The minimum working example so far:
import
matplotlib.pyplot as plt
import
numpy as np
x
= np.arange(0,20.01,0.01)
y
= np.sin(x)
plt.figure()
plt.plot(x,y)
plt.xlabel("$x$")
plt.ylabel("$sin(x)$")
plt.show()
After running the previous code the following figure
is obtained.
Figure 1 – The result of minimum working example (so
far)
As seen from Figure 1 the x values are from 0 to 20
however the matplotlib.pyplot is showing values below 0.0 and above 20.0. The
similar thing can be noticed for y axis (indicated with sin(x)) where the
values are in range from -1.0 up to 1.0 but the matplotlib.pyplot is showing
the y axis range below and above aforementioned range. The idea is to limit the
x range from 0 to 20.0 and extend the y range from -1.5 up to 1.5.
To
set the x in range from 0 to 20.00, and y from -1.5 up to 1.5, type in the
following code just after plt.ylabel but before plt.show().
plt.xlim(0,20.00)
plt.ylim(-1.5,1.5)
By
typing this two lines of code and after running the python code the following figure
should be obtained.
Figure 2 –
The result of xlim (0 - 20.0) and ylim (-1.5 - 1.5) command
The
entire final form of minimum working example.
import matplotlib.pyplot as plt
import
numpy as np
x
= np.arange(0,20.01,0.01)
y
= np.sin(x)
plt.figure()
plt.plot(x,y)
plt.xlabel("$x$")
plt.ylabel("$sin(x)$")
plt.xlim(0,20.0)
plt.ylim(-1.5,1.5)
plt.show()
Nema komentara:
Objavi komentar