TypeError: only list-like objects are allowed to be passed to isin(), you passed a [int]

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-31-29405b792f60> in <module>
      2 for yr in yr_list[:2]:
      3     print(type(yr))
----> 4     temp_df = nifty_data[nifty_data['year'].isin(yr)]
      5     print(temp_df.head())

~\.conda\envs\py36\lib\site-packages\pandas\core\series.py in isin(self, values)
   4683         Name: animal, dtype: bool
   4684         """
-> 4685         result = algorithms.isin(self, values)
   4686         return self._constructor(result, index=self.index).__finalize__(
   4687             self, method="isin"

~\.conda\envs\py36\lib\site-packages\pandas\core\algorithms.py in isin(comps, values)
    416     if not is_list_like(values):
    417         raise TypeError(
--> 418             "only list-like objects are allowed to be passed "
    419             f"to isin(), you passed a [{type(values).__name__}]"
    420         )

TypeError: only list-like objects are allowed to be passed to isin(), you passed a [int]

This occurs when trying to perform an operation that requires a list as an input but you pass an element of a list. 

Can typically occur when trying to subset a dataframe multiple times in a loop by using each element of the list a variable to subset upon. 

Solution is to input the variable in square brackets - list format. See example below of correct and incorrect code

yr_list = [2005, 2006, 2007,2008]

# Incorect example - look for ".isin(yr)"
for yr in yr_list:
    print(type(yr))
    temp_df = nifty_data[nifty_data['year'].isin(yr)]
    print(temp_df.head()) 

This will result in the error above

# Correct example - with square brackets added ".isin([yr])"
for yr in yr_list:
    print(type(yr))
    temp_df = nifty_data[nifty_data['year'].isin([yr])]
    print(temp_df.head())