20
    if len(records) == 0: return pd.DataFrame(None, columns = ['date', 'value', 'metaID'])
21
22
    df = pd.DataFrame(records, columns = field_names)
23
    df['date'] = pd.to_datetime(df['date'], unit='s')
24
    df = df.set_index('date')
25
26
    meta_ids = df.metaID
27
    df.loc[df.metaID == METADATA_MISSING_VALUE] = np.nan
28
    df.metaID = meta_ids
29
30
    return df

8
def read_txt(txt):
9
    f = open(txt, 'r')
10
    lines = f.readlines()
11
    f.close()
12
    return [tmp.strip() for tmp in lines]