I would like to convert a few data-points in a tf.train.Example record shown below into Dataframe to make them human-readable. I tried to use a python library pandas-tfrecords 0.1.4
converter but it can only convert the entire tfrecord file to dataframe which i do not need. tips will be appreciated
Note: This is Taxi Trips dataset from the City of Chicago. The columns are: company, dropoff_census_tract, dropoff_community_area, dropoff_latitude, dropoff_longitude, fare, payment_type, pickup_census_tract, pickup_community_area, pickup_latitude, pickup_longitude, tips, trip_miles,
trip_seconds, trip_start_day, trip_start_hour, trip_start_month, trip_start_timestamp.
feature {
key: "company"
value {
bytes_list {
value: "Chicago Elite Cab Corp. (Chicago Carriag"
}
}
}
feature {
key: "dropoff_census_tract"
value {
int64_list {
}
}
}
feature {
key: "dropoff_community_area"
value {
int64_list {
}
}
}
feature {
key: "dropoff_latitude"
value {
float_list {
}
}
}
feature {
key: "dropoff_longitude"
value {
float_list {
}
}
}
feature {
key: "fare"
value {
float_list {
value: 12.449999809265137
}
}
}
feature {
key: "payment_type"
value {
bytes_list {
value: "Credit Card"
}
}
}
feature {
key: "pickup_census_tract"
value {
int64_list {
}
}
}
feature {
key: "pickup_community_area"
value {
int64_list {
}
}
}
feature {
key: "pickup_latitude"
value {
float_list {
}
}
}
feature {
key: "pickup_longitude"
value {
float_list {
}
}
}
feature {
key: "tips"
value {
float_list {
value: 0.0
}
}
}
feature {
key: "trip_miles"
value {
float_list {
value: 0.0
}
}
}
feature {
key: "trip_seconds"
value {
int64_list {
value: 0
}
}
}
feature {
key: "trip_start_day"
value {
int64_list {
value: 6
}
}
}
feature {
key: "trip_start_hour"
value {
int64_list {
value: 19
}
}
}
feature {
key: "trip_start_month"
value {
int64_list {
value: 5
}
}
}
feature {
key: "trip_start_timestamp"
value {
int64_list {
value: 1400269500
}
}
}
}
question from:
https://stackoverflow.com/questions/65601525/tf-train-example-output-to-dataframe 与恶龙缠斗过久,自身亦成为恶龙;凝视深渊过久,深渊将回以凝视…