Is there a way to select all str, float and int columns in a dataframe, excluding columns holding objects like dicts and class instances? df.select_dtypes(include=[int, float, str]) raises TypeError due to str and df.select_dtypes(include=[int, float, object]) doesn't distinguish between strings and other objects.
import pandas as pd
df = pd.util.testing.makeMixedDataFrame()
df["E"] = df.A.map(lambda x: {"E": x**2})
df.dtypes
df.select_dtypes(include=object)
>>> C E
0 foo1 {'E': 0.0}
1 foo2 {'E': 1.0}
2 foo3 {'E': 4.0}
3 foo4 {'E': 9.0}
4 foo5 {'E': 16.0}
