With Pyplot, you can use the bar()
function to draw bar graphs:
Draw 4 bars:
import matplotlib.pyplot as plt
import numpy as np
x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])
plt.bar(x,y)
plt.show()
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The bar()
function takes arguments that describes the layout of the bars.
The categories and their values represented by the first and second argument as arrays.
If you want the bars to be displayed horizontally instead of vertically, use the barh()
function:
Draw 4 horizontal bars:
import matplotlib.pyplot as plt
import numpy as np
x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])
plt.barh(x, y)
plt.show()
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The bar()
and barh()
take the keyword argument color
to set the color of the bars:
Draw 4 red bars:
import matplotlib.pyplot as plt
import numpy as np
x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])
plt.bar(x, y, color = "red")
plt.show()
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You can use any of the 140 supported color names.
Draw 4 "hot pink" bars:
import matplotlib.pyplot as plt
import numpy as np
x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])
plt.bar(x, y, color = "hotpink")
plt.show()
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Or you can use Hexadecimal color values:
Draw 4 bars with a beautiful green color:
import matplotlib.pyplot as plt
import numpy as np
x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])
plt.bar(x, y, color = "#4CAF50")
plt.show()
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The bar()
takes the keyword argument width
to set the width of the bars:
Draw 4 very thin bars:
import matplotlib.pyplot as plt
import numpy as np
x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])
plt.bar(x, y, width = 0.1)
plt.show()
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The default width value is 0.8
Note: For horizontal bars, use height
instead of width
.
The barh()
takes the keyword argument height
to set the height of the bars:
Draw 4 very thin bars:
import matplotlib.pyplot as plt
import numpy as np
x = np.array(["A", "B", "C", "D"])
y = np.array([3, 8, 1, 10])
plt.barh(x, y, height = 0.1)
plt.show()
Try it Yourself »
The default height value is 0.8
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