panda select rows where column value inferior to
df.loc[df['column_name'] == some_value]panda select rows where column value inferior to
df.loc[df['column_name'] == some_value]panda dataframe find value
df.loc[df['column_name'] == some_value]pandas dataframe get values of a column by name
In [4]: ages = titanic["Age"]
In [5]: ages.head()
Out[5]:
0 22.0
1 38.0
2 26.0
3 35.0
4 35.0
Name: Age, dtype: float64Copyright © 2021 Codeinu
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