Reading market history
Many data sources let you download data in the .csv file format. To understand a stocks performance over time it is useful to analyze its history. Imagine that you want to analyze the history of a stocks performance, looking at it closing prices for the last few months. The first thing you need to do is open the file as a DataFrame. The path to the .csv file containing the data is 'pcdg.csv'.
This exercise is part of the course
Intermediate Python for Finance
Exercise instructions
- Read the
.csvfile into a DataFrame. - Print the DataFrame.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Read the data
stocks = ____.____('____')
# Look at the data
print(____)