While comparing a pandas dataframe with None,
import pandas as pd df = pd.DataFrame() # Note that the dataframe is empty but it does not matter for this example. if df == None: pass # do nothing else: df.describe() |
I got this error:
ValueError: The truth value of an array is ambiguous. Use a.empty, a.any() or a.all(). |
I could go around the problen using the isinstance command:
import pandas as pd df = pd.DataFrame() # Note that the dataframe is empty but it does not matter for this example. if isinstance(df, types.NoneType) == True: #equivalent to if isinstance(df, pd.DataFrame) == False pass # do nothing else: df.describe() |
In fact, the first code could be changed just slightly by replacing the comparison operator with the is keyword:
if df is None: pass # do nothing else: df.describe() |
I could have spared some time by looking carefully into the Pandas documentation
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