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isin() function check whether values are contained in Series. It returns a boolean Series showing whether each element in the Series matches an element in the passed sequence of values exactly.
Pandas DataFrame is two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). A Data frame is a two-dimensional data structure, i.e., data is aligned in a tabular fashion in rows and columns.
Pandas DataFrame is a two-dimensional size-mutable, potentially heterogeneous tabular data structure with labeled axes (rows and columns). Arithmetic operations align on both row and column labels. It can be thought of as a dict-like container for Series objects.
Use isinstance, nothing else:
if isinstance(x, pd.DataFrame):
... # do something
PEP8 says explicitly that isinstance is the preferred way to check types
No: type(x) is pd.DataFrame
No: type(x) == pd.DataFrame
Yes: isinstance(x, pd.DataFrame)
And don't even think about
if obj.__class__.__name__ = 'DataFrame':
expect_problems_some_day()
isinstance handles inheritance (see What are the differences between type() and isinstance()?). For example, it will tell you if a variable is a string (either str or unicode), because they derive from basestring)
if isinstance(obj, basestring):
i_am_string(obj)
Specifically for pandas DataFrame objects:
import pandas as pd
isinstance(var, pd.DataFrame)
Use the built-in isinstance() function.
import pandas as pd
def f(var):
if isinstance(var, pd.DataFrame):
print("do stuff")
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