3.3.4 Creating a Scatter Plot from Worksheet


This example imports an ASCII file into an Origin worksheet, then makes a scatter plot. Before importing we perform lexical analysis to exclude all the non-numeric content so that only numeric values are imported into the worksheet.

We call the member functions in Worksheet Category to set up a worksheet as data container, then call the member functions in Column Category to configure the column properties such as XY designations and labels. At last, functions such as CreatePage and AddPlot are used for creating a scatter plot from Worksheet data.


# This PyOrigin example will import an ASCII file into an Origin worksheet and
# create a scatter plot from the data.
import PyOrigin
import math

# Define function to test if string represents a number.
def isNumber(str):
		return 1;
	except ValueError:
		return 0;

# Get path and name of a data file in Origin's Samples folder.
originPath = PyOrigin.GetPath(PyOrigin.PATHTYPE_SYSTEM)
dataFileName = originPath + "\\Samples\\Curve Fitting\\Step01.dat"

# Read all non-empty lines from file.
content = [i for i in open(dataFileName) if i[:-1]]
totalrow = len(content)

# Count header lines by finding first row with 80% of it's content is numeric.
elementFlag = []
rowFlag = []
for i in list(range(totalrow)):
	content[i] = content[i].rstrip().split("\t")
	elementFlag = [isNumber(element) for element in content[i]]
	if sum(elementFlag) / len(elementFlag) < 0.8:

headerlines = len(rowFlag) - rowFlag[::-1].index(0)
nheadercol = max([len(x) for x in content[0:headerlines]])

colUnits = content[headerlines - 2]    # second last header line has units
colComments = content[headerlines - 1] # last header line has comments
colLongNames = []
colLongNames.extend(''.join(element) for element in content[0:headerlines - 2])
colLongNames = '         '.join(colLongNames)

## Number of numeric columns and rows
ncol = max([len(x) for x in content[headerlines:totalrow]])
nrow = totalrow - headerlines

## Obtain numeric data in file "Step01.dat"
data = []
columns = []
for i in list(range(ncol)):
	columns = [float(element[i]) if isNumber(element[i]) else element[i] for element in content[headerlines:totalrow]]

# Create worksheet page named 'MyData' using template named 'Origin'.
pgName = PyOrigin.CreatePage(PyOrigin.PGTYPE_WKS, "MyData", "Origin", 1)
wp = PyOrigin.Pages(str(pgName)) # Get page
wks = PyOrigin.ActiveLayer()     # Get sheet

# Setup worksheet.
wks.SetData(data, -1)                     # Put imported data into worksheet.
wks.SetName(dataFileName.split("\\")[-1]) # Set sheet name to file name without path.

# Set worksheet X column designations.
for i in list(range(math.floor(ncol / 2))):
	wks.Columns(2 * i + 1).SetType(PyOrigin.COLTYPE_DESIGN_X)

# Set worksheet label rows.
for i in list(range(nheadercol)):

# Create graph page named 'MyGraph' using template named 'Origin'.
pgName = PyOrigin.CreatePage(PyOrigin.PGTYPE_GRAPH, "MyGraph", "Origin", 1)
gp = PyOrigin.Pages(str(pgName))
gp.LT_execute("layer1.x.opposite = 1;layer1.y.opposite = 1;")
gl = gp.Layers(0)

# Create data range and plot it into the graph layer.
rng = PyOrigin.NewDataRange()  # Create data range.
rng.Add('X', wks, 0, 1, -1, 1) # Add worksheet's 2nd col as X.
rng.Add('Y', wks, 0, 2, -1, 2) # Add worksheet's 3rd col as Y.
dp = gl.AddPlot(rng, 201)      # Plot data range.