Horizontal Bar Chart
Horizontal bar charts are the same as bar charts, but have axes 'swapped': this time bars are horizontal, and values are labeled on the x-axis.
To build horizontal bar chart. use the .barh() function. This function can also be used to build stacked bars, but this time instead of the bottom parameter we should use the left parameter, and instead of width we should use height. For example, we can rebuild the stacked bar chart from example as a horizontal one:
1234567891011121314151617181920# Import library import matplotlib.pyplot as plt # Create data for chart countries = ['United States', 'India', 'Brazil'] agricultural = [333600, 1458996, 214368] industrial = [3722590, 2179020, 672336] services = [15592000, 5826510, 2361296] # Create Axes and Figure objects fig, ax = plt.subplots() # Initialize bar chart ax.barh(countries, agricultural, label = 'Agricultural', height = 0.4) ax.barh(countries, industrial, label = 'Industrial', left = agricultural, height = 0.4) ax.barh(countries, services, label = 'Services', left = industrial, height = 0.4) # Display the plot plt.legend() plt.show()
Kiitos palautteestasi!
Kysy tekoälyä
Kysy tekoälyä
Kysy mitä tahansa tai kokeile jotakin ehdotetuista kysymyksistä aloittaaksesi keskustelumme
Awesome!
Completion rate improved to 2.94Horizontal Bar Chart
Pyyhkäise näyttääksesi valikon
Horizontal bar charts are the same as bar charts, but have axes 'swapped': this time bars are horizontal, and values are labeled on the x-axis.
To build horizontal bar chart. use the .barh() function. This function can also be used to build stacked bars, but this time instead of the bottom parameter we should use the left parameter, and instead of width we should use height. For example, we can rebuild the stacked bar chart from example as a horizontal one:
1234567891011121314151617181920# Import library import matplotlib.pyplot as plt # Create data for chart countries = ['United States', 'India', 'Brazil'] agricultural = [333600, 1458996, 214368] industrial = [3722590, 2179020, 672336] services = [15592000, 5826510, 2361296] # Create Axes and Figure objects fig, ax = plt.subplots() # Initialize bar chart ax.barh(countries, agricultural, label = 'Agricultural', height = 0.4) ax.barh(countries, industrial, label = 'Industrial', left = agricultural, height = 0.4) ax.barh(countries, services, label = 'Services', left = industrial, height = 0.4) # Display the plot plt.legend() plt.show()
Kiitos palautteestasi!
