remove remaining plt.show()

Author: Robert (Bob) Turner

_episodes/04-drawing.md

@@ -217,7 +217,6 @@ The function returns the rectangle as row (`rr`) and column (`cc`) coordinate ar
 > > # Display the image
 > > fig, ax = plt.subplots()
 > > plt.imshow(image)
-> > plt.show()
 > > ~~~
 > > {: .language-python}
 > >
@@ -248,7 +247,6 @@ The function returns the rectangle as row (`rr`) and column (`cc`) coordinate ar
 > > # display the results
 > > fig, ax = plt.subplots()
 > > plt.imshow(image)
-> > plt.show()
 > > ~~~
 > > {: .language-python}
 > >
@@ -298,7 +296,6 @@ The function returns the rectangle as row (`rr`) and column (`cc`) coordinate ar
 > > # display the results
 > > fig, ax = plt.subplots()
 > > plt.imshow(image)
-> > plt.show()
 > > ~~~
 > > {: .language-python}
 > {: .solution}
@@ -405,7 +402,6 @@ The resulting masked image should look like this:
 > > # Display the result
 > > fig, ax = plt.subplots()
 > > plt.imshow(image)
-> > plt.show()
 > > ~~~
 > > {: .language-python}
 > {: .solution}
@@ -422,7 +418,6 @@ The resulting masked image should look like this:
 > # Display the image
 > fig, ax = plt.subplots()
 > plt.imshow(image)
-> plt.show()
 > ~~~
 > {: .language-python}
 >
@@ -469,7 +464,6 @@ The resulting masked image should look like this:
 > > # display the result
 > > fig, ax = plt.subplots()
 > > plt.imshow(image)
-> > plt.show()
 > > ~~~
 > > {: .language-python}
 > >
@@ -538,7 +532,6 @@ The resulting masked image should look like this:
 > > # display the result
 > > fig, ax = plt.subplots()
 > > plt.imshow(image)
-> > plt.show()
 > > ~~~
 > > {: .language-python}
 > {: .solution}

_episodes/05-creating-histograms.md

@@ -122,7 +122,6 @@ plt.ylabel("pixel count")
 plt.xlim([0.0, 1.0])  # <- named arguments do not work here
 
 plt.plot(bin_edges[0:-1], histogram)  # <- or here
-plt.show()
 ~~~
 {: .language-python}
 
@@ -201,7 +200,6 @@ it produces this histogram:
 > > # display the image
 > > fig, ax = plt.subplots()
 > > plt.imshow(image, cmap="gray")
-> > plt.show()
 > >
 > > # create mask here, using np.zeros() and skimage.draw.rectangle()
 > > mask = np.zeros(shape=image.shape, dtype="bool")
@@ -211,7 +209,6 @@ it produces this histogram:
 > > # display the mask
 > > fig, ax = plt.subplots()
 > > plt.imshow(mask, cmap="gray")
-> > plt.show()
 > >
 > > # mask the image and create the new histogram
 > > histogram, bin_edges = np.histogram(image[mask], bins=256, range=(0.0, 1.0))
@@ -225,7 +222,6 @@ it produces this histogram:
 > > plt.xlim([0.0, 1.0])
 > > plt.plot(bin_edges[0:-1], histogram)
 > >
-> > plt.show()
 > > ~~~
 > > {: .language-python}
 > >
@@ -280,8 +276,6 @@ for channel_id, c in zip(channel_ids, colors):
 plt.title("Color Histogram")
 plt.xlabel("Color value")
 plt.ylabel("Pixel count")
-
-plt.show()
 ~~~
 {: .language-python}
 
@@ -379,7 +373,6 @@ Finally we label our axes and display the histogram, shown here:
 > # display the image
 > fig, ax = plt.subplots()
 > plt.imshow(image)
-> plt.show()
 > ~~~
 > {: .language-python}
 > ![Well plate image](../fig/wellplate-02.jpg)
@@ -420,7 +413,6 @@ Finally we label our axes and display the histogram, shown here:
 > > # validity of your mask
 > > fig, ax = plt.subplots()
 > > plt.imshow(masked_img)
-> > plt.show()
 > >
 > > # list to select colors of each channel line
 > > colors = ("red", "green", "blue")
@@ -442,7 +434,6 @@ Finally we label our axes and display the histogram, shown here:
 > > plt.xlabel("color value")
 > > plt.ylabel("pixel count")
 > >
-> > plt.show()
 > > ~~~
 > > {: .language-python}
 > {: .solution}

_episodes/06-blurring.md

@@ -323,7 +323,6 @@ plt.imshow(blurred)
 > > # display blurred image
 > > fig, ax = plt.subplots()
 > > plt.imshow(blurred)
-> > plt.show()
 > > ~~~
 > > {: .language-python}
 > >

_episodes/07-thresholding.md

@@ -126,7 +126,6 @@ plt.title("Grayscale Histogram")
 plt.xlabel("grayscale value")
 plt.ylabel("pixels")
 plt.xlim(0, 1.0)
-plt.show()
 ~~~
 {: .language-python}
 
@@ -236,7 +235,6 @@ plt.imshow(selection)
 > > plt.xlabel("gray value")
 > > plt.ylabel("pixel count")
 > > plt.xlim(0, 1.0)
-> > plt.show()
 > > ~~~
 > > {: .language-python}
 > >
@@ -265,7 +263,6 @@ plt.imshow(selection)
 > >
 > > fig, ax = plt.subplots()
 > > plt.imshow(binary_mask, cmap="gray")
-> > plt.show()
 > > ~~~
 > > {: .language-python}
 > >
@@ -279,7 +276,6 @@ plt.imshow(selection)
 > >
 > > fig, ax = plt.subplots()
 > > plt.imshow(selection)
-> > plt.show()
 > > ~~~
 > > {: .language-python}
 > >
@@ -337,7 +333,6 @@ plt.title("Graylevel histogram")
 plt.xlabel("gray value")
 plt.ylabel("pixel count")
 plt.xlim(0, 1.0)
-plt.show()
 ~~~
 {: .language-python}
 
@@ -696,7 +691,6 @@ data/trial-293.jpg,0.13607895611702128
 > > plt.xlabel("gray value")
 > > plt.ylabel("pixel count")
 > > plt.xlim(0, 1.0)
-> > plt.show()
 > > ~~~
 > > {: .language-python}
 > >
@@ -717,7 +711,6 @@ data/trial-293.jpg,0.13607895611702128
 > >
 > > fig, ax = plt.subplots()
 > > plt.imshow(binary_mask, cmap="gray")
-> > plt.show()
 > > ~~~
 > > {: .language-python}
 > >