AngularJs中的Python脚本
我是JavaScript新手,我正在研究一个将NodeJs作为服务器框架并将AngularJs作为应用程序框架的web应用程序。我想运行一个python脚本" title="python脚本">python脚本,在视图/模板上显示图形(matplotlib)。这是python代码。从mongodb服务器获取数据的过程可以在NodeJs控制器中完成。AngularJs中的Python脚本
# In[2]: import pymongo
import json
import datetime as dt
from pymongo import MongoClient
import pandas as pd
from pandas import DataFrame
import matplotlib.pyplot as plt
import numpy as np
# In[77]:
l=['ts','cd']
df = pd.DataFrame(columns=l)
k=0
if __name__ == '__main__':
client = MongoClient("localhost", 27017, maxPoolSize=50)
db=client.test
collection=db['data']
cursor = collection.find({"dId":3},{"ts":1,"cd":1}).sort("ts",-1).limit(25000)
for document in cursor:
df.loc[k,'ts']=document.values()[1]
df.loc[k,'cd']=document.values()[2]
k=k+1
# In[78]:
times = pd.DataFrame(pd.to_datetime(df.ts))
# In[79]:
times['hour']=times['ts'].dt.hour
times['date']=times['ts'].dt.date
times['weekday']=times['ts'].dt.weekday
# In[80]:
grouped = pd.DataFrame(columns=['date','hour','weekday','count'])
grouped[['date','hour','weekday','count']] = times.groupby(['date','hour','weekday']).count().reset_index()
# In[81]:
irregularities=grouped[grouped['count'] != 60][['date','hour','weekday','count']]
# In[82]:
get_ipython().magic(u'matplotlib inline')
x = irregularities['weekday']
plt.hist(x, bins=30)
plt.ylabel('Count of irregularities')
plt.xlabel('day of week')
plt.xticks([0,1,2,3,4,5,6],['mon','tue','wed','thurs','fri','sat','sun'])
# In[86]:
x = irregularities['hour']
plt.hist(x, bins=30)
plt.ylabel('Count of irregularities')
plt.xlabel('Hour of day')
我想不出如何将这个python脚本集成到Angular Js中。我怎样才能做到这一点?
回答:
Python无法在浏览器中运行。所以你可以render your graph to png和output it to client using node。
或者有mpld3库,几乎不正是你所需要的
以上是 AngularJs中的Python脚本 的全部内容, 来源链接: utcz.com/qa/263191.html