pyplot zooming in
Question:
I am trying to plot some data from FITS files and I wanted to know if anyone knows how to focus on certain regions of a plot’s axis? Here is some example code:
import pyfits
from matplotlib import pyplot as plt
from matplotlib import pylab
from pylab import *
#Assuming I have my data in the current directory
a = pyfits.getdata('fits1.fits')
x = a['data1'] # Lets assume data1 is the column: [0, 1, 1.3, 1.5, 2, 4, 8]
y = a['data2'] # And data2 is the column: [0, 0.5, 1, 1.5, 2, 2.5, 3]
plt.plot(x,y)
How could I only plot the region from [1.3 to 4] in the x-axis?
Answers:
This question has nothing to do with how you manipulate pyfits, but simply a matter of adding
plt.xlim(1.3, 4.0)
to your code before plt.show()
Use the plt.axis() function with your limits.
plt.axis([x_min, x_max, y_min, y_max])
where x_min, x_max, y_min, and y_max are the coordinate limits for both axes.
I am trying to plot some data from FITS files and I wanted to know if anyone knows how to focus on certain regions of a plot’s axis? Here is some example code:
import pyfits
from matplotlib import pyplot as plt
from matplotlib import pylab
from pylab import *
#Assuming I have my data in the current directory
a = pyfits.getdata('fits1.fits')
x = a['data1'] # Lets assume data1 is the column: [0, 1, 1.3, 1.5, 2, 4, 8]
y = a['data2'] # And data2 is the column: [0, 0.5, 1, 1.5, 2, 2.5, 3]
plt.plot(x,y)
How could I only plot the region from [1.3 to 4] in the x-axis?
This question has nothing to do with how you manipulate pyfits, but simply a matter of adding
plt.xlim(1.3, 4.0)
to your code before plt.show()
Use the plt.axis() function with your limits.
plt.axis([x_min, x_max, y_min, y_max])
where x_min, x_max, y_min, and y_max are the coordinate limits for both axes.