在Juniper Notebook / Python / Matplotlib中显示笛卡尔积的图表/图形选项？ [英] Diagram/Graphical options to display cartesian product in Juniper Notebook/Python/Matplotlib?

问题描述

我将使用49个选项（7行7列）。

这里的代码：

  import numpy as np 
 import matplotlib.pylab as plt 
 
 nx，ny = 3,5 
 obs = np.random.randint（10，size =（nx，ny））＃随机观测矩阵
 activity1 = ['talk'， 'listen'，'recreate'，'commerce'，'nothing]] 
 activity2 = ['stand'，'sit'，'lay'] 
 
＃-图形-
图，ax = plt.subplots（）
 im = ax.imshow（obs）
 ax.set_yticks（np.arange（nx））
 ax.set_xticks（ np.arange（ny））
 ax.set_xticklabels（activity1）
 ax.set_yticklabels（activity2）
 plt.setp（ax.get_xticklabels（），rotation = 45，ha = right ，rotation_mode = anchor）
 for i in range（nx）：
 for j in range（ny）：
 text = ax.text（j，i，obs [i，j ]，
 ha = center，va = center，color = w）
 plt.title（学校项目的活动矩阵，fontweight =粗体）； 
 plt.show（）
 fig.savefig（’school_project.png’，transparentity = True）
  

I'll working with 49 options (7 rows, 7 columns).

Here is an example

I'm observing what people do (position x actions) in public plazas (total of four) for a school project. I probabily will show it over a large range of time: Each hour from 8AM to 8PM in working days and in weekend days. The main idea is to understand how the plaza is used by people.

I notice the most comon situation is: standing AND talking, sit AND talk, sit AND reading, standing AND recreation. But I found some option like: just sitting, so, only one row (position) without correlation with column (action).

解决方案

If you observe, that people do nothing, then you must take 'do nothing' into your observational list. You could evaluate/display the observational matrix with a heat plot:

Here the code:

import numpy as np
import matplotlib.pylab as plt

nx, ny = 3,5
obs = np.random.randint(10, size=(nx, ny))  # a random observational matrix
activity1 = ['talk', 'listen', 'recreate','commerce','nothing']
activity2 = ['stand','sit', 'lay']

#--- graphics----
fig, ax = plt.subplots()
im = ax.imshow(obs)
ax.set_yticks(np.arange(nx))
ax.set_xticks(np.arange(ny))
ax.set_xticklabels(activity1)
ax.set_yticklabels(activity2)
plt.setp(ax.get_xticklabels(), rotation=45, ha="right", rotation_mode="anchor")
for i in range(nx):
    for j in range(ny):
        text = ax.text(j, i, obs[i, j],
                       ha="center", va="center", color="w")
plt.title('Activity matrix of school project',fontweight='bold'); 
plt.show()
fig.savefig('school_project.png', transparency=True)

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