Using Python's Pandas library, you can read the data of the specified row in CSV as follows: Import the Pandas library. Read CSV files. Use the iloc method to select specific rows by row index number. Print or return a subset.
How to read certain rows of data in CSV
To read specific rows of data in CSV file , you can use the pandas
library in Python. pandas
is a powerful library for data manipulation and analysis, providing an intuitive and efficient way to process CSV files.
The following are the steps to read certain rows of data in CSV:
Import Pandas
<code class="python">import pandas as pd</code>
Read CSV file
<code class="python">df = pd.read_csv("data.csv")</code>
Select rows to read
To select specific rows you can use iloc
method. iloc
The method accepts the row index number as a parameter.
<code class="python"># 读取第 1 行到第 5 行 df_subset = df.iloc[0:5] # 读取第 1 行和第 3 行 df_subset = df.iloc[[0, 2]]</code>
Print or return a subset
<code class="python"># 打印子集 print(df_subset) # 返回子集 return df_subset</code>
Example:
<code class="python">import pandas as pd df = pd.read_csv("data.csv") # 读取第 1 行到第 5 行 df_subset = df.iloc[0:5] print(df_subset)</code>
This will print the data from row 1 to row 5 in the CSV file.
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