我正在嘗試?yán)L制下面的堆積條形圖，來自loglList. 或用于確定顏色，整數(shù)是條形代表的百分比'up'。'down'數(shù)組可以改變大小，所以這就是我有for循環(huán)的原因。但是，當(dāng)我運(yùn)行代碼時(shí)，只繪制了 2 個(gè)柱中的 1 個(gè)，其余是它們之間的空格。盡管聲明如此，它們的顏色也是錯(cuò)誤的if。我想知道是否有人知道為什么會(huì)發(fā)生這種情況？謝謝import numpy as npimport matplotlib.pyplot as pltloglist = [['up', 0.8519966683633334], ['down', 0.09023182638471149], ['up', 4.120008329091666], ['down', 0.09023182638471149], ['up', 0.3441534403775855], ['down', 0.089075008097728], ['up', 0.3447318495210772], ['down', 1.650779695525427], ['up', 11.537527185229743], ['down', 22.519781592707417], ['up', 14.05245014113183], ['down', 4.601823145620286], ['up', 3.8163435287585026], ['down', 2.34313544028504], ['up', 7.137568830688075], ['down', 0.7415205219564112], ['up', 3.7324742029522002], ['down', 21.91534403775855]]width = 0.3barDict = []for index, plotLog in enumerate(logList): if(plotLog[0] == "up"): colour = "g" elif(plotLog[0] == "down"): colour = "r" bottom = 0 for i in range(index): bottom = bottom + logList[i][1] barDict[index] = plt.bar(1, plotLog[1], width, bottom=bottom, color=colour)plt.yticks(np.arange(0, 101, 10))plt.show()
2 回答
猛跑小豬
TA貢獻(xiàn)1858條經(jīng)驗(yàn) 獲得超8個(gè)贊
您的代碼似乎有幾個(gè)拼寫錯(cuò)誤，因此很難猜測其真實(shí)意圖。這是一個(gè)最小的重寫：
import numpy as np
import matplotlib.pyplot as plt
logList = [['up', 0.8519966683633334], ['down', 0.09023182638471149], ['up', 4.120008329091666], ['down', 0.09023182638471149], ['up', 0.3441534403775855], ['down', 0.089075008097728], ['up', 0.3447318495210772], ['down', 1.650779695525427], ['up', 11.537527185229743], ['down', 22.519781592707417], ['up', 14.05245014113183], ['down', 4.601823145620286], ['up', 3.8163435287585026], ['down', 2.34313544028504], ['up', 7.137568830688075], ['down', 0.7415205219564112], ['up', 3.7324742029522002], ['down', 21.91534403775855]]
width = 0.3
bottom = 0
for index, plotLog in enumerate(logList):
if (plotLog[0] == "up"):
colour = "g"
elif (plotLog[0] == "down"):
colour = "r"
plt.bar(1, plotLog[1], width, bottom=bottom, color=colour)
bottom += plotLog[1]
plt.yticks(np.arange(0, 101, 10))
plt.xticks([])
plt.show()
或者，您可以使用以下方法繪制相同的圖：
width = 0.3
vals = np.array([plotLog[1] for plotLog in logList])
colours = ['g' if plotLog[0] == "up" else 'r' for plotLog in logList]
bars = plt.bar(np.ones_like(vals), vals, bottom=np.append(0, np.cumsum(vals[:-1])), color=colours, width=width)
元芳怎么了
TA貢獻(xiàn)1798條經(jīng)驗(yàn) 獲得超7個(gè)贊
幾個(gè)錯(cuò)誤。嘗試：
import numpy as np
import matplotlib.pyplot as plt
logList = [['up', 0.8519966683633334], ['down', 0.09023182638471149], ['up', 4.120008329091666], ['down', 0.09023182638471149], ['up', 0.3441534403775855], ['down', 0.089075008097728], ['up', 0.3447318495210772], ['down', 1.650779695525427], ['up', 11.537527185229743], ['down', 22.519781592707417], ['up', 14.05245014113183], ['down', 4.601823145620286], ['up', 3.8163435287585026], ['down', 2.34313544028504], ['up', 7.137568830688075], ['down', 0.7415205219564112], ['up', 3.7324742029522002], ['down', 21.91534403775855]]
width = 0.3
barDict = []
for index, plotLog in enumerate(logList):
if(plotLog[0] == "up"):
colour = "g"
elif(plotLog[0] == "down"):
colour = "r"
bottom = 0
for i in range(index):
bottom = bottom + logList[i][1]
print(plotLog, plotLog[0])
barDict.append(plt.bar(1, plotLog[1], width, bottom=bottom, color=colour))
plt.yticks(np.arange(0, 101, 10))
plt.show()
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