Pandas print the first few rows of dataframe

0 votes
How can I print only the first few rows of the dataframe. I have a dataframe that has over a thousand rows. The data is of people and their score. The dataframe is sorted in descending order of the score. I want to display the details of people with the top 10 score. So, how can I display only the first 10 rows?
May 9, 2019 in Python by Karan
134 views

1 answer to this question.

0 votes

Pandas allows you to slice the dataframe similar to how python allows you to slice the string. Suppose the name of the dataframe is df, then to print the first 10 rows, you can use the below code:

print(df[0:3])
answered May 9, 2019 by Shri

Related Questions In Python

0 votes
1 answer

How to print all the index of Pandas Dataframe?

Try this: print(df.index.values) READ MORE

answered Apr 8, 2019 in Python by Yogi
60 views
0 votes
1 answer

How to find the sum of rows in Pandas dataframe?

You can use a combination groupby function with the sum() method. ...READ MORE

answered May 9, 2019 in Python by Jisha
762 views
0 votes
1 answer

How to print the index of a Pandas Dataframe?

You can do this using the code ...READ MORE

answered May 12, 2019 in Python by Usha
107 views
0 votes
1 answer

How to print rows at different locations of pandas dataframe?

Like you are using row slicing, you ...READ MORE

answered May 12, 2019 in Python by Gani
39 views
0 votes
1 answer

How to rename columns in pandas (Python)?

It is easy by just adding ".columns" ...READ MORE

answered Apr 30, 2018 in Data Analytics by DeepCoder786
• 1,720 points
172 views
0 votes
1 answer

What is the Difference in Size and Count in pandas (python)?

The major difference is size includes NaN ...READ MORE

answered Apr 30, 2018 in Data Analytics by DeepCoder786
• 1,720 points
801 views
0 votes
2 answers

Replacing a row in pandas data.frame

key error. I love python READ MORE

answered Feb 18, 2019 in Data Analytics by anonymous
3,134 views
0 votes
1 answer

Converting a pandas data-frame to a dictionary

Emp_dict=Employee.to_dict('records') You can directly use the 'to_dict()' function ...READ MORE

answered May 23, 2018 in Data Analytics by Bharani
• 4,560 points
2,015 views
0 votes
1 answer
0 votes
1 answer

What is the easiest way to implement 'IN' and 'NOT IN' in Pandas dataframe?

You can use pd.Series.isin. For "IN" use: something.isin(somewhere) Or for "NOT ...READ MORE

answered Aug 22, 2019 in Python by Arvind
• 2,980 points
135 views