![]() This is where we encounter the first possible complication. You would start by searching for the package, clicking the Download files link on the left side under Navigation and downloading the appropriate file for your operating system and python version. Typically the Python Package Index is the best place to start if you know which package you're looking for. If your great idea depends on additional python packages that we do not include, here is a quick overview of one way you can install those packages. ![]() Iolite comes with many useful python packages, but we cannot anticipate everything our users might want to use python for in iolite. See here for more info, but it is essentially the number of seconds since 00:00:00.000 UTC. Also note that time in iolite is stored as "time since epoch" in seconds. Note that now my downsample_for_export function returns a tuple of time and data so that the downsampled time can be used for plotting purposes. to_excel ( filename, index = False, sheet_name = "Downsampled data" ) from_items ( zip ( columns, data_ds )) df. timeSeriesList (): t_ds, d_ds = downsample_for_export ( channel, tpoint ) if not data_ds : data_ds. getDouble ( None, "Time per point", "Time per point", 1 ) columns = data_ds = for channel in data. reshape ( - 1, n ), 1 )) tpoint = QInputDialog. mean () n = int ( time_per_point / tdelta ) end = n * int ( len ( d ) / n ) return ( np. Import numpy as np import pandas as pd from iolite.QtGui import QFileDialog, QInputDialog def downsample_for_export ( channel, time_per_point ): d = channel. What are the errors and warnings iolite is telling me about?.Using iolite's new Selection Checker tool.Using iolite 3/Igor Pro's color tables in iolite 4.Using a polygonal ROI as a clipping mask.Inserting Timestamps into Old Agilent Files.Getting and manipulating the required data.Synchronizing individual laser log samples.Pb concentration calculations and TotalPb_ppm.The Non-Linearity of the Age Equation and when you might notice it.Calculating major elements as weight % oxide.Getting element data and oxide-to-element factors. ![]() Coverting ppm channels to weight % oxide.Replacing values matching some criteria.Using IsoplotR to plot the concordia age.Using IsoplotR to calculate a concordia age.Doing the calculation for all selections.Creating Scatterplot Matrices using Pandas.A quick correlation matrix as a heatmap.Examining Covariance and Correlation in iolite.Transforming laser data into channels and results.Accessing session data from 3rd party software.Downsampling and exporting time series data.Split selection into several sub selections.Creating selections based on some arithmetic.Adjusting all the selections in a group.The post title comes from “Rotation” by Tom Verlaine off his “Cover” LP. Hopefully this post will help other programmers out there. You may find it easier to use the euler keyword. In the Igor Help File under ModifyGizmo General Settings, it offers the following advice: Quaternions are tough to understand but give excellent control over these objects. It needs programmatic handling of the rotations to capture images of many point sets. This code is part of a larger project to visualise point sets in space. The results is the piewedge now being in the front lower middle of the cube. The first is 90 degrees CCW about X, the next is 135 degrees CCW about Y (after the first rotation) and finally 315 degrees CCW about X (the new X axis after the previous two rotations). So TestIt() applies a quaternion that is the product of three rotations. Home position (0,0,0,0) Result of TestIt(testGiz) Notice how p1 gets reset as the result of the combination of p1 and p2, then combined with a third rotation (in p2) to give the final result, pr. ModifyGizmo/N=$gizName ModifyObject=pieWedge0,objectType=pieWedge,property= AppendToGizmo/N=$gizName/D pieWedge=pieWedge0
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