CODEWITHSUNDEEP
pythonmatplotlibdata-structuresargumentscolormap
Kolibril
Kolibril

Reputation: 1443

matplotlib : What are possible arguments for imshow?

I am curious about changing the colormap and the interpolation method for plotting a matrix

import matplotlib.pyplot as plt
matrix= [[1,2,3],
         [4,5,6],
         [7,8,9]]
plt.imshow(matrix,cmap="gray")
plt.show()

In the definition of plt.imshow (in the file pyplot.py) if found this code:

def imshow(
        X, cmap=None, norm=None, aspect=None, interpolation=None,
        alpha=None, vmin=None, vmax=None, origin=None, extent=None,
        shape=None, filternorm=1, filterrad=4.0, imlim=None,
        resample=None, url=None, *, data=None, **kwargs):
    __ret = gca().imshow(
        X, cmap=cmap, norm=norm, aspect=aspect,
        interpolation=interpolation, alpha=alpha, vmin=vmin,
        vmax=vmax, origin=origin, extent=extent, shape=shape,
        filternorm=filternorm, filterrad=filterrad, imlim=imlim,
        resample=resample, url=url, **({"data": data} if data is not
        None else {}), **kwargs)
    sci(__ret)
    return __ret

However it only says cmap=None and interpolation=None.

I know that I can look up the options for these arguments in the internet ( e.g. https://matplotlib.org/gallery/images_contours_and_fields/interpolation_methods.html), but I would like to find the option possibilities of cmap and interpolation in the python code of matplotib itself, also to get more familiar with the data structure in python.

How can I "unearth" the options for these parameters in my code?

As an IDE I am using pycharm.

Upvotes: 0

Views: 2577

Answers (2)

ImportanceOfBeingErnest
ImportanceOfBeingErnest

Reputation: 339660

I would recommend to use the online documentation of matplotlib, available at matplotlib.org.

On the homepage you may navigate to API

enter image description here

Then either look at the matplotlib.pyplot function reference or the list of matplotlib modules.

You would then arrive at the documentation page you're intested in, either

From there you obtain a complete overview over possible arguments and accepted values. You can directly check the source code

enter image description here

and often find examples of the usage linked.

Upvotes: 0

Aiden Zhao
Aiden Zhao

Reputation: 653

in your python session

help(plt.imshow)

in jupyter notebook

?plt.imshow

dont know about pycharm

Upvotes: 1

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