我有以下脚本在单个单元格中运行时在jupyter笔记本中工作,但在运行2个单元格时失败,如下所示:
有没有办法让这种安排在笔记本上工作?
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)
答案 0 :(得分:0)
你可以在一个单元格中运行它,
$query = "UPDATE images SET
`filename`= :filename,
`display_start_date`= :display_start_date,
`display_end_date` = :display_end_date,
`display_delay` = :display_delay;
$pdoResult = $pdo->prepare($query);
$pdoExecute = $pdoResult->execute(
[
':name' => $imageName,
':path' => $path;
':filename' => $imageFilename,
':display_start_date' => $displayStartDate,
':display_end_date' => $displayEndDate,
':display_delay' => $displayDelay,
':upload_date' => date('Y-m-d'),
':image_id' => $imageId)
]
)
}
或者,如果您需要在两个不同的单元格中运行它,则需要显示输出:
细胞1
%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)
细胞2
%%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()