# Obtaining a pandas series by constructing its name as a string

## Question:

I’m looking to construct a series name as a string and get its values for a given index, or set its value for a particular index. For example:

```
def getEntityValue(self, testCase, ent_order):
if ent_order == 1:
return self.testInputEnt1[testCase]
elif ent_order == 2:
return self.testInputEnt2[testCase]
elif ent_order == 3:
return self.testInputEnt3[testCase]
```

Or another one:

```
def setEntityValue(self, testCase, ent_order, value):
if ent_order == 1:
self.testResultEnt1[testCase] = value
elif ent_order == 2:
self.testResultEnt2[testCase] = value
elif ent_order == 3:
self.testResultEnt3[testCase] = value
```

Is there a simpler way of constructing this testInputEntX series in a better way? I’m well aware of the fact that it’s ideal to use other type of data structures where the values 1, 2, 3 can be used as another index and testInputEnt can be a list of series. But I will have to stick to these series for this application.

## Answers:

It could be refactored like:

```
def getEntityValue(self, testCase, ent_order):
return getattr(self, f'testInputEnt{ent_order}')[testCase]
#getattr(self, f'testInputEnt{ent_order}')[testCase] = value
```

But, why don’t you use a `pandas.DataFrame`

instead of N pandas series? You can use `DataFrame.at`

to get and update a cell

```
def getEntityValue(self, testCase, ent_order):
return self.testResultEnt.at[ent_order, testCase]
#self.testResultEnt.at[ent_order, testCase] = value
```