function to open picarro files

atmPy/gases/instruments/picarro.py

@@ -0,0 +1,43 @@
+import types
+import pathlib as pl
+import pandas as pd
+
+def open_file(path, verbose = False):
+    p2f = pl.Path(path)
+
+    if p2f.is_file():
+        p2fs = [p2f]
+
+    elif p2f.is_dir():
+        p2fs = p2f.glob('*')
+
+    elif isinstance(p2f, (types.GeneratorType, list, tuple)):
+        p2fs = p2f
+
+    else:
+        assert(False), f'Type {type(p2fs)} not implemented'
+
+
+
+    df = pd.DataFrame()
+    for p2f in p2fs:
+        if verbose:
+            print(p2f.as_posix())
+        dft = pd.read_csv(p2f)
+        df = pd.concat([df,dft])
+
+    df.index = pd.to_datetime(df.TMSTAMP)
+    df.sort_index(inplace=True)
+    df.index.name = 'time'
+    coords = df.loc[:,['Latitude', 'Longitude', 'Elevation']].iloc[0]
+    df = df.drop(['TMSTAMP','Frac_DOY', 'Frac_time', 'DOY', 'Year', 'Hour', 'Min','Latitude', 'Longitude', 'Elevation'], axis = 1)
+
+    ds = df.to_xarray()
+
+    ds.attrs['coordinates'] = '; '.join([f'{i[0]}:{i[1]}' for i in zip(coords.index, coords.values)])
+    return Picarro(ds)
+
+
+class Picarro(object):
+    def __init__(self, dataset):
+        self.dataset = dataset