pandas 行具体适用

python
data = {'Name': ['Alice', 'Bob', 'Charlie'],
        'Age': [25, 30, 35],
        'City': ['New York', 'Paris', 'London']}
df = pd.DataFrame(data)
row_1 = df.loc[0]
print(row_1)

Name        Alice
Age            25
City    New York
Name: 0, dtype: object

python
rows_1_3 = df.loc[[0, 2]]
print(rows_1_3)

      Name  Age      City
0    Alice   25  New York
2  Charlie   35    London

python
age_greater_than_30 = df[df['Age'] >= 30]
print(age_greater_than_30)

      Name  Age    City
1      Bob   30   Paris
2  Charlie   35  London

python
df.loc[0, 'Age'] = 40
print(df)

      Name  Age      City
0    Alice   40  New York
1      Bob   30     Paris
2  Charlie   35    London

python
df = df.drop(1)
print(df)

      Name  Age      City
0    Alice   40  New York
2  Charlie   35    London