filter dataframe by two columns
#tl;dr use the '&' opperator and not the word 'and'
print(df)
OUTPUT
Name Age
0 Joe 23
1 Tom 54
2 Joe 34
3 Tom 42
4 Joe 23
5 Tom 54
6 Joe 34
7 Tom 42
tom_and_42 = df[(df["Name"]=="Tom") & (df["Age"]==42)]
print(tom_and_42)
OUTPUT
Name Age
3 Tom 42
7 Tom 42how to create a subset of two columns in a dataframe
In [2]: titanic = pd.read_csv("data/titanic.csv")
In [3]: titanic.head()
Out[3]:
PassengerId Survived Pclass Name Sex Age SibSp Parch Ticket Fare Cabin Embarked
0 1 0 3 Braund, Mr. Owen Harris male 22.0 1 0 A/5 21171 7.2500 NaN S
1 2 1 1 Cumings, Mrs. John Bradley (Florence Briggs Th... female 38.0 1 0 PC 17599 71.2833 C85 C
2 3 1 3 Heikkinen, Miss. Laina female 26.0 0 0 STON/O2. 3101282 7.9250 NaN S
3 4 1 1 Futrelle, Mrs. Jacques Heath (Lily May Peel) female 35.0 1 0 113803 53.1000 C123 S
4 5 0 3 Allen, Mr. William Henry male 35.0 0 0 373450 8.0500 NaN S
age_sex = titanic[["Age", "Sex"]] <--- this is the sliced Data Frame which is created by
defining a list of the desired columns to be slicedCopyright © 2021 Codeinu
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