Pandas Read CSV
Read CSV Files
A simple way to store big data sets is to use CSV files (comma separated files).
CSV files contains plain text and is a well know format that can be read by everyone including Pandas.
In our examples we will be using a CSV file called 'data.csv'.
Download data.csv. or Open data.csv
Example
Load the CSV into a DataFrame:
import pandas as pd
df = pd.read_csv('data.csv')
print(df.to_string())
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Tip: use to_string() to print the entire
DataFrame.
By default, when you print a DataFrame, you will only get the first 5 rows, and the last 5 rows:
Example
Print a reduced sample:
import pandas as pd
df = pd.read_csv('data.csv')
print(df)
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