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Complete the Pandas modules, do the exercises, take the exam, and you will become w3schools certified!
Pandas is a Python library used for working with data sets. It has functions for analyzing, cleaning, exploring, and manipulating data. The name "Pandas" has a reference to both "Panel Data", and "Python Data Analysis" and was created by Wes McKinney in 2008.
Complete the Pandas modules, do the exercises, take the exam, and you will become w3schools certified!
Complete the Pandas modules, do the exercises, take the exam, and you will become w3schools certified!
Complete the Pandas modules, do the exercises, take the exam, and you will become w3schools certified!
Complete the Pandas modules, do the exercises, take the exam, and you will become w3schools certified!
Scatter Plot. Specify that you want a scatter plot with the. kind argument: kind = 'scatter'. A scatter plot needs an x- and a y-axis. In the example below we will use "Duration" for the x-axis and "Calories" for the y-axis. Include the x and y arguments like this: x = 'Duration', y = 'Calories'.
Complete the Pandas modules, do the exercises, take the exam, and you will become w3schools certified!
Return the age of Mary: import pandas as pd. data = [ [50, True], [40, False], [30, False]] label_rows = ["Sally", "Mary", "John"] label_cols = ["age", "qualified"] df = pd.DataFrame (data, label_rows, label_cols) print(df.loc ["Mary", "age"]) Try it Yourself ».
A great aspect of the Pandas module is the corr() method. The corr() method calculates the relationship between each column in your data set. The examples in this page uses a CSV file called: 'data.csv'. Download data.csv. or Open data.csv.
