How to read certain rows of data in csv in python

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Release: 2024-03-28 22:36:30
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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 in python

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:

  1. Import Pandas

    <code class="python">import pandas as pd</code>
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  2. Read CSV file

    <code class="python">df = pd.read_csv("data.csv")</code>
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  3. 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>
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  4. Print or return a subset

    <code class="python"># 打印子集
    print(df_subset)
    
    # 返回子集
    return df_subset</code>
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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>
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This will print the data from row 1 to row 5 in the CSV file.

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