![]() ![]() To mark a data point, click on the position on the image. Entering the values of the calibration markers Extracting data points manually You can change the calibration at any time even after extracting data the data gets automatically updated. Numerical value “0.0006,” you can enter “6*10^-4.” To find more on the input syntax, go to the “Math parser” section The input fields can parse and evaluate mathematical expressions. PlotDigitizer offers support for both linear and nonlinear scalesĪfter selecting the scale, enter the appropriate values for the markers (X1, X2, Y1, & Y2 in the case of XY) in the Now, you have to select the correct axis scale. Moving marker X1, X2, Y1, Y2 to known positions Note 2: For better accuracy, it is recommended that you pick calibration points as far as possible. Have to be placed on the X-axis, but it can be drag-and-dropped to any point on the graph where its X-coordinate is The markers can be placed at the known position other than the axes. Placing the markers on the axes of the graph image is not Note 1: You can move the markers to any known positions. Main view) to known positions on the graph image. Move the calibration markers, (X1, X2, Y1, & Y2 on the In the case of the XY graph, you have the X-axis and Y-axis. Depending upon the graph type, you have to Selecting the graph type Calibrating the graphĪfter selecting the graph type, the next step is to calibrate the graph. Once you upload the image to the software, you can change the graph type according to your graph. PlotDigitizer supports all common image file formats the current list is JPG/JPEG, PNG, GIF, WEBP, BMP, SVG, and Uploading the graph image to PlotDigitizer Image file formats You can upload the image to PlotDigitizer by clicking on the upload icon on the top menu bar or by drag-and-dropping Export the extracted data to Python listįor more export options, click on the “view dataset” option on the top menu bar.Copy the extracted data to the clipboard.The saved datasets can be viewed from the “view dataset” icon on the top menu The list isįrom left to right and top to bottom, the descriptions of the elements in the above image is as follows: The dataset panel shows all the extracted data values of the graph in a tabular format.īesides the table, there are some additional functionalities, e.g., save dataset, quick export options. ForĮxample, you can enter 7/2, instead of 3.5 read the math parse section of this documentation to know more about it.įor date/time, there is an integrated data/time picker. Again, thisĮntering numerical values in the input fields is not necessary, instead, you can enter mathematical expressions. Input fields: In the input fields, you have to enter the numerical values of the calibrating markers. Linear, data/time, log base 10, log base e, reciprocal, angle, radian, percent, and fraction. The scale panel varies slightly depending upon the graph type, but two prime elements in the panels are axis type andĪxis type: This option gives users to select the type of axis they are calibrating. You can change the level of magnification from settings (gear icons at the top, right corner).Ĭursor position: The coordinates of the cursor are displayed beneath the zoom panel. When you are calibrating the graph or manually extracting data, you will find the zoom panel very helpful. Useful for improving the precision of a data value while selecting and dropping a marker. The zoom panel is like a magnification glass, and it magnifies the portion of the image around the cursor. Tracing: Automatically extract data values from the graph.Masking: Add mask onto the portion of the image.Color picker: Pick the color of the curve or points that you want to autotrace.Image editor: Edit, crop, rotate, scale, or flip the image or apply an image filter.Show/hide scale: Show/hide the calibration markers. ![]() Reloads the entire app, and clears all ongoing work.Scale panel: It allows you to select the axis type and calibrate the plot.īelow is the list of elements (from left to right) in the menu bar.Dataset panel: The dataset panel displays the extracted data from the graph.Zoom panel: The zoom panel magnifies the portion of the image around the cursor.Main view: This is where the graph image is displayed.Top menu bar: The top menu bar lists all the major controls and gives access to primary functions.It consists of the top menu bar, zoom panel, scale panel, dataset The below image is the first view of the app. The general guide explains all the basic instructions to get started with PlotDigitizer. Select/move/delete multiple data points. ![]()
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