I have the following script that works in jupyter notebook when run through a single cell, but fails when running through 2 cells as done below:
Is there any way to make this kind of arrangement work in notebook?
cell 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()
cell 2:
for iwindow in np.arange(2):
r = np.random.rand(20)
h = np.random.rand(50)
plot.create_plots(iwindow, r, h)
You would either run this in a single cell,
%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)
Or if you need to run it in two different cells, you need to display the output:
cell 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()
cell 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)
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