Matplotlib 弃用警告
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【中文标题】Matplotlib 弃用警告【英文标题】:Matplotlib Deprecation Warnings 【发布时间】:2020-08-02 18:19:30 【问题描述】:我正在使用 Matplotlib 库在 PyQt5 窗口中实现图形。当我运行代码时,我收到以下警告错误:
Warning (from warnings module):
File "C:\Users\yagom\OneDrive\Escritorio\SUSKIND\Código fuente\wsS1.py", line 6
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
MatplotlibDeprecationWarning:
The matplotlib.backends.backend_qt4agg backend was deprecated in Matplotlib 3.3 and will be removed two minor releases later.
Warning (from warnings module):
File "C:\Users\yagom\OneDrive\Escritorio\SUSKIND\Código fuente\wsS1.py", line 106
ax.set_yticklabels(ax.get_yticks(), 'family':'Cambria','size':'9','color':'black') #
MatplotlibDeprecationWarning: Passing the fontdict parameter of _set_ticklabels() positionally is deprecated since Matplotlib 3.3; the parameter will become keyword-only two minor releases later.
Warning (from warnings module):
File "C:\Users\yagom\OneDrive\Escritorio\SUSKIND\Código fuente\wsS1.py", line 75
ax.set_xticklabels(ax.get_xticks(), 'family':'Cambria','size':'9','color':'white')
UserWarning: FixedFormatter should only be used together with FixedLocator
这是一个可重复的小例子,警告也会出现。
import sys, time, random
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
from matplotlib import ticker
class wS1(QWidget):
def __init__(self):
super().__init__()
self.setWindowTitle('Interfaz')
self.setFixedSize(1440,880)
self.initUI()
def initUI(self):
def set_GraphWidget_1 (ys=[0,1,0,2,26,22,14,12,4,2],remark=3):
self.figure = Figure(figsize=(3,1.8))
self.Graph_1 = FigureCanvas(self.figure)
ax = self.figure.add_subplot(111)
self.figure.tight_layout()
ax.clear()
ax.grid(True,axis='both',linestyle=':')
ax.set_yticklabels(ax.get_yticks(), 'family':'Cambria','size':'9','color':'black')
ax.set_xticklabels(ax.get_xticks(), 'family':'Cambria','size':'9','color':'white')
ax.tick_params(which='major', width=0.75, length=5, color='grey')
ax.tick_params(which='minor', width=0.5, length=2.5, color='grey')
for spine in ax.spines.values():
spine.set_edgecolor('grey')
ax.set_facecolor('#f4f2f1')
ax.yaxis.set_major_locator(ticker.MultipleLocator(10))
ax.yaxis.set_minor_locator(ticker.MultipleLocator(5))
ax.xaxis.set_major_locator(ticker.MultipleLocator(1))
ax.yaxis.set_major_formatter('x %')
ax.plot(ys,linewidth=1,markersize=3,marker='o',color='#e66f00',zorder=0)
if remark != None:
ax.scatter(remark,ys[remark],s=35,linewidth=0.5,edgecolors='black',color='#e66f00',zorder=1)
def set_GraphWidget_2 (ys=[120,66,19,19,14,9,9,5,0,6]):
self.figure = Figure(figsize=(3,2.5))
self.Graph_2 = FigureCanvas(self.figure)
ax = self.figure.add_subplot(111)
self.figure.tight_layout()
ax.clear()
ax.grid(True,axis='both',linestyle=':')
ax.set_yticklabels(ax.get_yticks(), 'family':'Cambria','size':'9','color':'black') #
ax.tick_params(which='major', width=0.75, length=5, color='grey')
ax.tick_params(which='minor', width=0.5, length=2.5, color='grey')
for spine in ax.spines.values():
spine.set_edgecolor('grey')
ax.set_facecolor('#f4f2f1')
ax.yaxis.set_major_locator(ticker.MultipleLocator(20))
ax.yaxis.set_minor_locator(ticker.MultipleLocator(5))
ax.xaxis.set_major_locator(ticker.MultipleLocator(1))
ax.yaxis.set_major_formatter('x')
ax.xaxis.tick_top()
width = 0.08
opacity = 0.85
xs = range(1,len(ys)+1)
ax.bar(xs,ys,width,color='#e66f00')
set_GraphWidget_1()
set_GraphWidget_2()
self.Lay = QVBoxLayout()
self.Lay.addWidget(self.Graph_1)
self.Lay.addWidget(self.Graph_2)
self.setLayout(self.Lay)
app = QApplication(sys.argv)
window = wS1()
window.show()
sys.exit(app.exec_())
if __name__ == '__main__':
main()
我尝试了几项更改,但似乎都不起作用。有人可以解释一下我应该从代码中改变什么吗?我将不胜感激。
【问题讨论】:
请提供minimal reproducible example 您通过调用from matplotlib.backends.backend_qt4agg import ...
来使用PyQt4 后端。尝试将其更改为from matplotlib.backends.backend_qt5agg import ...
我做到了,而且效果很好。谢谢!但是滴答声警告仍然存在。你有什么解决办法吗?
【参考方案1】:
关于滴答声警告。您应该将 set ticks 函数拆分为 2 个,一个用于值,一个用于标签。例如:
ax.set_yticks([0,50,80])
ax.set_yticklabels(['start', 'mid', 'end])
【讨论】:
【参考方案2】:将字典值转换为关键字参数
# From
ax.set_yticklabels(ax.get_yticks(), 'family': 'Cambria', 'size': '9')
# To
ax.set_yticklabels(ax.get_yticks(), family='Cambria', size=9)
【讨论】:
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