Python 正在从matplotlib记号标签格式中删除前导0

如何在matplotlib中将数字十进制数据（例如0和1之间）的标签更改为“0”、“0.1”、“0.2”，而不是“0.0”、“0.1”、“0.2”？比如说,

hist(rand(100))
xticks([0, .2, .4, .6, .8])

将标签的格式设置为“0.0”、“0.2”等。我知道这将去掉“0.0”的前导“0”和“1.0”的尾随“0”：

---

这是一个很好的开始，但我还想去掉“0.2”和“0.4”等上的“0”前缀。如何做到这一点？

将所有值乘以10。

虽然我不确定这是最好的方法，但您可以使用a来做到这一点。例如，定义以下函数

def my_formatter(x, pos):
    """Format 1 as 1, 0 as 0, and all values whose absolute values is between
    0 and 1 without the leading "0." (e.g., 0.7 is formatted as .7 and -0.4 is
    formatted as -.4)."""
    val_str = '{:g}'.format(x)
    if np.abs(x) > 0 and np.abs(x) < 1:
        return val_str.replace("0", "", 1)
    else:
        return val_str

运行此代码将生成以下直方图

请注意，勾号标签满足问题中要求的条件

def my_formatter(x, pos):
    """Format 1 as 1, 0 as 0, and all values whose absolute values is between
    0 and 1 without the leading "0." (e.g., 0.7 is formatted as .7 and -0.4 is
    formatted as -.4)."""
    val_str = '{:g}'.format(x)
    if np.abs(x) > 0 and np.abs(x) < 1:
        return val_str.replace("0", "", 1)
    else:
        return val_str

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

def my_formatter(x, pos):
    """Format 1 as 1, 0 as 0, and all values whose absolute values is between
    0 and 1 without the leading "0." (e.g., 0.7 is formatted as .7 and -0.4 is
    formatted as -.4)."""
    val_str = '{:g}'.format(x)
    if np.abs(x) > 0 and np.abs(x) < 1:
        return val_str.replace("0", "", 1)
    else:
        return val_str

# Generate some data.
np.random.seed(1) # So you can reproduce these results.
vals = np.random.rand((1000))

# Set up the formatter.
major_formatter = FuncFormatter(my_formatter)

plt.hist(vals, bins=100)
ax = plt.subplot(111)
ax.xaxis.set_major_formatter(major_formatter)
plt.show()