def buildChart(sensorid):
r = device.getValue(sensorid)
if (len(r) > 0):
fig3 = figure()
fig3.title = 'Weather over Days'
fig3.ylabel = 'Temperature'
fig3.height = 800
fig3.width = 1200
xVals = ['时间']
yVals = ['温度']
for value in r:
xVals.append(value[3][11:19])
yVals.append(value[2])
fig3.plot(xVals, yVals)
return None
import os
from gpcharts import figure
resultDict = {}
files = [
f for f in os.listdir('.') if os.path.isfile(f) and f.endswith('.log')
]
for f in files:
ratio, amount, name = f[:-4].split('-')
with open(f, 'r') as file:
data = [
eval(fps.strip('\r\n')) for fps in file.readlines()
if len(fps.strip('\r\n')) > 1
]
avgFps = sum(data[5:]) / float(len(data) - 5)
if (amount not in resultDict):
resultDict[amount] = [avgFps]
else:
resultDict[amount].append(avgFps)
print("Amount: {}, Strategy: {}, fps: {}".format(amount, name, avgFps))
amountList = [
'1000', '2000', '4000', '8000', '16000', '24000', '32000', '36000', '48000'
]
fig = figure(title="Test Result", ylabel="Avg Fps")
xVals = ['Amount'] + amountList
yVals = [['ac', 'msemic']] + [resultDict[amount] for amount in amountList]
fig.plot(xVals, yVals)
if (amount not in resultDict):
resultDict[ratio] = [avgFps]
else:
resultDict[ratio].append(avgFps)
print("Amount: {}, Strategy: {}, fps: {}".format(amount, name, avgFps))
list1 = [sum(resultDict[ratio])/float(len(resultDict[ratio])) for ratio in ratioList]
resultDict = {}
files = [f for f in os.listdir('.') if os.path.isfile(f) and f.endswith('ac.log')]
for f in files:
ratio, amount, name = f[:-4].split('-')
with open(f, 'r') as file:
data = [eval(fps.strip('\r\n')) for fps in file.readlines() if len(fps.strip('\r\n')) > 1]
avgFps = sum(data[5:]) / float(len(data) - 5)
if (amount not in resultDict):
resultDict[ratio] = [avgFps]
else:
resultDict[ratio].append(avgFps)
print("Amount: {}, Strategy: {}, fps: {}".format(amount, name, avgFps))
list2 = [sum(resultDict[ratio])/float(len(resultDict[ratio])) for ratio in ratioList]
fig = figure(title="Performance decrease", ylabel="Ratio")
xVals = ['Component number'] + ratioList[:-1]
yVals = [['Server', 'Browser']] + [[(list1[i] - list1[i + 1]) / float(list1[i]), (list2[i] - list2[i + 1]) / float(list2[i])] for i in range(len(list1) - 1)]
# yVals = ['Browser'] + [list1[i] - list1[i + 1] for i in range(len(list1) - 1)]
print(yVals)
fig.plot(xVals, yVals)
from gpcharts import figure import random # my_fig = figure() my_fig.title = 'Random Histrogram' my_fig.xlabel = 'Random Values' vals = [10, 40, 30, 50, 80, 100] my_fig.hist(vals)
from gpcharts import figure
#bar graph
fig1 = figure('Percent Alcohol Consumption')
fig1.bar(['Percentage','Beer','Wine','Liquor'],['Type',40,50,10])
#histogram
fig2 = figure('Distribution',xlabel='value')
fig2.hist([1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,3,3,3,3,4,4,5,6,7,8,8,8,8,8,9,9,9,10,11,12,13,13,13,13,14])
# coding:utf-8 ''' Created on 2016/11/1 @author: sunyihuan ''' from gpcharts import figure my_plot = figure(title='Demo') my_plot.plot([1, 2, 10, 15, 12, 23])
from gpcharts import figure # 获取图像对象并设置x，y轴的值 fig3 = figure() xVals = ['Temps','2016-03-20','2016-03-21','2016-03-25','2016-04-01'] yVals = [['Shakuras','Korhal','Aiur'],[10,30,40],[12,28,41],[15,34,38],[8,33,47]] # 添加标题和Y轴标注，画条形图 fig3.title = 'Weather over Days' fig3.ylabel = 'Dates' fig3.bar(xVals, yVals)
from gpcharts import figure
#simple line graph, as described in the readme.
fig1 = figure()
fig1.plot([1, 2, 3, 4, 5], [8, 7, 6, 5, 4])
#another line graph, but with two data types. Also adding title
fig2 = figure(title='Two lines',
xlabel='Days',
ylabel='Count',
height=600,
width=600)
xVals = ['Mon', 'Tues', 'Wed', 'Thurs', 'Fri']
yVals = [[5, 4], [8, 7], [4, 8], [10, 10], [3, 12]]
fig2.plot(xVals, yVals)
#a graph with dates and times. Title is assigned afterwards, and data is given headers
fig3 = figure()
fig3.title = 'Weather over Days'
fig3.ylabel = 'Temperature'
#modify size of graph
fig3.height = 800
fig3.width = 1200
# X data can take either of the following formats: "yyyy-mm-dd HH:MM:SS" or "yyyy-mm-dd" (but be consistent)
#xVals = ['Dates','2016-03-20 00:00:00','2016-03-21 00:00:00','2016-03-25 00:00:00','2016-04-01 00:00:00']
xVals = ['Dates', '2016-03-20', '2016-03-21', '2016-03-25', '2016-04-01']
yVals = [['Shakuras', 'Korhal', 'Aiur'], [10, 30, 40], [12, 28, 41],
[15, 34, 38], [8, 33, 47]]
fig3.plot(xVals, yVals)
# # Creating Graphs with Python and GooPyCharts
# Source: [datascience+](https://datascienceplus.com/creating-graphs-with-python-and-goopycharts/)
# %% [markdown]
# ## Install gpcharts library
#
# ```python
# pip install gpcharts
# ```
# %% [markdown]
# ## Our First Graph
#
# %%
from gpcharts import figure
my_plot = figure(title='Demo')
my_plot.plot([1, 2, 10, 15, 12, 23])
# %% [markdown]
# ## Creating a Bar Graph
# %%
fig3 = figure()
xVals = ['Temps', '2016-03-20', '2016-03-21', '2016-03-25', '2016-04-01']
yVals = [['Shakuras', 'Korhal', 'Aiur'], [10, 30, 40], [12, 28, 41],
[15, 34, 38], [8, 33, 47]]
fig3.title = 'Weather over Days'
fig3.ylabel = 'Dates'
fig3.bar(xVals, yVals)
import os
from gpcharts import figure
resultDict = {}
files = [f for f in os.listdir('.') if os.path.isfile(f) and f.endswith('msemic.log')]
for f in files:
ratio, amount, name = f[:-4].split('-')
with open(f, 'r') as file:
data = [eval(fps.strip('\r\n')) for fps in file.readlines() if len(fps.strip('\r\n')) > 1]
avgFps = sum(data[5:]) / float(len(data) - 5)
if (amount not in resultDict):
resultDict[amount] = [avgFps]
else:
resultDict[amount].append(avgFps)
print("Amount: {}, Strategy: {}, fps: {}".format(amount, name, avgFps))
amountList = ['1000', '2000', '4000', '8000', '16000', '24000', '32000', '36000', '48000']
ratioList = ['10', '15', '20', '5', '8']
fig = figure(title="Test Result Strategy 4", ylabel="Avg Fps")
xVals = ['Amount'] + amountList
yVals = [ratioList] + [resultDict[amount] for amount in amountList]
print(yVals)
fig.plot(xVals, yVals)
#!/usr/bin/env python # -*- coding: utf-8 -*- from gpcharts import figure grafico1 = figure() grafico1.plot([3, 4, 5, 4, 3])
api = tweepy.API(auth)
all_tweets = []
all_tweets.extend(api.search("max landis mary sue", rpp=100))
date_dict = dict()
for tweet in all_tweets:
date = get_date(tweet)
if date in date_dict:
date_dict[date] += 1
else:
date_dict[date] = 1
print(tweet._json["text"])
print(date_dict)
dates = []
counts = []
for item in date_dict.items():
dates.append(str(item[0]))
counts.append(item[1])
print(len(dates))
print(dates)
print(len(counts))
print(counts)
fig1 = figure()
fig1.plot(dates, counts)
