Question

我有一个数据库，它使用时间戳和该时间戳的值每分钟存储一次值。有时值是无。我必须使用matplotlib绘制这些值。

我尝试仅传递None值，但是在绘制时出现此错误： “引发TypeError（“ {val！r}不是字符串”。format（val = val）） TypeError：None不是字符串“，所以我最终只是将None值替换为空字符串”“。但这最终将点绘制为” 0“值，这对我而言是不正确的。我希望这些值不代表。

我的数据存储为带有列表值的字典。

这是我的代码：

futures::future::err

这就是我现在得到的：

这是我要实现的目标：

我想维护字典，因为它们是更复杂的代码的一部分，只是将“”替换为“无”值，这样它们就不会被解释为“ 0”值。

有没有办法做到这一点？

编辑：

数据字典的结构如下：

from __future__ import unicode_literals
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
from PyQt5 import QtWidgets, QtCore
import sys
import datetime
import numpy


class MyMplCanvas(FigureCanvas):
    def __init__(self, parent=None, width=5, height=4, dpi=100):
        fig = Figure(figsize=(width, height), dpi=dpi)
        self.axes = fig.add_subplot(111)

        FigureCanvas.__init__(self, fig)
        self.setParent(parent)

        FigureCanvas.setSizePolicy(self, QtWidgets.QSizePolicy.Expanding, QtWidgets.QSizePolicy.Expanding)
        FigureCanvas.updateGeometry(self)

    def compute_initial_figure(self):
        pass


class MyDynamicMplCanvas(MyMplCanvas):
    def __init__(self, *args, **kwargs):
        MyMplCanvas.__init__(self, *args, **kwargs)
        self.lines = []
        self.labels = []
        self.update_figure()

    def update_figure(self):
        processed_numeric_values = {'0022FF0000000680_6': ['16.97', '16.97', '16.97', '', '16.97', '16.97', '16.97', '16.97'], '0022FF0000000680_7': ['16.97', '16.97', '16.97', '', '16.97', '16.97', '16.97', '16.97'], '0022FF0000000680_13': ['1.00', '1.00', '1.00', '', '1.00', '1.00', '1.00', '1.00'], '0022FF0000000680_14': ['0.99', '0.99', '0.99', '', '1.00', '1.00', '1.00', '0.99']}

        processed_time_values = {'0022FF0000000680_6': [datetime.datetime(2018, 9, 3, 9, 23), datetime.datetime(2018, 9, 3, 9, 24), datetime.datetime(2018, 9, 3, 9, 25), datetime.datetime(2018, 9, 3, 9, 26), datetime.datetime(2018, 9, 3, 9, 27), datetime.datetime(2018, 9, 3, 9, 28), datetime.datetime(2018, 9, 3, 9, 29), datetime.datetime(2018, 9, 3, 9, 30)], '0022FF0000000680_7': [datetime.datetime(2018, 9, 3, 9, 23), datetime.datetime(2018, 9, 3, 9, 24), datetime.datetime(2018, 9, 3, 9, 25), datetime.datetime(2018, 9, 3, 9, 26), datetime.datetime(2018, 9, 3, 9, 27), datetime.datetime(2018, 9, 3, 9, 28), datetime.datetime(2018, 9, 3, 9, 29), datetime.datetime(2018, 9, 3, 9, 30)], '0022FF0000000680_13': [datetime.datetime(2018, 9, 3, 9, 23), datetime.datetime(2018, 9, 3, 9, 24), datetime.datetime(2018, 9, 3, 9, 25), datetime.datetime(2018, 9, 3, 9, 26), datetime.datetime(2018, 9, 3, 9, 27), datetime.datetime(2018, 9, 3, 9, 28), datetime.datetime(2018, 9, 3, 9, 29), datetime.datetime(2018, 9, 3, 9, 30)], '0022FF0000000680_14': [datetime.datetime(2018, 9, 3, 9, 23), datetime.datetime(2018, 9, 3, 9, 24), datetime.datetime(2018, 9, 3, 9, 25), datetime.datetime(2018, 9, 3, 9, 26), datetime.datetime(2018, 9, 3, 9, 27), datetime.datetime(2018, 9, 3, 9, 28), datetime.datetime(2018, 9, 3, 9, 29), datetime.datetime(2018, 9, 3, 9, 30)]}

        for eui_attr in processed_numeric_values.keys():
            line, = self.axes.plot(numpy.array(processed_time_values[eui_attr]),
                               numpy.array(processed_numeric_values[eui_attr]),
                               visible=True,
                               marker='o', markersize=5, lw=2, label=eui_attr)
        self.labels.append(eui_attr)
        self.lines.append(line)
        if self.labels:
            self.axes.legend(loc=1, ncol=2, fontsize='xx-small', frameon=True, fancybox=True, facecolor=(0.7, 0.7, 0.7))
        self.draw()

class ApplicationWindow(QtWidgets.QMainWindow):
    def __init__(self):
        QtWidgets.QMainWindow.__init__(self)
        self.setAttribute(QtCore.Qt.WA_DeleteOnClose)
        self.setWindowTitle("application main window")

        self.main_widget = QtWidgets.QWidget(self)

        l = QtWidgets.QVBoxLayout(self.main_widget)
        dc = MyDynamicMplCanvas(self.main_widget, width=5, height=4, dpi=100)
        l.addWidget(dc)

        self.setCentralWidget(self.main_widget)

        self.statusBar().showMessage("All hail matplotlib!", 2000)


qApp = QtWidgets.QApplication(sys.argv)
aw = ApplicationWindow()
aw.show()
sys.exit(qApp.exec_())
#qApp.exec_()

词典包含相同的键，每个键代表图表中的一行。 processing_numeric_values字典表示Y轴上的数据，而processed_time_values字典表示X轴上的数据。

在Matplotlib中绘制“无”值

0 个答案: