Matplotlib Tutorial in Hindi part-13 | plt.imshow & Colorbar | ML Hands-on Python Course #01.03.13

Course name: “Machine Learning – Beginner to Professional Hands-on Python Course in Hindi”

In this python matplotlib tutorial part-13, We explained real-time example,
1. how to read an image from the folder
4. how to show an image using cmap (color map) parameter
6. and more parameters, functions

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Course Playlists-
Python matplotlib Tutorial in Hindi:

Machine Learning Beginner to Professional Hands-on Python Course in Hindi:

Python NumPy Tutorial in Hindi:

Python Pandas Tutorial in Hindi:

Data Cleaning Tutorial:
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#Matplotlibimshow #MatplotlibColorbar
#MatplotlibTutorialInHindi # PythonMatplotlib
#MachineLearningTutorialInHindi #IndianAIProduction

[vilasbhapkar]

thank you bhai .... tu jo topic ko deep mai ja kar simple way mai samjata hai na ..vo merko bahot achha lgta hai...
.
aaur har ek new video ki starting aaur ending mai recent videos aaur topic ki jo revision leta hai na vo bhi gajab hai....
😍😍😍😍

[AnjaliKumari-lkro]

Thank you so much sir.. Bahutt achhe se aapne samjhaya.. Bahut paresan thi es topic ko Lake...aap Data science ke statistiks ke upar bhi video bnaiye na

[codeindustries]

Sir ekdum jeher tutorial, maja aa gaya sir ji😘😘

[bhadreshshingadia]

Just finished matplotlib...it was awesome learning with

[himanshubomble]

Bhai ekdum OP 🔥and explaination level is NEXT LEVEL. Thank you BROTHER

[ramankaplish]

one like is not enough for this awesome posting !!!

[dipu]

PANDAS Done ✔️
NUMPY Done ✔️
matplotlib Done ✔️
SEABORN Done ✔️
Thanks ❤️‍🔥 from Bangladesh

[devansheerupabheda]

Very nice n easy explanation in whole tutorial sir..im very thankful to u sir

[naveenrawat.]

Thanks a lot Sir ji.
For this excellent tutorial. 🙏

[kanha]

This playlists was awesome
And I want to learn Scipy
So sir please make a video on Scipy library

[CognosChronicles]

sir aapki puri playlist dekhne ke baad me job ke liye eligible ho jaunga kya..?

[junaidbadshah]

Sir we are learning libraries but please recommend us which library should learn first then 2nd and so Please sir

[akshayprajapati]

great job sir, plese make one playlist on Tensorflow

[codewithguruji]

Sir I got one a
Error list index out of range and try to solve it this problem but I can't please tell me how to handle it

[anindian]

brother why did u used cmap string in three double quotes?? """ Accent, etc"""? i did not understand why this when u can use single "" time.

[sandeepkumarladi]

Videos are very helpful. I have one doubt. I use . It gives me the vegetation map in the remote sensing image. Can you please tell me how can i get the color labels of different vegetation map. For example say the areas in image appearing in green color contains grass.

[yasharya]

What is the basically practical use of colour bar

[srmking]

for i in range(len(cmap_name_list)):
cmap_name = cmap_name_list[i]
plt.figure(figsize=(16, 9))
plt.axis("off")

print(cmap_name)

plt.imshow(single_channel2_img, cmap=cmap_name)


plt.savefig(save_image_addr_name[i], orientation='portrate', facecolor= "k")
plt.show()

'Accent'

ValueError Traceback (most recent call last)
in <module>
6 print(cmap_name)
7
----> 8 plt.imshow(single_channel2_img, cmap=cmap_name)
9
10

in imshow(X, cmap, norm, aspect, interpolation, alpha, vmin, vmax, origin, extent, filternorm, filterrad, resample, url, data, **kwargs)
2722 filternorm=True, filterrad=4.0, resample=None, url=None,
2723 data=None, **kwargs):
-> 2724 __ret = gca().imshow(
2725 X, cmap=cmap, norm=norm, aspect=aspect,
2726 interpolation=interpolation, alpha=alpha, vmin=vmin,

in inner(ax, data, *args, **kwargs)
1445 def inner(ax, *args, data=None, **kwargs):
1446 if data is None:
-> 1447 return func(ax, *map(sanitize_sequence, args), **kwargs)
1448
1449 bound = new_sig.bind(ax, *args, **kwargs)

in imshow(self, X, cmap, norm, aspect, interpolation, alpha, vmin, vmax, origin, extent, filternorm, filterrad, resample, url, **kwargs)
5517 aspect = rcParams['image.aspect']
5518 self.set_aspect(aspect)
-> 5519 im = mimage.AxesImage(self, cmap, norm, interpolation, origin, extent,
5520 filternorm=filternorm, filterrad=filterrad,
5521 resample=resample, **kwargs)

in __init__(self, ax, cmap, norm, interpolation, origin, extent, filternorm, filterrad, resample, **kwargs)
900 self._extent = extent
901
--> 902 super().__init__(
903 ax,
904 cmap=cmap,

in __init__(self, ax, cmap, norm, interpolation, origin, filternorm, filterrad, resample, **kwargs)
241 ):
242 martist.Artist.__init__(self)
--> 243 cm.ScalarMappable.__init__(self, norm, cmap)
244 if origin is None:
245 origin = mpl.rcParams['image.origin']

in __init__(self, norm, cmap)
234 self.set_norm(norm) # The Normalize instance of this ScalarMappable.
235 self.cmap = None # So that the setter knows we're initializing.
--> 236 self.set_cmap(cmap) # The Colormap instance of this ScalarMappable.
237 #: The last colorbar associated with this ScalarMappable. May be None.
238 self.colorbar = None

in set_cmap(self, cmap)
403 """
404 in_init = self.cmap is None
--> 405 cmap = get_cmap(cmap)
406 self.cmap = cmap
407 if not in_init:

in get_cmap(name, lut)
202 if isinstance(name, colors.Colormap):
203 return name
--> 204 cbook._check_in_list(sorted(_cmap_registry), name=name)
205 if lut is None:
206 return _cmap_registry[name]

in _check_in_list(_values, **kwargs)
2264 for k, v in kwargs.items():
2265 if v not in values:
-> 2266 raise ValueError(
2267 "{!r} is not a valid value for {}; supported values are {}"
2268 .format(v, k, ', '.join(map(repr, values))))

ValueError: "'Accent'" is not a valid value for name; supported values are 'Accent', 'Accent_r', 'Blues', 'Blues_r', 'BrBG', 'BrBG_r', 'BuGn', 'BuGn_r', 'BuPu', 'BuPu_r', 'CMRmap', 'CMRmap_r', 'Dark2', 'Dark2_r', 'GnBu', 'GnBu_r', 'Greens', 'Greens_r', 'Greys', 'Greys_r', 'OrRd', 'OrRd_r', 'Oranges', 'Oranges_r', 'PRGn', 'PRGn_r', 'Paired', 'Paired_r', 'Pastel1', 'Pastel1_r', 'Pastel2', 'Pastel2_r', 'PiYG', 'PiYG_r', 'PuBu', 'PuBuGn', 'PuBuGn_r', 'PuBu_r', 'PuOr', 'PuOr_r', 'PuRd', 'PuRd_r', 'Purples', 'Purples_r', 'RdBu', 'RdBu_r', 'RdGy', 'RdGy_r', 'RdPu', 'RdPu_r', 'RdYlBu', 'RdYlBu_r', 'RdYlGn', 'RdYlGn_r', 'Reds', 'Reds_r', 'Set1', 'Set1_r', 'Set2', 'Set2_r', 'Set3', 'Set3_r', 'Spectral', 'Spectral_r', 'Wistia', 'Wistia_r', 'YlGn', 'YlGnBu', 'YlGnBu_r', 'YlGn_r', 'YlOrBr', 'YlOrBr_r', 'YlOrRd', 'YlOrRd_r', 'afmhot', 'afmhot_r', 'autumn', 'autumn_r', 'binary', 'binary_r', 'bone', 'bone_r', 'brg', 'brg_r', 'bwr', 'bwr_r', 'cividis', 'cividis_r', 'cool', 'cool_r', 'coolwarm', 'coolwarm_r', 'copper', 'copper_r', 'cubehelix', 'cubehelix_r', 'flag', 'flag_r', 'gist_earth', 'gist_earth_r', 'gist_gray', 'gist_gray_r', 'gist_heat', 'gist_heat_r', 'gist_ncar', 'gist_ncar_r', 'gist_rainbow', 'gist_rainbow_r', 'gist_stern', 'gist_stern_r', 'gist_yarg', 'gist_yarg_r', 'gnuplot', 'gnuplot2', 'gnuplot2_r', 'gnuplot_r', 'gray', 'gray_r', 'hot', 'hot_r', 'hsv', 'hsv_r', 'inferno', 'inferno_r', 'jet', 'jet_r', 'magma', 'magma_r', 'nipy_spectral', 'nipy_spectral_r', 'ocean', 'ocean_r', 'pink', 'pink_r', 'plasma', 'plasma_r', 'prism', 'prism_r', 'rainbow', 'rainbow_r', 'seismic', 'seismic_r', 'spring', 'spring_r', 'summer', 'summer_r', 'tab10', 'tab10_r', 'tab20', 'tab20_r', 'tab20b', 'tab20b_r', 'tab20c', 'tab20c_r', 'terrain', 'terrain_r', 'turbo', 'turbo_r', 'twilight', 'twilight_r', 'twilight_shifted', 'twilight_shifted_r', 'viridis', 'viridis_r', 'winter', 'winter_r'

[piyushaneja]

Image. Shape = (288, 432, 4) what does 4 denote? In grayscale it is 1 nd in Color rgb it is 3 i guess.