#Subplot size matplotlib how to#
Read: How to install matplotlib python Matplotlib subplot title padding We have set the different positions of the various title texts in the figure. Plt.title('Plot 4: 4th Degree curve', loc='right', fontsize=15) Plt.title('Plot 3: 3rd Degree curve', loc='left', fontsize=15) Plt.title('Plot 2: 2nd Degree curve', loc='right', fontsize=15) Plt.title('Plot 1: 1st Degree curve', loc='left', fontsize=15) Plt.suptitle('Different degree curves', x=0.5, y=0, fontsize=17, fontweight='700') Let’s see how can we implement the concept: # Import necessary libraries The values to the x and y parameters represent the x and y coordinates respectively in the figure coordinates. We can specify the position of the title text of the figure by adding two more parameters x and y in the () function. Read: modulenotfounderror: no module named ‘matplotlib’ Matplotlib subplot title position We have changed the font-weight to make the title text bold for the figure. Plt.suptitle('Different degree curves', fontsize=19, fontweight='bold') We can make the font of the title text to be bold (for both figure title and subplot title) in the matplotlib by adding a parameter fontweight with the necessary integer value (600+ for the bold font) or the string ‘bold’ in the () or/and () function. Read: Matplotlib plot a line Matplotlib subplot title bold We have adjusted the size of the fonts of the title text of the figure and the subplots. Plt.title('Plot 4: 4th Degree curve', fontsize=15) Plt.title('Plot 3: 3rd Degree curve', fontsize=15) Plt.title('Plot 2: 2nd Degree curve', fontsize=15) Plt.title('Plot 1: 1st Degree curve', fontsize=15)
Plt.suptitle('Different degree curves', fontsize=19) Let’s practice an example: # Import necessary libraries We 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.
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