from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
import IStudio as vi
import numpy as np
import time
table = vi.IPDataTable("Data-2")
table.SetTableType(vi.TableType.General, True)
table.ModifyOption(
vi.TableOption.ShowTabNavigator | vi.TableOption.ShowFormularBar, False)
table.ModifyOption(vi.TableOption.VerticalTab, True)
table.ModifyPopupMenu(0xFFFFFFFF, True)
table.SetTopHeaderNum(2)
table.SetLeftHeaderNum(0)
table.SelectSheet(0)
table.SetRowNumber(12)
table.SetColNumber(10)
table.SetSheetName(0, "Setup")
name = table.GetFont(1)
if (name is not None and len(name) > 0):
p = 1
else:
p = table.AddFont("", 14, 0, vi.FontStyleWeight.FontWeight_Bold)
table.JointCells(0, 0, 0, 1)
table.JointCells(1, 0, 1, 1)
table.SetCellFillColor(0, 0, 10, 1, 20)
import numpy as np
import IStudio as iv
import IMath as im
#get graph and data table
graph = iv.IPGraph("Graph3D-1")
xaxis = graph.Axes(0)
xaxis.ModifyOption((iv.AxisOptions.AutoScale), True)
yaxis = graph.Axes(1)
yaxis.ModifyOption((iv.AxisOptions.AutoScale), True)
zaxis = graph.Axes(2)
zaxis.ModifyOption((iv.AxisOptions.AutoScale), True)
table = iv.IPDataTable("Data-2")
fittingmath = im.IPFitting()
#get data from data table, type some data in col1, col2 and clo3
x = np.zeros(7)
n = table.GetColData(1, 1, 7, 1, x)
y = np.zeros(7)
n = table.GetColData(2, 1, 7, 1, y)
z = np.zeros(7)
n = table.GetColData(3, 1, 7, 1, z)
#clear all plots
graph.RemovePlot(-1)
#plot raw data
plot1 = graph.NewPlot("xyz")
plot1.SetLineStyle(iv.LineType.LineType_None)
plot1.SetPointStyle(iv.IconType.Icon_CircleEmpty)
plot1.SetPointColor(iv.MakeColor(255, 0, 0))
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
import IStudio as vi
import numpy as np
import pandas as pd
table = vi.IPDataTable("Data-1")
table.SetTableType(vi.TableType.General, True)
table.ModifyOption(vi.TableOption.ShowTab | vi.TableOption.ShowFormularBar,
False)
table.ModifyPopupMenu(0xFFFFFFFF, True)
table.SetRowNumber(14)
table.SetColNumber(14)
table.SetTopHeaderNum(1)
name = table.GetFont(1)
if (name is not None and len(name) > 0):
p = 1
else:
p = table.AddFont("", 14, 0, vi.FontStyleWeight.FontWeight_Bold)
table.SetCellFont(0, 0, 10, 0, p)
table.SetCellText(0, 0, "Channel")
table.SetCellText(1, 0, "Status")
table.SetCellText(2, 0, "Port Number")
table.SetCellText(3, 0, "Channel Number")
table.SetCellText(4, 0, "Status Data")
table.SetReadOnly(2, 1, 2, 3, True)
table.SetCellFillColor(2, 1, 2, 10, 21)
import numpy as np
import IStudio as iv
import IMath as im
#get graph and data table
graph = iv.IPGraph("Plot-1")
table = iv.IPDataTable("Data-1")
fittingmath = im.IPFitting()
#get data from data table, type some data in col1 and col2
x = np.zeros(5)
n = table.GetColData(1, 1, 5, 1, x)
y = np.zeros(5)
n = table.GetColData(2, 1, 5, 1, y)
#clear all plots
graph.RemovePlot(-1)
#plot raw data
plot1 = graph.NewPlot("xy")
plot1.SetLineStyle(iv.LineType.LineType_None)
plot1.SetPointStyle(iv.IconType.Icon_CircleEmpty)
plot1.SetPointColor(iv.MakeColor(255, 0, 0))
plot1.PlotXY(x, y)
statistics = np.zeros(20)
ox = np.zeros(100)
oy = np.zeros(100)
for i in range(100):
ox[i] = i * 0.05
output = fittingmath.LeastSquareLinear(x, y, statistics, ox, oy)
print(output)
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
import IStudio as vi
import numpy as np
import time
table = vi.IPDataTable("Data-3")
table.SetTableType(vi.TableType.Header, True)
table.ModifyOption(vi.TableOption.ShowTabNavigator | vi.TableOption.ShowFormularBar, False)
table.ModifyPopupMenu(0xFFFFFFFF, True)
table.SelectSheet(0)
table.SetRowNumber(1000)
table.SetColNumber(1000)
table.SetSheetName(0, "Page-1")
for col in range(100):
data = np.random.normal(50, 50, 1000)
table.SetColData(col, 1, data, False)
for row in range(100):
if data[row] > 199.9:
table.SetCellFillColor(col, row, col, row, 16)
if table.GetSheetNumber() < 2:
table.AddSheet("Page-2")
table.SelectSheet(1);
for col in range(100):
data = np.random.normal(50, 50, 1000)