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Data Selection and Renaming
Method add_prefixMethod add_suffixMethod alignMethod at_timeMethod between_timeMethod dropMethod drop_duplicatesMethod duplicatedMethod equalsMethod filterMethod firstMethod getMethod headMethod idxmaxMethod idxminMethod lastMethod lookupMethod queryMethod reindexMethod renameMethod rename_axisMethod reset_indexMethod sampleMethod select_dtypesMethod set_axisMethod set_indexMethod tailMethod takeMethod truncate
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Pandas DataFrame | lookup method
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schedule Mar 10, 2022
Last updated Python●Pandas
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expand_more Pandas DataFrame.lookup(~) method extracts individual values from the source DataFrame in a single Numpy Array.
Parameters
1. row_labels | sequence of strings
The row labels of the values you want to fetch.
2. col_labels | sequence of strings
The column label of the values you want to fetch.
Return Value
A Numpy array of values.
Examples
Consider the following DataFrame:
df = pd.DataFrame({"A":[5,8],"B":[6,7],"C":[2,9]}, index=["a","b"])df
A B Ca 5 6 2b 8 7 9
To fetch the values at (a,B) and (b,C):
df.lookup(row_labels=["a","b"], col_labels=["B","C"])
array([6, 9])
Published by Isshin Inada
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Official Pandas Documentation
https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.lookup.html
