分两步在 ipython 笔记本中绘图

plotting in ipython notebook in 2 steps

当 运行 通过单个单元格时,我有以下脚本在 jupyter notebook 中工作,但当 运行 通过 2 个单元格时失败,如下所示:

有什么办法可以让这种安排在笔记本上起作用吗?

单元格 1:

class Plotting(object):

    def __init__(self, run, hist):
        self.running = run
        self.histogram = hist

    def start_plot(self):
        if self.running:
            self.run_fig, self.run_ax = plt.subplots(1,2)
        if self.histogram:
            self.hist_fig, self.hist_ax = plt.subplots(1,2)

    def create_plots(self, iwindow, run_series, hist_series):
        if self.running:
            self.run_ax[iwindow].plot(run_series)
        if self.histogram:
            self.hist_ax[iwindow].hist(hist_series, histtype='step')

plot = Plotting(run =1, hist =1)
plot.start_plot()

单元格 2:

for iwindow in np.arange(2):
   r = np.random.rand(20)
   h = np.random.rand(50)
   plot.create_plots(iwindow, r, h)

您可以 运行 在一个单元格中,

%matplotlib inline
import matplotlib.pyplot as plt 
import pandas as pd
import numpy as np

class Plotting(object):

    def __init__(self, run, hist):
        self.running = run
        self.histogram = hist

    def start_plot(self):
        if self.running:
            self.run_fig, self.run_ax = plt.subplots(1,2)
        if self.histogram:
            self.hist_fig, self.hist_ax = plt.subplots(1,2)

    def create_plots(self, iwindow, run_series, hist_series):
        if self.running:
            self.run_ax[iwindow].plot(run_series)
        if self.histogram:
            self.hist_ax[iwindow].hist(hist_series, histtype='step')

plot = Plotting(run =1, hist =1)
plot.start_plot()

for iwindow in np.arange(2):
    r = np.random.rand(20)
    h = np.random.rand(50)
    plot.create_plots(iwindow, r, h)

或者如果您需要 运行 它在两个不同的单元格中,您需要显示输出:

单元格 1

%%capture
%matplotlib inline
from IPython.display import display
import matplotlib.pyplot as plt 
import pandas as pd
import numpy as np


class Plotting(object):

    def __init__(self, run, hist):
        self.running = run
        self.histogram = hist

    def start_plot(self):
        if self.running:
            self.run_fig, self.run_ax = plt.subplots(1,2)
        if self.histogram:
            self.hist_fig, self.hist_ax = plt.subplots(1,2)

    def create_plots(self, iwindow, run_series, hist_series):
        if self.running:
            self.run_ax[iwindow].plot(run_series)
        if self.histogram:
            self.hist_ax[iwindow].hist(hist_series, histtype='step')

plot = Plotting(run =1, hist =1)
plot.start_plot()

单元格 2

for iwindow in np.arange(2):
    r = np.random.rand(20)
    h = np.random.rand(50)
    plot.create_plots(iwindow, r, h)
display(plot.run_fig)
display(plot.hist_fig)