使用 Pandas 选择包含特定文本的行
要选择包含特定文本的行，请使用contains()方法。假设以下是我们的CSV文件路径-
C:\\Users\\amit_\\Desktop\\SalesRecords.csv
首先，让我们读取CSV文件并创建PandasDataFrame-
dataFrame = pd.read_csv("C:\\Users\\amit_\\Desktop\\CarRecords.csv")现在，让我们选择包含特定文本“BMW”的行-
dataFrame = dataFrame[dataFrame['Car'].str.contains('BMW')]示例
以下是代码-
import pandas as pd
# reading csv file
dataFrame = pd.read_csv("C:\\Users\\amit_\\Desktop\\CarRecords.csv")
print("DataFrame...\n",dataFrame)
# select rows containing text "BMW"
dataFrame = dataFrame[dataFrame['Car'].str.contains('BMW')]
print("\nFetching rows with text BMW ...\n",dataFrame)输出结果这将产生以下输出-
DataFrame ...
Car Place UnitsSold
0 Audi Bangalore 80
1 Porsche Mumbai 110
2 RollsRoyce Pune 100
3 BMW Delhi 95
4 Mercedes Hyderabad 80
5 Lamborghini Chandigarh 80
6 Audi Mumbai 100
7 Mercedes Pune 120
8 Lamborghini Delhi 100
Fetching rows with text BMW ...
Car Place UnitsSold
3 BMW Delhi 95