Hi all,
Consider the following code:
import matplotlib.pyplot as plt
fig = plt.figure()
ax = fig.gca()
circle = plt.Circle((0, 0), radius = 0.5)
ax.add_patch(circle)
print(plt.axis())
plt.show()
The default axis limits are printed as:
(0.0, 1.0, 0.0, 1.0)
I am not sure why this is the case. S
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 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?
>>
Hi,
On Thu, Dec 4, 2014 at 7:01 AM, Dino Bektešević 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 wei
On Mon, Mar 9, 2015 at 7:31 AM, Prahas David Nafissian
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 animation API for th
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 r
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 wrote:
> Hi all,
>
> Just trying to understand how the value of the matrix fed to imshow()
> function determines the intensity of the p
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
On Sat, May 30, 2015 at 1:50 AM, Paul Hobson 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 since then have
