SerializePlots.sql

USE [TaxiNYC_Sample]
GO

SET ANSI_NULLS ON
GO

SET QUOTED_IDENTIFIER ON
GO

CREATE PROCEDURE [dbo].[SerializePlots]
AS
BEGIN
  SET NOCOUNT ON;
  DECLARE @query nvarchar(max) =
  N'SELECT cast(tipped as int) as tipped, tip_amount, fare_amount FROM [dbo].[nyctaxi_sample]'
  EXECUTE sp_execute_external_script 
  @language = N'Python',
  @script = N'
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
import pandas as pd
import pickle

fig_handle = plt.figure()
plt.hist(InputDataSet.tipped)
plt.xlabel("Tipped")
plt.ylabel("Counts")
plt.title("Histogram, Tipped")
plot0 = pd.DataFrame(data =[pickle.dumps(fig_handle)], columns=["plot"])
plt.clf()

plt.hist(InputDataSet.tip_amount)
plt.xlabel("Tip amount ($)")
plt.ylabel("Counts")
plt.title("Histogram, Tip amount")
plot1 = pd.DataFrame(data =[pickle.dumps(fig_handle)], columns=["plot"])
plt.clf()

plt.hist(InputDataSet.fare_amount)
plt.xlabel("Fare amount ($)")
plt.ylabel("Counts")
plt.title("Histogram, Fare amount")
plot2 = pd.DataFrame(data =[pickle.dumps(fig_handle)], columns=["plot"])
plt.clf()

plt.scatter( InputDataSet.fare_amount, InputDataSet.tip_amount)
plt.xlabel("Fare Amount ($)")
plt.ylabel("Tip Amount ($)")
plt.title("Tip amount by Fare amount")
plot3 = pd.DataFrame(data =[pickle.dumps(fig_handle)], columns=["plot"])
plt.clf()

OutputDataSet = plot0.append(plot1, ignore_index=True).append(plot2, ignore_index=True).append(plot3, ignore_index=True)
',
                                     @input_data_1 = @query
 WITH RESULT SETS ((plot varbinary(max)))
END



GO