我正在嘗試復(fù)制這個(gè)：我有一個(gè)單詞列表，每個(gè)單詞都有一個(gè) x 和 y 坐標(biāo)。我需要像上面那樣繪制它們。做這個(gè)的最好方式是什么？我知道我可以做類似...y = [2.56422, 3.77284, 3.52623, 3.51468, 3.02199]z = [0.15, 0.3, 0.45, 0.6, 0.75]n = [hello, xyz, bbb, fasjd, boy]fig, ax = plt.subplots()for i, txt in enumerate(n): ax.annotate(txt, (z[i], y[i]))但這對于我想做的事情來說似乎不太有效。對于每個(gè)單詞，我都有一個(gè)函數(shù)來傳遞它以找到 x 坐標(biāo)，然后另一個(gè)函數(shù)來找到它的 y 坐標(biāo)。也許只是一個(gè)單詞列表，然后是一個(gè)循環(huán)遍歷并在遍歷列表時(shí)繪制每個(gè)單詞的函數(shù)？這可能嗎？def plotWords(words): fig, ax = pyplot.subplots() for w in words: ax.annotate(w, code for x coordinate, code for y coordinate) return ax
2 回答
藍(lán)山帝景
TA貢獻(xiàn)1843條經(jīng)驗(yàn) 獲得超7個(gè)贊
我想你可以用zip()它們來循環(huán)。
import matplotlib.pyplot as plt
y = [2.56422, 3.77284, 3.52623, 3.51468, 3.02199]
z = [0.15, 0.3, 0.45, 0.6, 0.75]
n = ['hello', 'xyz', 'bbb', 'fasjd', 'boy']
fig = plt.figure(figsize=(4,3),dpi=144)
ax = fig.add_subplot(111)
def plotWords(words,z,y):
for w,xx,yy in zip(words,z,y):
ax.annotate(w, xy=(xx,yy))
ax.set_ylim(0,5)
plt.show()
return
plotWords(n,z,y)
搖曳的薔薇
TA貢獻(xiàn)1793條經(jīng)驗(yàn) 獲得超6個(gè)贊
這個(gè)圖
是運(yùn)行這個(gè)腳本產(chǎn)生的
import matplotlib.pyplot as plt
import numpy as np
# determine the sequence of random numbers
np.random.seed(sum(ord(c) for c in 'gboffi'))
# initialize the plotting
fig, ax = plt.subplots(figsize=(8,6), constrained_layout=1)
# a list of long words
N = 40
data = '/usr/share/dict/italian'
long_words = [w.strip() for w in open(data) if len(w)>12 and "'" not in w]
words = np.random.choice(long_words, N)
# let's compute the word characteristics
xs = np.random.random(N) + [len(w) for w in words]
ys = np.random.random(N) + [sum(ord(c) for c in w)/len(w) for w in words]
# determine the axes limits
xmn = min(xs) ; xmx = max(xs) ; dx = xmx-xmn
ymn = min(ys) ; ymx = max(ys) ; dy = ymx-ymn
ax.set_xlim(xmn-0.05*dx, xmx+0.05*dx) ; ax.set_ylim(ymn-0.05*dy, ymx+0.05*dx)
# label the axes
plt.xlabel('Word Length', size='x-large')
plt.ylabel('Mean Value', size='x-large')
# for every word, plot a red "o" and place the text around it
for w, x, y in zip(words, xs, ys):
ax.plot((x,),(y,), 'o', c='r')
ax.annotate(w, (x, y), ha='center', va='center')
# the dashed red lines, the position is a little arbitrary
plt.hlines(ymn+0.5*dy, xmn, xmx, ls='--', color='r')
plt.vlines(xmn+0.4*dx, ymn, ymx, ls='--', color='r')
# remove everything except points, red lines and axes' labels
plt.box(False)
plt.tick_params(left=0, top=0, right=0, bottom=0,
labelleft=0, labeltop=0, labelright=0, labelbottom=0)
# we are done
plt.show()
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