1/28/2024 0 Comments Subplot figsizeWe can specify the font size of the title text (for both figure title and subplot title) in the matplotlib by adding a parameter fontsize with the necessary integer value of the size of the font in the () or/and () function. Read: Python plot multiple lines using Matplotlib Matplotlib subplot title font size Let’s practice it through an example: # Import necessary libraries We can also give the title to each subplot in the figure in the matplotlib by specifying the title text in the () function with each subplot commands individually. Matplotlib subplot title overall Matplotlib subplot title for each plot Let’s do some examples to practice the concepts: # Import necessary libraries For example, (437) is the same as (4, 3, 7) in python, where a plot is added in a figure having 4 rows and 3 columns, and the plot is added to the 3rd-row’s 1st-column(at the 7th index). NOTE: The 3-digit integer can be passed in the () function, where the 3-digits represent the 3 parameters of the function. The returned axes is the subplot base class if the projection specified is rectilinear projection (default projection) and the returned axes is a subplot subclass of the base class, if the projection specified is polar projection. This command returns the axes of the subplots as axes.SubplotBase (base class) or another subclass of the Axes.There are some other optional parameters like label, projection, sharex, sharey, polar, etc.For example, subplots(6, 2, (1, 4)) will fill the upper 1/3rd (i.e., 4/6th) part of the figure. idx can also be specified as a tuple of two integers specfying the first and last indices including the last index in the grid.The index starts from 1 at the upper-left corner and increases to the right. idx specifies the index position of the plot on the grid.ncols specifies the number of columns in the grid, drawn on the figure for subplots.nrows specifies the number of rows in the grid, drawn on the figure for subplots.The syntax is as follows: (nrows, ncols, idx ) We can create a figure with multiple subplots using the () function in python. Matplotlib provides the feature to create a figure with multiple plots in a single call, with proper control over each plot in the figure, individually. Matplotlib subplot spacing between plots.Therefore I would suggest to go for one of these options. png the labels are nicely readable, even for very large zooming (beyond something useful for a LaTeX document). To avoid difficulties in readability due to resolution issues a vector format is best.Plt.savefig('example1.png', bbox_inches='tight', format='png') Plt.savefig('example1.pdf', bbox_inches='tight', format='pdf') Image = np.concatenate((image, row_image))Īxes.set_yticks()Īxes.set_yticklabels(, rotation=90, fontsize=30, va="center") # va="center" centers the label nicely Row_image = np.concatenate(images, axis=1) Unfortunately I do not have a direct solution for these gaps, but since I was wondering why not combining the images in numpy and then using matplotlib for the labelling, I played around a bit based on your code (by the way, thanks for the very nice example code!):įig = plt.figure(figsize=(13, 9), dpi=dpi)Ĭolors = # used to crate a chessboard pattern, which was better for visual feedback Depending on the scaling of the image in your final document the dimensions will become irrelevant. I do not get why you would need specific dimensions. Plt.savefig('example.png', bbox_inches='tight', format='png') Images = įor col_idx, (col, image) in enumerate(zip(row, images)): In addition, I do not know what is the best format in which I should save this image, so that the text is in good quality and so that the quality of the image does not degrade significantly when zooming (I will be using this image in Latex).īelow I attach a simple example for reproduction.Plt.subplots_adjust(wspace=0, hspace=0, left=0, bottom=0, right=1, top=1) My second problem is that despite setting wspace=0 and hspace=0, there are gaps between the subplots. Unfortunately, when I save this image, its dimensions are 2359 x 1720. cols = 9įig, axes = plt.subplots(rows, cols, figsize=(img_size * cols // dpi, img_size * rows // dpi), dpi=dpi) I've found that a good way is to set the dpi parameter to 100, and for example the height as the height in pixels divided by the dpi value. Unfortunately, I'm having trouble setting the right figsize and dpi values. However, I decided to use matplotlib, because it is much easier to add labels to the axes with it. The easiest way for me to do this would be using numpy and concatenating the images together using, for example, np.concatenate. I would like these images not to be resized, that is, I would like the resulting image to have dimensions of at least 9 * 256 x 7 * 256 = 2304 x 1792. Each component image has dimensions of 256 x 256. I would like the resulting image to consist of 7 rows and 9 columns.
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