你可以在Pandas中使用barh：

data2 = pd.DataFrame({'Film': ['Top Gun: Maverick', 'The Batman', 'Top Gun: Maverick'],
                      'Weekend_gross': [1, 2, 3]})

data2 = data2.sort_values('Weekend_gross')

clrs = ['r', 'orange', 'chartreuse']

fig, ax = plt.subplots(figsize=(10, 7))
data2.plot.barh('Film', 'Weekend_gross', color=clrs, legend=False, title='What movie Grossed the Most in 1 Weekend', ax=ax)
plt.tight_layout()
plt.show()

输出：

您可以在ax.barh内部传递y，而不是将data2['Film]传递给ax.barh，而是传递一系列连续数字，然后使用ax.set_yticks将data2['Film']的值设置为yticks。例如：

import pandas as pd
import matplotlib.pyplot as plt

data2 = pd.DataFrame({'Film': ['Film A', 'Film B', 'Film A', 'Film D'],
                      'Weekend_gross': [1, 3, 7, 5]})

data2 = data2.sort_values('Weekend_gross')

clrs = ['teal', 'orange', 'cyan', 'violet']

fig, ax = plt.subplots(figsize=(10, 7))

# create a range with length of your data
idx = range(len(data2))

# pass `idx` to `y` param
ax.barh(idx, data2['Weekend_gross'], 
        color=clrs, edgecolor='black')
ax.set(title='What movie Grossed the Most in 1 Weekend', 
       ylabel='Film')

# set `yticks` with `Film` column
ax.set_yticks(idx, data2['Film'])
plt.show()

结果：

当然，如果您不介意重置索引，您可以使用data2.index来实现这一点。例如：

# reset index:
data2 = data2.sort_values('Weekend_gross').reset_index(drop=True)

...
# pass as `y`
ax.barh(data2.index, data2['Weekend_gross'], 
        color=clrs, edgecolor='black')

...
# and set yticks
ax.set_yticks(data2.index, data2['Film'])