Python Pandas – 检查两个 DataFrames 的任何特定列是否相等
pythonserver side programmingprogramming更新于 2025/10/28 15:40:17
要检查两个 DataFrames 的任何特定列是否相等，请使用 equals() 方法。让我们首先创建具有两列 − 的 DataFrame1
dataFrame1 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'],
"Units": [100, 150, 110, 80, 110, 90]
}
)
创建具有两列 − 的 DataFrame2
dataFrame2 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Mercedes', 'Jaguar'],
"Units": [100, 150, 110, 80, 110, 90]
}
)
检查特定列 Units 是否相等 −
dataFrame2['Units'].equals(dataFrame1['Units'])
示例
以下是代码 −
import pandas as pd
# 创建 DataFrame1
dataFrame1 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'],
"Units": [100, 150, 110, 80, 110, 90] }
)
print"DataFrame1 ...\n",dataFrame1
# 创建 DataFrame2
dataFrame2 = pd.DataFrame(
{
"Car": ['BMW', 'Lexus', 'Audi', 'Mustang', 'Bentley', 'Jaguar'],
"Units": [100, 150, 110, 80, 110, 90]
}
)
print"\nDataFrame2 ...\n",dataFrame2
# 检查是否相等
print"\nAre both the DataFrame objects equal? ",dataFrame1.equals(dataFrame2)
# check for specific column Units equality
print"\nAre both the DataFrames have similar Units column? ",dataFrame2['Units'].equals(dataFrame1['Units']
)
输出
这将产生以下输出 −
DataFrame1 ... Car Units 0 BMW 100 1 Lexus 150 2 Audi 110 3 Mustang 80 4 Bentley 110 5 Jaguar 90 DataFrame2 ... Car Units 0 BMW 100 1 Lexus 150 2 Audi 110 3 Mustang 80 4 Bentley 110 5 Jaguar 90 Are both the DataFrame objects equal? True Are both the DataFrames have similar Units column? True
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有用资源
python 参考教程 - 该教程包含有关 python 的更多信息:https://www.cainiaomax.com/python/
