In [1]:
import numpy as np
import pandas as pd
In [2]:
parm=np.array(['Blood Pressure','Blood Pressure','Blood Pressure','Sick','Sick','Happy'])
val=np.array(["high","high",'low','No','No','Yes'])
df=pd.DataFrame([parm,val]).T
df.columns=['Parm','Value']
df
Out[2]:
| Parm | Value | |
|---|---|---|
| 0 | Blood Pressure | high |
| 1 | Blood Pressure | high |
| 2 | Blood Pressure | low |
| 3 | Sick | No |
| 4 | Sick | No |
| 5 | Happy | Yes |
In [4]:
# Checking data types
df['Concatenated_String']=df['Parm'] + "_" + df['Value']
df
Out[4]:
| Parm | Value | Concatenated_String | |
|---|---|---|---|
| 0 | Blood Pressure | high | Blood Pressure_high |
| 1 | Blood Pressure | high | Blood Pressure_high |
| 2 | Blood Pressure | low | Blood Pressure_low |
| 3 | Sick | No | Sick_No |
| 4 | Sick | No | Sick_No |
| 5 | Happy | Yes | Happy_Yes |
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