Hi,
Please find attached a simple histogram created using the hist()
function. Any idea why the last two bars are squeezed into each other?
Is there a simple way to fix this while plotting?
Thanks,
Amit.
--
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On Thu, Dec 4, 2014 at 6:45 AM, Brendan Barnwell brenb...@brenbarn.net wrote:
On 2014-12-03 12:39, Amit Saha wrote:
Hi,
Please find attached a simple histogram created using the hist()
function. Any idea why the last two bars are squeezed into each other?
Is there a simple way to fix
Hi,
On Thu, Dec 4, 2014 at 7:01 AM, Dino Bektešević ljet...@gmail.com wrote:
Hello,
try doing:
import matplotlib.pyplot as plt
import random
rolls = list()
for i in range(1000):
rolls.append(random.randint(1,6))
plt.hist(rolls, bins=6)
plt.show()
Reason why your histogram is
On Mon, Mar 9, 2015 at 7:31 AM, Prahas David Nafissian
prahas.mu...@gmail.com wrote:
Hi,
I want to create an animation of the Lorenz attractor,
plotting each new point as it is generated by the
equations. So we see the graph being drawn
over time.
You will very likely need to use the
Got my answer here:
http://stackoverflow.com/questions/30301986/matplotlib-imshow-and-pixel-intensity
On Sun, May 17, 2015 at 10:02 PM, Amit Saha amitsaha...@gmail.com wrote:
Hi all,
Just trying to understand how the value of the matrix fed to imshow()
function determines the intensity
Hi all,
Just trying to understand how the value of the matrix fed to imshow()
function determines the intensity of the pixel in grey scale mode.
Consider the example code:
import random
import matplotlib.pyplot as plt
import matplotlib.cm as cm
def pixels(n=3):
pixel_data = []
for _ in
On Sat, May 30, 2015 at 1:50 AM, Paul Hobson pmhob...@gmail.com wrote:
imshow is for displaying arrays as images/rasters.
plot is for showing data/functions as points and lines.
See the gallery for imshow:
http://matplotlib.org/gallery.html#images_contours_and_fields
Thanks Paul. I have
Hi all,
I am trying to understand if there is a way to compare how plot() and
imshow() works for the case where I am not using imshow() to display
an image.
Via the plot() function, I am specifying the points that I want to
plot and also optionally the color that i want the points to be in.
For