你可以像这样使用一个自定义的FuncFormatter：

from matplotlib.ticker import FuncFormatter
import matplotlib.pyplot as plt
def millions(x, pos):
    'The two args are the value and tick position'
    return '%1.1fM' % (x * 1e-6)

formatter = FuncFormatter(millions)

fig, ax = plt.subplots()
ax.yaxis.set_major_formatter(formatter)

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或者，您甚至可以使用以下函数替换百万，以支持所有大小：

def human_format(num, pos):
    magnitude = 0
    while abs(num) >= 1000:
        magnitude += 1
        num /= 1000.0
    # add more suffixes if you need them
    return '%.2f%s' % (num, ['', 'K', 'M', 'G', 'T', 'P'][magnitude])

型

import pandas as pd
import matplotlib .pyplot as plt
import matplotlib.ticker as ticker
fig, ax=plt.subplots()
ax.plot([1, 2], [1000000, 5000000])
scale_y = 1e6
ticks_y = ticker.FuncFormatter(lambda x, pos: '{0:g}'.format(x/scale_y))
ax.yaxis.set_major_formatter(ticks_y)
ax.set_ylabel('val in millions')

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你可以使用FuncFormatter：

from matplotlib import pyplot as plt
from matplotlib.ticker import FuncFormatter

def millions_formatter(x, pos):
    return f'{x / 1000000}'

fig, ax = plt.subplots()
ax.plot([1, 2], [1000000, 5000000])
ax.yaxis.set_major_formatter(FuncFormatter(millions_formatter))
ax.set_ylabel('value (in millions)')
plt.show()

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