Created VS configuration.

pes_to_spec/config.py

@@ -8,6 +8,7 @@ import re
 import numpy as np
 from copy import deepcopy
 import json
+import pandas as pd
 
 class VSConfig(object):
     """
@@ -108,12 +109,13 @@ class VSConfig(object):
         """
         diff = self - other
         for k, v in diff.voltage_mean.items():
-            if np.fabs(v) > 1e-2:
+            if np.fabs(v) > 0.1:
                 return False
         if np.log10(np.fabs(diff.pressure_mean)) > 0.1:
             return False
         if len(diff.gas_active) > 0:
             return False
+        return True
 
     def to_dict(self) -> Dict[str, Union[List[float], float, List[str]]]:
         """
@@ -127,6 +129,21 @@ class VSConfig(object):
                 gas_active=list(self.gas_active))
         return out
 
+    def to_pandas(self) -> pd.DataFrame:
+        """
+        Return as a DataFrame.
+        """
+        out = self.to_dict()
+        data = dict()
+        for k, v in out["voltage_mean"].items():
+            data[f"mean_{k}"] = [v]
+        for k, v in out["voltage_std"].items():
+            data[f"std_{k}"] = [v]
+        data[f"pressure_mean"] = [out["pressure_mean"]]
+        data[f"pressure_std"] = [out["pressure_std"]]
+        data["gas_active"] = ["_".join(out["gas_active"])]
+        return pd.DataFrame(data)
+
     @staticmethod
     def from_dict(data: Dict[str, Union[List[float], float, List[str]]]) -> 'VSConfig':
         """