Python:如何使用类绘制不同的线条?

时间:2018-10-18 15:12:33

标签: python oop matplotlib

我想使用类方法绘制不同的线条。为了画一条线。与Passing plots out of a class类似,我使用此类绘制线

from matplotlib.figure import Figure
import matplotlib.pyplot as plt

class Plotter(object):
    def __init__(self, xval=None, yval=None, dim1=None, dim2=None):
        self.xval = xval
        self.yval = yval
        self.dim1 = dim1
        self.dim2 = dim2

    def plotthing(self):
        fig, ax = plt.subplots(figsize=(self.dim1,self.dim2))
        ax.plot(self.xval, self.yval, 'o-')
        return fig

app = Plotter(xval=range(0,10), yval=range(0,10),  dim1=5, dim2=5)
plot = app.plotthing()

enter image description here

但是我想在同一图中绘制不同的曲线并在类中定义一个函数。

Xval = []
Yval = []
xval=range(0,10)
yval=range(0,10)
Xval.append(xval)
Yval.append(yval)
xval=range(0,10)
yval=np.sin(range(0,10))
Xval.append(xval)
Yval.append(yval)

如何定义要传递给绘图的函数?

class Plotter(object):
    def __init__(self, xval=None, yval=None, dim1=None, dim2=None):
        self.xval = xval
        self.yval = yval
        self.dim1 = dim1
        self.dim2 = dim2

    def function_do_plot(x, y):
        do something  

    def plotthing(self):
        fig, ax = plt.subplots(figsize=(self.dim1,self.dim2))
        for i in range(0, len(self.xval)): 
             x = xval[i]
             y = yval[i]
             fig = function_do_plot(x, y)
        return fig

1 个答案:

答案 0 :(得分:0)

考虑遍历输入列表,而无需使用单独的方法:

class Plotter(object):
    def __init__(self, xval=None, yval=None, dim1=None, dim2=None):
        self.xval = xval    # LIST
        self.yval = yval    # LIST 
        self.dim1 = dim1
        self.dim2 = dim2

    def plotthing(self):
        fig, ax = plt.subplots(figsize=(self.dim1,self.dim2))

        for i, j in zip(self.xval, self.yval):
            ax.plot(i, j, 'o-')

        return fig

# POPULATE LIST OF RANGES
Xval = []; Yval = []

xval = range(0,10)
yval = range(0,10)
Xval.append(xval)
Yval.append(yval)

xval = range(0,10)
yval = np.sin(range(0,10))
Xval.append(xval)
Yval.append(yval)

# PASS IN LIST OF RANGES
app = Plotter(xval=Xval, yval=Yval, dim1=5, dim2=5)
plot = app.plotthing()

Plot Output