Reputation: 1789
I would like to do this:
df[(df["Class"] == 'Class1' or 'Class2')]
i.e. find rows with class 1 or 2, but can't find the correct syntax in the documentation.
Upvotes: 0
Views: 67
Reputation: 862611
Better is use isin
:
df[df["Class"].isin(['Class1','Class2'])]
Or use |
for bitwise or
with ()
because priority precedence of operators with boolean indexing
:
df[(df["Class"] == 'Class1') | (df["Class"] == 'Class2')]
Another solutions with query
:
df.query("Class == ['Class1', 'Class2']")
Or:
df.query("Class == 'Class1' | Class == 'Class2'")
#here working or too
#df = df.query("Class == 'Class1' or Class == 'Class2'")
Upvotes: 3
Reputation: 13437
These are the options
df[(df["Class"] == 'Class1') | (df["Class"] =='Class2')]
or
df[df["Class"].isin(['Class1','Class2'])]
Upvotes: 0