# Problem with If- Else Conditiones, How can I resolve it?

## Question:

The problem is that I want that the code shows the graph if the Value of "Recordinaciones" is > 1, and shows "No hay Recorinaciones Dobles" if <1 but I have some strange issue. Hope someone can help me!
The problem is:

The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

Here it’s the code:

``````import pandas as pd

doc = input('Ingresa el nombre del archivo: ')
print(f'Ingresaste {doc}')

df['Recordinaciones'] = df.apply(lambda _: '', axis=1)
df['Cantidad'] = df.apply(lambda _: '', axis=1)

rcs=df[['Cliente','# Externo','Recordinaciones']].groupby(['Cliente','# Externo']).count().reset_index().sort_values(['Recordinaciones'],ascending=False)

Recoordinaciones = rcs['Recordinaciones']
if Recoordinaciones > 1:                        # Pregunto si x es mayor a 1
print(rcs[(rcs['Recordinaciones'] > 1)])
else:
print( "No hay Recorinaciones Dobles")            # cumple, ejecuto esto
``````

Error Message

## Ingresa el nombre del archivo: Test Feb Ingresaste Test Feb

ValueError Traceback (most recent call last)
in
11
12 Recoordinaciones = rcs[‘Recordinaciones’]
—> 13 if Recoordinaciones > 1: # Pregunto si x es mayor a 1
14 print(rcs[(rcs[‘Recordinaciones’] > 1)])
15 else:

/usr/local/lib/python3.7/dist-packages/pandas/core/generic.py in nonzero(self)
1536 def nonzero(self):
1537 raise ValueError(
-> 1538 f"The truth value of a {type(self).name} is ambiguous. "
1539 "Use a.empty, a.bool(), a.item(), a.any() or a.all()."
1540 )

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

try this:

``````Recoordinaciones = rcs.loc[rcs['Recordinaciones'] > 1]['Recordinaciones'].tolist()

if len(Recoordinaciones) == 0:
print('no values >1')
else:
for r in Recoordinaciones:
print(r)
``````

basically the loc function receives a condition with a boolean outcome and locates the rows where this condition is met.

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