matplotlib pylab_examples_Examples 41_newscalarformatter

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pylab_examples_Examples 41_newscalarformatter_demo.	H.Kamifuji .

newscalarformatter_demo.py

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.ticker import OldScalarFormatter, ScalarFormatter

# Example 1
x = np.arange(0, 1, .01)
fig, [[ax1, ax2], [ax3, ax4]] = plt.subplots(2, 2, figsize=(6, 6))
fig.text(0.5, 0.975, 'The old formatter',
         horizontalalignment='center', verticalalignment='top')
ax1.plot(x * 1e5 + 1e10, x * 1e-10 + 1e-5)
ax1.xaxis.set_major_formatter(OldScalarFormatter())
ax1.yaxis.set_major_formatter(OldScalarFormatter())

ax2.plot(x * 1e5, x * 1e-4)
ax2.xaxis.set_major_formatter(OldScalarFormatter())
ax2.yaxis.set_major_formatter(OldScalarFormatter())

ax3.plot(-x * 1e5 - 1e10, -x * 1e-5 - 1e-10)
ax3.xaxis.set_major_formatter(OldScalarFormatter())
ax3.yaxis.set_major_formatter(OldScalarFormatter())

ax4.plot(-x * 1e5, -x * 1e-4)
ax4.xaxis.set_major_formatter(OldScalarFormatter())
ax4.yaxis.set_major_formatter(OldScalarFormatter())

fig.subplots_adjust(wspace=0.7, hspace=0.6)

# Example 2
x = np.arange(0, 1, .01)
fig, [[ax1, ax2], [ax3, ax4]] = plt.subplots(2, 2, figsize=(6, 6))
fig.text(0.5, 0.975, 'The new formatter, default settings',
         horizontalalignment='center',
         verticalalignment='top')

ax1.plot(x * 1e5 + 1e10, x * 1e-10 + 1e-5)
ax1.xaxis.set_major_formatter(ScalarFormatter())
ax1.yaxis.set_major_formatter(ScalarFormatter())

ax2.plot(x * 1e5, x * 1e-4)
ax2.xaxis.set_major_formatter(ScalarFormatter())
ax2.yaxis.set_major_formatter(ScalarFormatter())

ax3.plot(-x * 1e5 - 1e10, -x * 1e-5 - 1e-10)
ax3.xaxis.set_major_formatter(ScalarFormatter())
ax3.yaxis.set_major_formatter(ScalarFormatter())

ax4.plot(-x * 1e5, -x * 1e-4)
ax4.xaxis.set_major_formatter(ScalarFormatter())
ax4.yaxis.set_major_formatter(ScalarFormatter())

fig.subplots_adjust(wspace=0.7, hspace=0.6)

# Example 3
x = np.arange(0, 1, .01)
fig, [[ax1, ax2], [ax3, ax4]] = plt.subplots(2, 2, figsize=(6, 6))
fig.text(0.5, 0.975, 'The new formatter, no numerical offset',
         horizontalalignment='center',
         verticalalignment='top')

ax1.plot(x * 1e5 + 1e10, x * 1e-10 + 1e-5)
ax1.xaxis.set_major_formatter(ScalarFormatter(useOffset=False))
ax1.yaxis.set_major_formatter(ScalarFormatter(useOffset=False))

ax2.plot(x * 1e5, x * 1e-4)
ax2.xaxis.set_major_formatter(ScalarFormatter(useOffset=False))
ax2.yaxis.set_major_formatter(ScalarFormatter(useOffset=False))

ax3.plot(-x * 1e5 - 1e10, -x * 1e-5 - 1e-10)
ax3.xaxis.set_major_formatter(ScalarFormatter(useOffset=False))
ax3.yaxis.set_major_formatter(ScalarFormatter(useOffset=False))

ax4.plot(-x * 1e5, -x * 1e-4)
ax4.xaxis.set_major_formatter(ScalarFormatter(useOffset=False))
ax4.yaxis.set_major_formatter(ScalarFormatter(useOffset=False))

fig.subplots_adjust(wspace=0.7, hspace=0.6)

# Example 4
x = np.arange(0, 1, .01)
fig, [[ax1, ax2], [ax3, ax4]] = plt.subplots(2, 2, figsize=(6, 6))
fig.text(0.5, 0.975, 'The new formatter, with mathtext',
         horizontalalignment='center',
         verticalalignment='top')

ax1.plot(x * 1e5 + 1e10, x * 1e-10 + 1e-5)
ax1.xaxis.set_major_formatter(ScalarFormatter(useMathText=True))
ax1.yaxis.set_major_formatter(ScalarFormatter(useMathText=True))

ax2.plot(x * 1e5, x * 1e-4)
ax2.xaxis.set_major_formatter(ScalarFormatter(useMathText=True))
ax2.yaxis.set_major_formatter(ScalarFormatter(useMathText=True))

ax3.plot(-x * 1e5 - 1e10, -x * 1e-5 - 1e-10)
ax3.xaxis.set_major_formatter(ScalarFormatter(useMathText=True))
ax3.yaxis.set_major_formatter(ScalarFormatter(useMathText=True))

ax4.plot(-x * 1e5, -x * 1e-4)
ax4.xaxis.set_major_formatter(ScalarFormatter(useMathText=True))
ax4.yaxis.set_major_formatter(ScalarFormatter(useMathText=True))

fig.subplots_adjust(wspace=0.7, hspace=0.6)

plt.show()

実行結果( newscalarformatter_demo.png )

　

　

　

　

　Python 3.11.2 見直しました。上記のコードでは、下記のエラーが発生します。

Traceback (most recent call last):
　File "_:\newscalarformatter_demo.py", line 3, in <module>
　　　from matplotlib.ticker import OldScalarFormatter, ScalarFormatter
ImportError: cannot import name 'OldScalarFormatter' from 'matplotlib.ticker' (C:\Users\_____\AppData\Local\Programs\Python\Python311\Lib\site-packages\matplotlib\ticker.py)

　matplotlib 内部のエラーのようです。matplotlib の改修（先祖帰りバグの改修）を待つしかない。

　Python 3.11.6 (matplotlib 3.7.1) では、下記のようなエラーがあり、実行できない。

Traceback (most recent call last):
  File "M:\______\newscalarformatter_demo.py", line 3, in 
    from matplotlib.ticker import OldScalarFormatter, ScalarFormatter
ImportError: cannot import name 'OldScalarFormatter' from 'matplotlib.ticker' 
(C:\Users\______\AppData\Local\Programs\Python\Python311\Lib\site-packages\matplotlib\ticker.py)

　Python 3.12.0 (matplotlib 3.8.1) では、下記のようなエラーがあり、実行できない。

Traceback (most recent call last):
  File "E:\______\newscalarformatter_demo.py", line 3, in 
    from matplotlib.ticker import OldScalarFormatter, ScalarFormatter
ImportError: cannot import name 'OldScalarFormatter' from 'matplotlib.ticker' 
(C:\Program Files\Python312\Lib\site-packages\matplotlib\ticker.py). Did you mean: 'ScalarFormatter'?

　Python 3.11.6 (matplotlib 3.7.1) 及び Python 3.12.0 (matplotlib 3.8.1) 共に、OldScalarFormatter が見つからないようです( ticker_api を参照)。
　取り敢えず動作するように OldScalarFormatter を ScalarFormatter に書き換えました。

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

# Example 1
x = np.arange(0, 1, .01)
fig, [[ax1, ax2], [ax3, ax4]] = plt.subplots(2, 2, figsize=(6, 6))
fig.text(0.5, 0.975, 'The old formatter',
         horizontalalignment='center', verticalalignment='top')
ax1.plot(x * 1e5 + 1e10, x * 1e-10 + 1e-5)
ax1.xaxis.set_major_formatter(ScalarFormatter())
ax1.yaxis.set_major_formatter(ScalarFormatter())

ax2.plot(x * 1e5, x * 1e-4)
ax2.xaxis.set_major_formatter(ScalarFormatter())
ax2.yaxis.set_major_formatter(ScalarFormatter())

ax3.plot(-x * 1e5 - 1e10, -x * 1e-5 - 1e-10)
ax3.xaxis.set_major_formatter(ScalarFormatter())
ax3.yaxis.set_major_formatter(ScalarFormatter())

ax4.plot(-x * 1e5, -x * 1e-4)
ax4.xaxis.set_major_formatter(ScalarFormatter())
ax4.yaxis.set_major_formatter(ScalarFormatter())

fig.subplots_adjust(wspace=0.7, hspace=0.6)

# Example 2
x = np.arange(0, 1, .01)
fig, [[ax1, ax2], [ax3, ax4]] = plt.subplots(2, 2, figsize=(6, 6))
fig.text(0.5, 0.975, 'The new formatter, default settings',
         horizontalalignment='center',
         verticalalignment='top')

ax1.plot(x * 1e5 + 1e10, x * 1e-10 + 1e-5)
ax1.xaxis.set_major_formatter(ScalarFormatter())
ax1.yaxis.set_major_formatter(ScalarFormatter())

ax2.plot(x * 1e5, x * 1e-4)
ax2.xaxis.set_major_formatter(ScalarFormatter())
ax2.yaxis.set_major_formatter(ScalarFormatter())

ax3.plot(-x * 1e5 - 1e10, -x * 1e-5 - 1e-10)
ax3.xaxis.set_major_formatter(ScalarFormatter())
ax3.yaxis.set_major_formatter(ScalarFormatter())

ax4.plot(-x * 1e5, -x * 1e-4)
ax4.xaxis.set_major_formatter(ScalarFormatter())
ax4.yaxis.set_major_formatter(ScalarFormatter())

fig.subplots_adjust(wspace=0.7, hspace=0.6)

# Example 3
x = np.arange(0, 1, .01)
fig, [[ax1, ax2], [ax3, ax4]] = plt.subplots(2, 2, figsize=(6, 6))
fig.text(0.5, 0.975, 'The new formatter, no numerical offset',
         horizontalalignment='center',
         verticalalignment='top')

ax1.plot(x * 1e5 + 1e10, x * 1e-10 + 1e-5)
ax1.xaxis.set_major_formatter(ScalarFormatter(useOffset=False))
ax1.yaxis.set_major_formatter(ScalarFormatter(useOffset=False))

ax2.plot(x * 1e5, x * 1e-4)
ax2.xaxis.set_major_formatter(ScalarFormatter(useOffset=False))
ax2.yaxis.set_major_formatter(ScalarFormatter(useOffset=False))

ax3.plot(-x * 1e5 - 1e10, -x * 1e-5 - 1e-10)
ax3.xaxis.set_major_formatter(ScalarFormatter(useOffset=False))
ax3.yaxis.set_major_formatter(ScalarFormatter(useOffset=False))

ax4.plot(-x * 1e5, -x * 1e-4)
ax4.xaxis.set_major_formatter(ScalarFormatter(useOffset=False))
ax4.yaxis.set_major_formatter(ScalarFormatter(useOffset=False))

fig.subplots_adjust(wspace=0.7, hspace=0.6)

# Example 4
x = np.arange(0, 1, .01)
fig, [[ax1, ax2], [ax3, ax4]] = plt.subplots(2, 2, figsize=(6, 6))
fig.text(0.5, 0.975, 'The new formatter, with mathtext',
         horizontalalignment='center',
         verticalalignment='top')

ax1.plot(x * 1e5 + 1e10, x * 1e-10 + 1e-5)
ax1.xaxis.set_major_formatter(ScalarFormatter(useMathText=True))
ax1.yaxis.set_major_formatter(ScalarFormatter(useMathText=True))

ax2.plot(x * 1e5, x * 1e-4)
ax2.xaxis.set_major_formatter(ScalarFormatter(useMathText=True))
ax2.yaxis.set_major_formatter(ScalarFormatter(useMathText=True))

ax3.plot(-x * 1e5 - 1e10, -x * 1e-5 - 1e-10)
ax3.xaxis.set_major_formatter(ScalarFormatter(useMathText=True))
ax3.yaxis.set_major_formatter(ScalarFormatter(useMathText=True))

ax4.plot(-x * 1e5, -x * 1e-4)
ax4.xaxis.set_major_formatter(ScalarFormatter(useMathText=True))
ax4.yaxis.set_major_formatter(ScalarFormatter(useMathText=True))

fig.subplots_adjust(wspace=0.7, hspace=0.6)

plt.show()

　Python 3.11.6 (matplotlib 3.7.1) 及び Python 3.12.0 (matplotlib 3.8.1) 共に、正常実行です。

　

　

　

　

参照ページ

pylab_examples_Examples code: newscalarformatter_demo.py
ticker_api

リリースノート

2023/12/02 Ver=1.04 Python 3.12.0 (matplotlib 3.8.1)で確認
2023/12/02 Ver=1.04 Python 3.11.6 (matplotlib 3.7.1)で確認
2023/04/03 Ver=1.03 Python 3.11.2 で確認
2020/11/01 Ver=1.01 Python 3.7.8 で確認
2018/12/03 Ver=1.01 初版リリース

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