Adding InfluxDB import command for shampoo data

Author: JBris

python/ec2_cpu_utilization/README.md

@@ -5,7 +5,5 @@ Place data set in the local data directory. View the [references.md](references.
 ## Importing to InfluxDB
 
 ```
-csv-to-influxdb.py -i $(pwd)/data/ec2_cpu_utilization_5f5533.csv -s ${INFLUXDB_HOST}:8086 -tc timestamp \ 
---metricname value --fieldcolumns value --dbname ec2 --create \ 
--b 5000
+csv-to-influxdb.py -i $(pwd)/data/ec2_cpu_utilization_5f5533.csv -s ${INFLUXDB_HOST}:8086 -tc timestamp --metricname value --fieldcolumns value --dbname ec2 --create -b 5000
 ```

python/nasa_bearings/README.md

@@ -5,7 +5,5 @@ Place data set in the local data directory. View the [references.md](references.
 ## Importing to InfluxDB
 
 ```
-csv-to-influxdb.py -i $(pwd)/data/merged_dataset_BearingTest_2.csv -s ${INFLUXDB_HOST}:8086 -tc timestamp \ 
---metricname value --fieldcolumns 'Bearing 1','Bearing 2','Bearing 3','Bearing 4' --dbname nasa --create \ 
--b 5000
+csv-to-influxdb.py -i $(pwd)/data/merged_dataset_BearingTest_2.csv -s ${INFLUXDB_HOST}:8086 -tc timestamp --metricname value --fieldcolumns 'Bearing 1','Bearing 2','Bearing 3','Bearing 4' --dbname nasa --create -b 5000
 ```

python/shampoo_sales/README.md

@@ -5,7 +5,5 @@ Place data set in the local data directory. View the [references.md](references.
 ## Importing to InfluxDB
 
 ```
-csv-to-influxdb.py -i $(pwd)/data/shampoo.csv -s ${INFLUXDB_HOST}:8086 -tc Month \ 
---metricname value --fieldcolumns Sales --dbname shampoo_sales --create \ 
--b 5000
+csv-to-influxdb.py -i $(pwd)/data/shampoo.csv -s ${INFLUXDB_HOST}:8086 -tc Month -tf '%Y-%m-%d' --metricname value --fieldcolumns Sales --dbname shampoo_sales --create -b 5000
 ```

python/ts_price_anomaly_detection/README.md

@@ -5,7 +5,5 @@ Place data set in the local data directory. View the [references.md](references.
 ## Importing to InfluxDB
 
 ```
-csv-to-influxdb.py -i $(pwd)/data/train.csv -s ${INFLUXDB_HOST}:8086 -tc date_time \ 
---metricname price_usd --fieldcolumns price_usd --dbname hotels --create \ 
--b 10000 --tagcolumns srch_saturday_night_bool, srch_booking_window
+csv-to-influxdb.py -i $(pwd)/data/train.csv -s ${INFLUXDB_HOST}:8086 -tc date_time --metricname price_usd --fieldcolumns price_usd --dbname hotels --create -b 10000 --tagcolumns srch_saturday_night_bool, srch_booking_window
 ```