pandas 取某列大于某个值的数据

import pandas as pd

data = {
    'A': [1, 2, 3, 4, 5],
    'B': ['apple', 'banana', 'cat', 'dog', 'elephant']
}

df = pd.DataFrame(data)
print(df)

   A         B
0  1     apple
1  2    banana
2  3       cat
3  4       dog
4  5  elephant

result = df.loc[df['A'] > 2]
print(result)

   A         B
2  3       cat
3  4       dog
4  5  elephant

import numpy as np

data = {
    'A': np.random.rand(5),
    'B': np.random.rand(5)
}

df = pd.DataFrame(data)
print(df)

          A         B
0  0.218740  0.421776
1  0.598951  0.015176
2  0.886508  0.628937
3  0.013175  0.677380
4  0.678993  0.651133

result = df.loc[df['B'] > 0.5]
print(result)

          A         B
2  0.886508  0.628937
3  0.013175  0.677380
4  0.678993  0.651133

data = {
    'A': ['geek-docs.com', 'python', 'pandas', 'data', 'science'],
    'B': [0, 1, 2, 3, 4]
}

df = pd.DataFrame(data)
print(df)

                A  B
0  geek-docs.com  0
1         python  1
2         pandas  2
3           data  3
4        science  4

result = df.loc[df['B'] > 1]
print(result)

         A  B
2  pandas  2
3    data  3
4  science  4