Your tasks are as follows: 1. Read data from thingspeak (channel no: 644166). 2. You may either use HTTP or MQTT protocols for connecting thingspeak server 3. In this channel there are five fields containing data (number of data in each filed is 200). Contents of each field should be in a column of a feature matrix. So, your feature matrix will be of dimensions 200 x 5, each column containing data from each field. import urllib import json import numpy as np #mqtt_api_key = '3GZ0LWRKWFKEUIPS' # for those students who want to complete the task using MQTT channel_no = 644166 # this is the channel no that we will get data from number_of_results = 100 number_of_feats = 5 field_no = 1 # if you are going to get data from each of the fileds separately, you may need to increase this number within a loop upto number_of_feats feature_matrix = np.zeros([number_of_results, number_of_feats]) # replace the zero entries of feature_matrix with the data you read from thingspeak # first generate the URL for getting data from thingspeak # call this URL using the appropriate function of urllib library # convert what you get from URL call into a python dictionary using json library # iterate over the contents of the library and write the data into feature_matrix
Your tasks are as follows:
1. Read data from thingspeak (channel no: 644166).
2. You may either use HTTP or MQTT protocols for connecting thingspeak server
3. In this channel there are five fields containing data (number of data in each filed is 200).
Contents of each field should be in a column of a feature matrix. So, your feature matrix will be of dimensions 200 x 5, each column containing data from each field.
import urllib
import json
import numpy as np
#mqtt_api_key = '3GZ0LWRKWFKEUIPS' # for those students who want to complete the task using MQTT
channel_no = 644166 # this is the channel no that we will get data from
number_of_results = 100
number_of_feats = 5
field_no = 1 # if you are going to get data from each of the fileds separately, you may need to increase this number within a loop upto number_of_feats
feature_matrix = np.zeros([number_of_results, number_of_feats])
# replace the zero entries of feature_matrix with the data you read from thingspeak
# first generate the URL for getting data from thingspeak
# call this URL using the appropriate function of urllib library
# convert what you get from URL call into a python dictionary using json library
# iterate over the contents of the library and write the data into feature_matrix
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