If you need to do that, just remember to use forward slashes when setting the appropriate directory, as backwards slashes serve a different purpose in Python. Otherwise, you’ll have to specify the path of the exact folder where you stored it. Make sure you save the file in the same directory as your Python code. Then, inside the parentheses, in double quotation marks, we add the name of the file. We name the variable “raw_csv_data” and use it to record the values from the integrated function “read_csv” from the “pandas” package. To import the data from the CSV file, we’ll create a “Data Frame” object using the “pandas” module. How To Load Data Into Python From A CSV File? Here, that’s the “pandas” module, so we type “import pandas as pd”. Next, you need to import all the relevant packages. I prefer Jupyter, but you can use any of the other environments as well. Let’s get started! How To Import Data Into Python?īefore all else, to import data into Python, we need to load up Python first. Each unique format is imported in a slightly different way, so we must be capable of using whatever data is given. Then we’ll see how to scrape data directly from Yahoo Finance.ĭata can be stored in various ways - we can have a file located on our machine or a cloud API. We’ll start by learning how to use Pandas and import a fixed dataset from a CSV file or Excel file. So, in this tutorial, I’ll show you how to import data into Python. But before we do any of that, we need to import it. We can pre-process it, alter it, model it, store it or remove it. One of the many applications of data science comes in the form of financial analysis.Īnd just like with any other quantitative analysis, we start with the data. Viktor Mehandzhiyski Published on 5 min read
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