MatplotlibDeprecationWarning：tick1On 函数在 Matplotlib 3.1 中已弃用，将在 3.3 中删除

Question

如何在 ma​​tplotlib 中更新已折旧的 tick1On 和 tick2On？

    # Turn off all the ticks
    for t in ax.xaxis.get_major_ticks():
        t.tick1On = False
        t.tick2On = False
    for t in ax.yaxis.get_major_ticks():
        t.tick1On = False
        t.tick2On = False

警告

/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:151: MatplotlibDeprecationWarning: 
The tick1On function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use Tick.tick1line.set_visible instead.
/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:152: MatplotlibDeprecationWarning: 
The tick2On function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use Tick.tick2line.set_visible instead.
/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:154: MatplotlibDeprecationWarning: 
The tick1On function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use Tick.tick1line.set_visible instead.
/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:155: MatplotlibDeprecationWarning: 
The tick2On function was deprecated in Matplotlib 3.1 and will be removed in 3.3. Use Tick.tick2line.set_visible instead.

根据引发错误的警告更新代码

    # Turn off all the ticks
    for t in ax.xaxis.get_major_ticks():
        t.Tick.tick1line.set_visible = False
        t.Tick.tick2line.set_visible = False
    for t in ax.yaxis.get_major_ticks():
        t.Tick.tick1line.set_visible = False
        t.Tick.tick2line.set_visible = False

<ipython-input-5-674bddf7d454> in pretty_plot_confusion_matrix(df_cm, annot, cmap, fmt, fz, lw, cbar, figsize, show_null_values, pred_val_axis)
    149     # Turn off all the ticks
    150     for t in ax.xaxis.get_major_ticks():
--> 151         t.Tick.tick1line.set_visible = False
    152         t.Tick.tick2line.set_visible = False
    153     for t in ax.yaxis.get_major_ticks():

AttributeError: 'XTick' object has no attribute 'Tick'

我可以使用

隐藏这些折旧警告

import warnings
warnings.filterwarnings("ignore", category=UserWarning)

但我想用最新的兼容性更新它。完整的代码可以在这里找到confusion_matrix_pretty_print.py

Answer 1

我认为错误消息意味着您可以这样替换：

for t in ax.xaxis.get_major_ticks():
    t.tick1line.set_visible(False)
    t.tick2line.set_visible(False)