How to change the size of figures drawn with matplotlib?

How To Change:

To change the size of figures drawn with Matplotlib, you can use the figure() function from the matplotlib.pyplot module and set the figsize parameter to a tuple of width and height in inches. For example:

import matplotlib.pyplot as plt

plt.figure(figsize=(10, 5))
plt.plot(x, y)
plt.show()

This will create a figure with a width of 10 inches and a height of 5 inches.

You can also use the rcParams dictionary to set the default size of figures for the entire session or script. For example:

import matplotlib as mpl
mpl.rcParams['figure.figsize'] = (10, 5)
plt.plot(x, y)
plt.show()

You can use Matplotlib to plot different types of plots such as line plots, scatter plots, histograms, etc. Here is an example of a line plot:

import matplotlib.pyplot as plt

x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]
plt.plot(x, y)
plt.show()

ou can use the savefig() function to save the figure to a file:

plt.savefig('figure.png')

Syntax of matplotlib.pyplot:

import matplotlib.pyplot as plt

figure_name = plt.figure(figsize=(width, height))

How to use it for plotting:

To use Matplotlib for plotting, you will first need to import the matplotlib.pyplot module, which provides a collection of functions for creating various types of plots. Here is an example of how to create a simple line plot:

import matplotlib.pyplot as plt

# create some data to plot
x = [1, 2, 3, 4, 5]
y = [2, 4, 6, 8, 10]

# create the plot
plt.plot(x, y)

# add a title and labels for the axes
plt.title("Line Plot")
plt.xlabel("X-axis")
plt.ylabel("Y-axis")

# show the plot
plt.show()

You can also use the scatter() function to create a scatter plot, hist() function to create a histogram and bar() function to create a bar plot.

#create scatter plot
plt.scatter(x, y)
plt.title("Scatter Plot")
plt.xlabel("X-axis")
plt.ylabel("Y-axis")
plt.show()

#create histogram
plt.hist(y)
plt.title("Histogram")
plt.xlabel("X-axis")
plt.ylabel("Y-axis")
plt.show()

#create bar plot
plt.bar(x, y)
plt.title("Bar Plot")
plt.xlabel("X-axis")
plt.ylabel("Y-axis")
plt.show()

You can also customize the appearance of the plots, such as changing the colors, line styles, marker styles, etc. by passing additional parameters to the plotting functions.