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prashant_agrawall
Belgium
4 Posts |
Posted - 03/12/2014 : 05:54:52 AM
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Hi,
What will be the custom formula (and its inverse formula) for scaling on X axis for the following values: 100, 125, 150, 750, 1350, 1950, 2550, 3150
Thanks Prashant |
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SeanMao
China
288 Posts |
Posted - 03/12/2014 : 06:52:10 AM
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Hi Prashant, If you have data set like the following:
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Double click on the Y axis to bring up the dialog box and choose Custom Formula as Type under Y Axis:Scale. Input Direct Formula, Inverse Formula as shown in figure below and choose Major Ticks Type as By Dataset and select column A as input.
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You will have the label like the figure below:
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Sean
Originlab Technical Service |
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prashant_agrawall
Belgium
4 Posts |
Posted - 03/12/2014 : 08:15:02 AM
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Hello Sean
Thank you very much for your prompt response. However, I am afraid that I am still facing the issue.
Following is an example data which I wish to plot as column graph:
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I wish to obtain a graph like this -
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In OriginLab, if I use linear scaling in x-axes I get the following -
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I tried custom formula for scaling on x-axes, as shown below -
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However, I get the following plot -
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Kindly advise if I am doing something wrong.
Thanks Prashant
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snowli
USA
1407 Posts |
Posted - 03/12/2014 : 09:14:04 AM
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Hello,
Thank you for sending the data and expected graph. It looks you just want to make sure all x values show as tick labels in order.
Select column A and choose Column: Set as Categorical and then highlight column B, C and D to plot column graph will do the trick.
When setting a column as categorical, it will treat the column as text and enough unique value will be mapped to a number from 1 to N. Tick labels will be categorical and read from the categorical column. You can see it from Tick Labels: Bottom subnode of Axis db.
Then you can customize your Y axis to be log10, and also double click plot to customize the fill color list on Group tab.
Thanks, Snow Li OriginLab Corp. |
Edited by - snowli on 03/12/2014 09:27:57 AM |
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prashant_agrawall
Belgium
4 Posts |
Posted - 03/12/2014 : 10:28:29 AM
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Hello Snow Li
Thank you very much for your response. Your suggestion indeed solves the issue I am facing.
Thanks Prashant |
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