我一直在 Jupyter Notebook 中使用以下代碼繪制數(shù)據(jù)框：為了與僅在紙上以 0.005mm=1cm 比例提供的舊數(shù)據(jù)進(jìn)行比較，我需要以相同比例導(dǎo)出和打印圖形：0.005mm in the圖（x 軸和 y 軸）在圖中必須為 1cm。有什么辦法可以定義自定義比例嗎？有關(guān)信息，x 范圍和 y 范圍不是固定的，它們會(huì)根據(jù)我加載到數(shù)據(jù)框中的數(shù)據(jù)而有所不同。import pandas as pdimport numpy as npimport matplotlib.pyplot as pltimport seaborn as sns import matplotlib.ticker as tickerdf = pd.DataFrame(np.array([[1.7, 0], [1.75, -0.012], [1.8, 0]]), columns=['pos', 'val']) # Plot resultssns.set()plt.figure(figsize=(20,30))plt.plot(df['pos'], df['val'])ax = plt.axes()ax.set_aspect('equal')plt.xlabel('Position [mm]')plt.ylabel('H?he [mm]')ax.xaxis.set_major_locator(ticker.MultipleLocator(0.005))ax.yaxis.set_major_locator(ticker.MultipleLocator(0.005))plt.show()
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TA貢獻(xiàn)1786條經(jīng)驗(yàn) 獲得超13個(gè)贊
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import Divider, Size
from mpl_toolkits.axes_grid1.mpl_axes import Axes
cm = lambda d: d/2.54
x, y = [1700.0, 1725.0, 1750.0], [0.0, -12.0, 0.0] # μm
dx, dy = 50.0, 12.0
# take margins into account
xmin, xmax = min(x)-dx*0.05, max(x)+dx*0.05
ymin, ymax = min(y)-dy*0.05, max(y)+dy*0.05
dx, dy = xmax-xmin, ymax-ymin
# 5 μm data == 1 cm plot
scale = 5/1
xlen, ylen = dx/scale, dy/scale
# Now we know the extents of our data and the axes dimension,
# so we can set the Figure dimensions, taking borders into account
left, right = 2, 1
bot, top = 1.5, 1.5
fig = plt.figure(
? ? figsize=(cm(left+xlen+right), cm(bot+ylen+top)),
? ? dpi=118)
# change bg color to show so that one can measure the figure
# and the axes when pasted into SO and do their math…
fig.set_facecolor('xkcd:grey teal')
##########? Below is stolen from Matplotlib Fixed Size Axes
########## (please don't ask me…)
# Origin and size of the x axis and y axis
h = [Size.Fixed(cm(left)), Size.Fixed(cm(xlen))]
v = [Size.Fixed(cm(bot)), Size.Fixed(cm(ylen))]
divider = Divider(fig, (0.0, 0.0, 1., 1.), h, v, aspect=False)
# NB: Axes is from mpl_toolkits.axes_grid1.mpl_axes
ax = Axes(fig, divider.get_position())
ax.set_axes_locator(divider.new_locator(nx=1, ny=1))
fig.add_axes(ax)
#########? Above is stolen from Matplotlib Fixed Size Axes Demo?
plt.plot(x,y)
plt.grid()
ax.set(xlim=(xmin, xmax), ylim=(ymin, ymax), yticks=range(-12,1,3),
? ? ? ?xlabel='X/μm', ylabel='Y/μm',
? ? ? ?title='X vs Y, 1 cm on plot equals 5 μm')
fig.suptitle('Figure dimensions: w = %.2f cm, h = %.2f cm.'%(
? ? left+xlen+right, bot+ylen+top))
fig.savefig('Figure_1.png',
? ? ? ? ? ? # https://stackoverflow.com/a/4805178/2749397, Joe Kington's
? ? ? ? ? ? facecolor=fig.get_facecolor(), edgecolor='none')
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TA貢獻(xiàn)1803條經(jīng)驗(yàn) 獲得超3個(gè)贊
1 英寸 = 2.54 厘米，所以 254/0.005 = 50800 dpi
plt.figure(figsize=(20,30), dpi=50800)
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