#!/usr/bin/env python2 # -*- coding: utf-8 -*- """ Created on Sat Sep 15 10:54:53 2018@author: liuxing讀取文件 """ import tensorflow as tf import osg=tf.Graph() with g.as_default():#生成文件名隊列fileName=os.getcwd()+"/diabetes.csv"fileNameQueue=tf.train.string_input_producer([fileName])#生成記錄鍵值對reader=tf.TextLineReader(skip_header_lines=1)key,value=reader.read(fileNameQueue)with tf.Session(graph=g) as sess:# 開始產(chǎn)生文件名隊列coord = tf.train.Coordinator()threads = tf.train.start_queue_runners(coord=coord)print "key:"print sess.run(key)#文件名print "values:"print sess.run(value)#讀取一行的內(nèi)容coord.request_stop()coord.join(threads)

key:
/Users/xxxxx/Documents/AIstudy/tf/diabetes.csv:2
values:
1,85,66,29,0,26.6,0.351,31,0

#!/usr/bin/env python2 # -*- coding: utf-8 -*- """ Created on Sat Sep 15 10:54:53 2018@author: liuxing讀取文件 Pregnancies,Glucose,BloodPressure,SkinThickness,Insulin,BMI,DiabetesPedigreeFunction,Age,Outcome """ import tensorflow as tf import osg=tf.Graph() with g.as_default():#生成文件名隊列fileName=os.getcwd()+"/1.csv"fileNameQueue=tf.train.string_input_producer([fileName])#生成記錄鍵值對reader=tf.TextLineReader(skip_header_lines=1)key,value=reader.read(fileNameQueue)recordDefaults=[[1.],[1.],[1.],[1.],[1.],[1.],[1.],[1.],[1.]]decoded=tf.decode_csv(value,record_defaults=recordDefaults)pregnancies,glucose,bloodPressure,skinThickness,insulin,bmi,diabetespedigreefunction,age,outcome=tf.train.shuffle_batch(decoded,batch_size=2,capacity=1000,min_after_dequeue=1) features=tf.transpose(tf.stack([pregnancies,glucose,bloodPressure,skinThickness,insulin,bmi,diabetespedigreefunction,age,outcome]))with tf.Session(graph=g) as sess:# 開始產(chǎn)生文件名隊列coord = tf.train.Coordinator()threads = tf.train.start_queue_runners(coord=coord)print "鍵:"print sess.run(key)#文件名print "值:"print sess.run(value)#讀取一行的內(nèi)容print "屬性:"print sess.run(features) coord.request_stop()coord.join(threads)

鍵:
/Users/xxx/Documents/AIstudy/tf/1.csv:2
值:
1,89,66,23,94,28.1,0.167,21,0
屬性:
[[ 1. 89. 66. … 0.167 21. 0. ]
[ 6. 148. 72. … 0.627 50. 1. ]]

1.csv

Pregnancies,Glucose,BloodPressure,SkinThickness,Insulin,BMI,DiabetesPedigreeFunction,Age,Outcome
6,148,72,35,0,33.6,0.627,50,1
1,85,66,29,0,26.6,0.351,31,0
8,183,64,0,0,23.3,0.672,32,1
1,89,66,23,94,28.1,0.167,21,0

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