How to get top 5 values from pandas dataframe?

I think what you are looking for is:

cheese.sort_values(by=['Name of column']).head(5)

to say anything more we need to see a sample of your data.

You can use the pandas method nlargest:

df['column'].nlargest(n=5)

Reference: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.nlargest.html

dataframe_name['field_name'].value_counts.head(5)

import pandas as pd
df = pd.read_csv('911.csv')
df['zip'].value_counts().head(5)

To get the top 5 most occuring values use

df['column'].value_counts().head(n)

The solution provided by @lux7

df['column'].nlargest(n=5)

would result in the top 5 values from a column(their values not how many times they have appeared).