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skiprows pandas

Ankur answered on December 4, 2021 Popularity 8/10 Helpfulness 4/10

answer skiprows pandas

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skiprows pandas

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skiprows: Specifies the number of rows to skip before reading the data.
Let's say we have a CSV file named "data.csv" with the following contents:

Name, Age, City
John, 25, New York
Mike, 32, London
Sarah, 28, Sydney
Bob, 30, Paris
Alice, 27, Berlin
And let's say we only want to select the rows from the middle of the file, specifically the rows from "Mike, 32, London" to "Bob, 30, Paris".

To do this, we can use the skiprows and nrows parameters in pandas.read_csv(). We can set skiprows to 2 (to skip the first two rows), and nrows to 3 (to select the next three rows).

Here's the code:
import pandas as pd 
df = pd.read_csv('data.csv', skiprows=2, nrows=3) 
print(df)

Output:
    Mike  32  London
0  Sarah  28  Sydney
1    Bob  30  Paris

I hope this solution will help you. Thank you :)
For more refer link: https://www.programmingquest.com/2023/03/a-beginners-guide-to-reading-csv-files.html

Popularity 8/10 Helpfulness 4/10 Language python

Source: www.programmingquest.com

Tags: pandas python

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Contributed on Mar 27 2023

Ankur

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read_html pandas skiprows function example

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dfs = pd.read_html('https://en.wikipedia.org/wiki/2020_coronavirus_pandemic_in_Sweden',
                  match='New COVID-19 cases in Sweden by county')
dfs[0].tail()
Code language: Python (python)

Popularity 9/10 Helpfulness 1/10 Language html

Source: www.marsja.se

Tags: pandas html pand

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Contributed on Dec 04 2021

Tender Turtle

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skiprows pandas

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