Univariate and bivariate plots in matplotlib
Matplotlib is at the core of all the plotting functions in Pandas and Seaborn. Understanding how matplotlib works will help you tweak your plot for publication or reports.
In this exercise, you will generate a histogram and scatterplot:
# Histogram
plt.hist(df['column_name'])
plt.show()
# Scatter plot
plt.scatter(df['x_column'], df['y_column'])
plt.show()
Recall that you need to call plt.show() to display the plot. We'll work with the pre-loaded dataset tips in this exercise.
Deze oefening maakt deel uit van de cursus
Python for R Users
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
import matplotlib.pyplot as plt
# Univariate histogram
plt____
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