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 argument 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.

Create a histogram of the tip column.

Take Hint (-9 XP)

Exercise

Univariate plots in pandas

Instructions 1/3