Python Pandas在dataframe中查找值，而不考虑列

import pandas as pd

# 创建一个示例dataframe
data = {'Name': ['Tom', 'Nick', 'John', 'Tom'],
        'Age': [20, 21, 19, 20],
        'City': ['New York', 'Paris', 'London', 'Tokyo']}
df = pd.DataFrame(data)

# 查找Name列中值为'Tom'的行
result = df.loc[df['Name'] == 'Tom']
print(result)

import pandas as pd

# 创建一个示例dataframe
data = {'Name': ['Tom', 'Nick', 'John', 'Tom'],
        'Age': [20, 21, 19, 20],
        'City': ['New York', 'Paris', 'London', 'Tokyo']}
df = pd.DataFrame(data)

# 查找第一行第一列的值
result = df.iloc[0, 0]
print(result)

import pandas as pd

# 创建一个示例dataframe
data = {'Name': ['Tom', 'Nick', 'John', 'Tom'],
        'Age': [20, 21, 19, 20],
        'City': ['New York', 'Paris', 'London', 'Tokyo']}
df = pd.DataFrame(data)

# 查找Name列中值为'Tom'或'Nick'的行
result = df[df['Name'].isin(['Tom', 'Nick'])]
print(result)

import pandas as pd

# 创建一个示例dataframe
data = {'Name': ['Tom', 'Nick', 'John', 'Tom'],
        'Age': [20, 21, 19, 20],
        'City': ['New York', 'Paris', 'London', 'Tokyo']}
df = pd.DataFrame(data)

# 查找Age列中值大于等于20的行
result = df.query('Age >= 20')
print(result)