With the subplot() function you can draw multiple plots in one figure:
Draw 2 plots:
import matplotlib.pyplot as plt
import numpy as np
#plot 1:
x = np.array([0, 1, 2, 3])
y = np.array([3, 8, 1, 10])
plt.subplot(1, 2, 1)
plt.plot(x,y)
#plot 2:
x = np.array([0, 1, 2, 3])
y = np.array([10, 20, 30, 40])
plt.subplot(1, 2, 2)
plt.plot(x,y)
plt.show()
With Pyplot, you can use the grid() function to add grid lines to the plot.
Add grid lines to the plot:
import numpy as np
import matplotlib.pyplot as plt
x = np.array([80, 85, 90, 95, 100, 105, 110, 115, 120, 125])
y = np.array([240, 250, 260, 270, 280, 290, 300, 310, 320, 330])
plt.title("Sports Watch Data")
plt.xlabel("Average Pulse")
plt.ylabel("Calorie Burnage")
plt.plot(x, y)
plt.grid()
plt.show()
With Pyplot, you can use the xlabel() and
ylabel()
Add labels to the x- and y-axis:
import numpy as np
import matplotlib.pyplot as plt
x = np.array([80, 85, 90, 95, 100, 105, 110, 115, 120, 125])
y = np.array([240, 250, 260, 270, 280, 290, 300, 310, 320, 330])
plt.plot(x, y)
plt.xlabel("Average Pulse")
plt.ylabel("Calorie Burnage")
plt.show()
You can use the keyword argument linestyle, or shorter ls, to change the style of the plotted line:
Use a dotted line:
import matplotlib.pyplot as plt
import numpy as np
ypoints = np.array([3, 8, 1, 10])
plt.plot(ypoints, linestyle = 'dotted')
plt.show()
Use a dashed line: Continue reading Python Matplotlib Line
You can use the keyword argument marker to emphasize each point with a specified marker:
Mark each point with a circle:
import matplotlib.pyplot as plt
import numpy as np
ypoints = np.array([3, 8, 1, 10])
plt.plot(ypoints, marker = 'o')
plt.show()
The plot() function is used to draw points (markers) in a diagram.
By default, the plot() function draws a line from point to point.
The function takes parameters for specifying points in the diagram.
Parameter 1 is an array containing the points on the x-axis.
Parameter 2 is an array containing the points on the y-axis.
If we need to plot a line from (1, 3) to (8, 10), we have to pass two arrays [1, 8] and [3, 10] to the plot function. Continue reading Python Matplotlib Plotting
Most of the Matplotlib utilities lies under the pyplot submodule, and are usually imported under the plt alias:
import matplotlib.pyplot as plt
Now the Pyplot package can be referred to as plt. Continue reading Python Matplotlib Pyplot
If you have Python and PIP already installed on a system, then installation of Matplotlib is very easy.
Install it using this command:
C:\Users\Your Name>pip install matplotlib
If this command fails, then use a python distribution that already has Matplotlib installed, like Anaconda, Spyder etc.
Matplotlib is a low level graph plotting library in python that serves as a visualization utility.
Matplotlib was created by John D. Hunter.
Matplotlib is open source and we can use it freely.
Matplotlib is mostly written in python, a few segments are written in C, Objective-C and Javascript for Platform compatibility.
To delete a file, you must import the OS module, and run its os.remove() function:
Remove the file “demofile.txt”:
import os
os.remove("demofile.txt")
To avoid getting an error, you might want to check if the file exists before you try to delete it : Continue reading Python Delete File