Univariate plots in pandas
You'll start this chapter by using the plotting methods in pandas.
This is typically done by calling the .plot() method on the relevant column, and passing in a value for the kind argument.
Histograms and boxplots are good for continuous data.
# Histogram
df['column_name'].plot(kind='hist')
plt.show()
# Boxplot
df['column_name'].plot(kind='box')
plt.show()
Bar graphs are good for categorical data. Remember to first obtain the counts of values using the .value_counts() method before plotting.
# Bar plot
counts = df['column_name'].value_counts()
counts.plot(kind='bar')
plt.show()
Remember to use the show() function from matplotlib.pyplot to display the plot.
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
# Histogram of tip
tips.____.____(____)
____