Load listing info from a single sheet
As you just learned, you can import data from a sheet of an Excel file with the pd.read_excel()
function by assigning the optional sheet_name
argument to an integer indicating its position or a string containing its name.
pandas.read_excel(file, sheet_name=0, na_values=None, ...)
Here, you will practice by importing NYSE data from a new file, listings.xlsx
. pandas
has been imported as pd
.
This exercise is part of the course
Importing and Managing Financial Data in Python
Exercise instructions
- Read only the
'nyse'
worksheet of'listings.xlsx'
where the symbol'n/a'
represents missing values. Assign the result tonyse
. - Display and inspect
nyse
with.head()
and.info()
.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Import the data
nyse = pd.read_excel('listings.xlsx', ____, ____)
# Display the head of the data
print(nyse.head())
# Inspect the data
nyse.info()