![]() ![]() ![]() You can find more Matplotlib tutorials here.Python Dictionaries Access Items Change Items Add Items Remove Items Loop Dictionaries Copy Dictionaries Nested Dictionaries Dictionary Methods Dictionary Exercise Python If.Else Python While Loops Python For Loops Python Functions Python Lambda Python Arrays Python Classes/Objects Python Inheritance Python Iterators Python Polymorphism Python Scope Python Modules Python Dates Python Math Python JSON Python RegEx Python PIP Python Try. ![]() fig, axes plt.subplots(nrows3, ncols1) This creates a Figure and Subplots in a 3×1 grid. Specify the number of rows and columns you want with the nrows and ncols arguments. You can use the following code to restore all fonts to their default size at any point: (plt.rcParamsDefault) The plt.subplots () function creates a Figure and a Numpy array of Subplot / Axes objects which you store in fig and axes respectively. This utility wrapper makes it convenient to create common layouts of subplots, including the enclosing figure object, in a single call. The following code shows how to change the font size of the tick labels of the plot: #set tick labels font to size 20 (nrows1, ncols1, sharexFalse, shareyFalse, squeezeTrue, subplotkwNone, gridspeckwNone, figkw) source. The plot of an exponential function looks different on a linear scale compared to a. The following code shows how to change the font size of the axes labels of the plot: #set axes labels font to size 20Įxample 4: Change the Font Size of the Tick Labels Subplots are useful if you want to show the same data on different scales. The following code shows how to change the font size of the title of the plot: #set title font to size 50Įxample 3: Change the Font Size of the Axes Labels The following code shows how to change the font size of every element in the plot: #set font of all elements to size 15Įxample 2: Change the Font Size of the Title Example 1: Change the Font Size of All Elements Note: The default font size for all elements is 10. tightlayout() will work even if the sizes of subplots are different as far as their grid specification is compatible. The following examples illustrates how to change the font sizes of various elements in the following matplotlib scatterplot: import matplotlib.pyplot as plt rc('legend', fontsize=10) #fontsize of the legend rc('ytick', labelsize=10) #fontsize of the y tick labels plt.subplots(figsize(6, 2)) plt.text(0.5, 0.5, 600px x 200px, textkwargs) plt. rc('xtick', labelsize=10) #fontsize of the x tick labels The values of the figsize attribute are a tuple of 2 values. We then create a variable fig, and set it equal to, plt.figure (figsize (6,3)) This creates a figure object, which has a width of 6 inches and 3 inches in height. Scatter plot the predicted values (ypred) with blue color and a line width of 5. We do this with the line, import matplotlib.pyplot as plt. 1 Answer Sorted by: 30 Just switch figure size width and height from: fig plt.figure (figsize (20, 8)) to: fig plt.figure (figsize (8, 20)) to use the whole page for your plots. Create a figure with a size of 15x10 using plt.figure(figsize(15,10)). rc('axes', labelsize=10) #fontsize of the x and y labels So the first thing we have to do is import matplotlib. rc('axes', titlesize=10) #fontsize of the title rc('font', size=10) #controls default text size Fortunately this is easy to do using the following code: import matplotlib.pyplot as plt Often you may want to change the font sizes of various elements on a Matplotlib plot. ![]()
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