Question

How to select rows in a range from dataframe?

Answer 1

Hi,

There are different functions to select or extract rows from the data frame using dplyr functions.

1. Filter( )

filter(condition1, . . .)

2. Sample_frac( ) - returns fraction part from the dataframe.

sample_frac(table,fraction,replace = TRUE)

3. sample_n( ) - returns n rows from dataframe.

sample_n(table,n,replace = TRUE)

4. slice( ) - select range of rows using position.

slicer(tbl,m:n)

5. top_n( ) -  returns top n rows.

top_n(tbl,n)

Answer 2

Steps to Select Rows from Pandas DataFrame

1. Step 1: Gather your data. Firstly, you'll need to gather your data. ...
2. Step 2: Create the DataFrame. Once you have your data ready, you'll need to create the DataFrame to capture that data in Python. ...
3. Step 3: Select Rows from Pandas DataFrame.

Answer 3

This should do it

integer_location = np.where(df.index == 3454)[0][0]
start = max(0, integer_location - 55)
end = max(1, integer_location)
dfRange = df.iloc[start:end]