dictionary from two columns pandas
pd.Series(df.A.values,index=df.B).to_dict()dictionary from two columns pandas
pd.Series(df.A.values,index=df.B).to_dict()select 2 cols from dataframe python pandas
# Convert the dictionary into DataFrame
df = pd.DataFrame(data)
# select two columns
df[['Name', 'Qualification']]create dict from two columns pandas
In [6]: df = pd.DataFrame(randint(0,10,10000).reshape(5000,2),columns=list('AB'))
In [7]: %timeit dict(zip(df.A,df.B))
1000 loops, best of 3: 1.27 ms per loop
In [8]: %timeit pd.Series(df.A.values,index=df.B).to_dict()
1000 loops, best of 3: 987 us per loophow 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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