Question

You want to plot a bar chart with 4 bars using matplotlib, applying a colorblind-friendly palette but highlighting the third bar in orange. Which code snippet achieves this correctly?

Accepted Answer

import matplotlib.pyplot as plt
plt.style.use('seaborn-colorblind')
colors = plt.rcParams['axes.prop_cycle'].by_key()['color']
bars = [5, 7, 3, 4]
bar_colors = colors[:4]
bar_colors[2] = 'orange'
plt.bar(range(4), bars, color=bar_colors)
plt.show()

Answer

import matplotlib.pyplot as plt
plt.style.use('seaborn-colorblind')
bars = [5, 7, 3, 4]
plt.bar(range(4), bars, color='orange')
plt.show()

Answer

import matplotlib.pyplot as plt
colors = ['blue', 'green', 'orange', 'red']
bars = [5, 7, 3, 4]
plt.bar(range(4), bars, color=colors)
plt.show()

Answer

import matplotlib.pyplot as plt
plt.style.use('seaborn-colorblind')
bars = [5, 7, 3, 4]
plt.bar(range(4), bars)
plt.bar(2, bars[2], color='orange')
plt.show()

You want to plot a bar chart with 4 bars using matplotlib, applying a colorblind-friendly palette but highlighting the third bar in orange. Which code snippet achieves this correctly?

Step 1: Apply colorblind-friendly style

Step 2: Retrieve the palette colors

Step 3: Modify the third bar's color

Step 4: Plot bars with modified colors

Final Answer:

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