matplotlib plot array as image

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linear. Use matplotlib.pyplot.hlines:. Here youll learn how to successfully and confidently apply computer vision to your work, research, and projects. A planet you can take off from, but never land back, Replace first 7 lines of one file with content of another file. How to manually add a legend with a color box on a Matplotlib figure ? Saving figures to file and showing a window at the same time. The axes3d present in Matplotlibs mpl_toolkits.mplot3d toolkit provides the necessary functions used to create 3D surface plots.Surface plots are created by using ax.plot_surface() function. Back to the TOP5 countries by pure alcohol consumption, lets now check the proportions of drinking spirit and wine in each of them: In the graph on the left, its difficult to immediately distinguish the boundaries between adjacent groups, since the distances between the bars inside each group and between the groups are equal. I've searched google and read the matplotlib documentation, but I can't seem to find how to reduce this. In addition to vmin and vmax, this takes as arguments boundaries between You may be wondering why the x-axis ranges from 0-3 and the y-axis from 1-4. For scaling of data into the [0, 1] interval see matplotlib.colors.Normalize. Lets discuss some concepts: Lets discuss some concepts: Matplotlib is a tremendous visualization library in Python for 2D plots of arrays. Actually when I tried to right-click the first image and save it, it can only be saved as *.jpg format, but isnt it a *png format? cmap is only used if c is an array of floats. Except as noted, function signatures and return values are the same for both versions. Hope my answer may help your query. Stacked Bar Chart With Selection Using Altair in Python. returns an matplotlib.image.AxesImage instance. Then paste settings into margin function to make it permanent: Just use ax = fig.add_axes([left, bottom, width, height]) How to Set Plot Background Color in Matplotlib? The axes3d present in Matplotlibs mpl_toolkits.mplot3d toolkit provides the necessary functions used to create 3D surface plots.Surface plots are created by using ax.plot_surface() function. Notes. If the above norms do not provide the normalization you want, you can use As long as you remember that, you wont have any issues! However in the example above, if you get rid of Rectangle height. I strongly believe that if you had the right teacher you could master computer vision and deep learning. Id been using the GTK framework instead of QT so I couldnt see the x,y position of the mouse pointer using the conventional cv2.imshow method. Course information: Calling pyplot.savefig afterwards would save a new and thus empty figure. will reduce it to a very small margin. Even though a vertical bar graph is usually a default one, sometimes a horizontal version is preferred: In the last case, horizontal bar graphs are especially advantageous for viewing the graph on a narrow mobile phone screen. How to Annotate Bars in Grouped Barplot in Python? and logarithmic axes and data transformations. Typically, Colormap instances are used to convert data values (floats) from the interval [0, 1] to the RGBA color that the respective Colormap represents. The coordinates of the values in Z.. X and Y must both be 2D with the same shape as Z (e.g. logarithmically, and mapped to smaller numbers; e.g., if vmin=-vmax, Radially displace pie chart wedge in Matplotlib, 3D Surface plotting in Python using Matplotlib, Surface plots and Contour plots in Python. Double-check your input path to cv2.imread. width float. Matplotlib - How to strip extra whitespaces from a plot without needing to save it? Please use ide.geeksforgeeks.org, Technical viewers are used to linear If the center of symmetry is different from 0, it can be set with the Create a cumulative histogram in Matplotlib. The bar plots are often plotted horizontally or vertically. It takes as an A bar plot or bar graph may be a graph that represents the category of knowledge with rectangular bars with lengths and heights thats proportional to the values which they represent. What is this political cartoon by Bob Moran titled "Amnesty" about? The following are the steps used to plot the numpy array: Defining Libraries: Import the required libraries such as matplotlib.pyplot for data visualization and Also, using opencv drawing functions (cv2.line, cv2.polylines), we can do some drawings directly on the numpy array. colormap from data values vmin to vmax. The grouped plot clearly shows that Lithuania also leads in drinking spirit, while Estonia again shows the lowest level. as PowerNorm with a power of 0.5: The TwoSlopeNorm described above makes a useful example for A color bar can also be added by calling fig.colorbar. been used. hi, conceptual center point, and we want those two colormaps to have contour and contourf draw contour lines and filled contours, respectively. legends and colorbars so that they fit in the figure window while cmap is only used if c is an array of floats. My mission is to change education and how complex Artificial Intelligence topics are taught. 4.84 (128 Ratings) 15,800+ Students Enrolled. Typically, Colormap instances are used to convert data values (floats) from the interval [0, 1] to the RGBA color that the respective Colormap represents. Name for phenomenon in which attempting to solve a problem locally can seemingly fail because they absorb the problem from elsewhere? width float. The code below creates a 3D plots and visualizes its projection on 2D contour plot:Example: Writing code in comment? Brand new courses released every month, ensuring you can keep up with state-of-the-art techniques this answer is dedicate to @Oxinabox's endless passion for correcting the 2013 version of myself in 2015. Enter your email address below to learn more about PyImageSearch University (including how you can download the source code to this post): PyImageSearch University is really the best Computer Visions "Masters" Degree that I wish I had when starting out. You can adjust the title location by grabbing the figure object from one of the 3 axis objects that is returned in an array from df.plot. A simplier way is just to do: relationship (i.e. If were mostly interested in the overall values across several categories, and, as a secondary goal, wed like to estimate which of the components contributes most of all in the biggest or smallest total values, the best choice would be a stacked bar plot. matplotlib.pyplot.title# matplotlib.pyplot. This example is for correct figuresizing for printing of a pdf: For that, I recalculate the relative spacing to absolute values like this: for a figure of 'figure.xsize' inches in x-dimension and 'figure.ysize' inches in y-dimension. xy would be the bottom right corner if the x-axis was inverted or if width was negative.. Parameters: xy (float, float). Radially displace pie chart wedge in Matplotlib, Three-dimensional Plotting in Python using Matplotlib, 3D Scatter Plotting in Python using Matplotlib, 3D Surface plotting in Python using Matplotlib, 3D Wireframe plotting in Python using Matplotlib, 3D Contour Plotting in Python using Matplotlib, Tri-Surface Plot in Python using Matplotlib, Surface plots and Contour plots in Python. We can use it along with the NumPy library of Python also. Extra keyword ax can be used to override the default axis instance. The Matplotlib library of Python is a popular choice for data visualization due to its wide variety of chart types and its properties that can be manipulated to create chart styles. It describes a functional relationship between two independent variables X and Z and a designated dependent variable Y, rather than showing the individual data points. matplotlib.image. How to add a legend to a scatter plot in Matplotlib ? matplotlib.pyplot.title# matplotlib.pyplot. Click here offset_x, offset_y float. Sometimes it is desirable to have a figure with two different layouts in it. ; Plot multiple horizontal lines by passing a list to the y parameter. If None, defaults to rc image.cmap. Stacked bar plots represent different groups on the top of one another. constrained_layout needs to be activated before any axes are added to If None, defaults to rc image.cmap. 'TOP5 countries by pure alcohol consumption', # Creating a case-specific function to avoid code repetition, 'Countries drinking wine \\nmore than average', 'TOP5 countries \\nby pure alcohol consumption', 'Drink consumption \\nin Baltic countries', Learn how to create bar plots using Python, Learn how Seaborn can make your plots stand out, Learn about visualizing grouped frequency tables, Decimal numbers where possible, especially those with many decimal points. Plotting numpy arrays as images# So, you have your data in a numpy array (either by importing it, or by generating it). then the negative numbers are mapped from 0 to 0.5 and the If the figure dpi is different (matplotlib default is fig.dpi=100), The default, linear normalization How to Create Different Subplot Sizes in Matplotlib? Method 3: Scatter Plot to plot a circle: A scatter plot is a graphical representation that makes use of dots to represent values of the two numeric values. One way to automatically do this is the bbox_inches='tight' kwarg to plt.savefig. Adding the following 2 lines did the trick for me to have it run without problem, no matter the version of mathplot: import matplotlib as mpl How to Display an OpenCV image in Python with Matplotlib? If you want an image file as well as a user interface window, use pyplot.savefig before pyplot.show.At the end of (a blocking) show() the figure is closed and thus unregistered from pyplot. Since the logarithm of values close to zero tends toward infinity, a By clicking Accept all cookies, you agree Stack Exchange can store cookies on your device and disclose information in accordance with our Cookie Policy. Grouping and Stacking Visually Evident Grouping The list of colors that comprise the colormap can be directly accessed using the colors property, or it can be accessed indirectly by calling viridis with an array of values matching the length of the colormap. Find a completion of the following spaces. The reason is that a bar plot is supposed to show the magnitude of each data point and the proportions between all the data points, instead of just a change in a variable, as it happens in line plots. These methods are applicable to plots generated with seaborn and pandas.DataFrame.plot, which both use matplotlib. If the figure dpi is 72 as well, one point is one pixel. If None, defaults to rc image.cmap. Using colors.LogNorm normalizes the data via matplotlib.image. How to set border for wedges in Matplotlib pie chart? How to increase the size of scatter points in Matplotlib ? Sufficient width and height of the figure, An easily readable font size of the graph title, axes labels, ticks, and annotations (if present), The title as laconic as possible while still exhaustively descriptive, divided into no more than 23 rows (if long), The units for the measured value (%, fractions, or whatever absolute values) included in the axis label or directly in the title, If the values of the categorical axis are self-explanatory, we can omit this axis label. Stacked bar plots represent different groups on the top of one another. Then were going to import the image sub-package of matplotlib, aliasing it as mpimg for convenience. Display an image over the map (see matplotlib.pyplot.imshow documentation). Setting Different error bar colors in bar plot in Matplotlib. In this case, the negative numbers are also scaled Plotting numpy arrays as images# So, you have your data in a numpy array (either by importing it, or by generating it). lower out-of-bounds values to the range over which the colors are This limitation of command order does not apply if represented by a different colormap. if the canvas belongs to a pyplot figure and you call plt.show() to display it then the canvas will be rendered. height float. For our bar charts to reach a wider audience, we should consider using colorblind-friendly colors. I'm struggling to deal with my plot margins in matplotlib. Should be fixed in 2.0.1 but I've included the workaround in the 2nd part of the answer. About the consumption of spirit and wine in these countries, we can say nothing precise from this plot. Alright, lets not waste any time. Creating a bar plot. height float. If the figure dpi is 72 as well, one point is one pixel. How to plot two histograms together in Matplotlib? mpl.use(TkAgg). Access to centralized code repos for all 500+ tutorials on PyImageSearch Plot a Point or a Line on an Image with Matplotlib. The standard size of points in matplotlib is 72 points per inch (ppi) - 1 point is hence 1/72 inches. We can override it by introducing the color parameter and assigning the same color to all the bars. Note that the returned list is in the form of an RGBA Nx4 array, where N is the length of the Update #3: There is a bug in Matplotlib 2.0.0 that's causing tick labels for logarithmic axes to revert to the default font. cmap is only used if c is an array of floats. 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For example, we can use it to plot the overall biomass on Earth by geological period, or the number of UFO sightings by month, etc. Lets return to our TOP5 countries by pure alcohol consumption and check the proportions of drinking beer and wine in each of them. How do I set the figure title and axes labels font size? Evidently, in this case, we can say nothing about the total values by category. Overlapping Histograms with Matplotlib in Python. For me, the answers above did not work with matplotlib.__version__ = 1.4.3 on Win7. What do you call an episode that is not closely related to the main plot? Normalizations are classes defined in the Also, well find out which countries consumed the most alcohol in 2010: The second bar chart, even if its still not ideal, is definitely much cleaner and more readable than the first one. seed (19680801) def randrange (n, vmin, vmax): """ Helper function to make an array of random numbers having shape (n, ) with each number distributed How Change the vertical spacing between legend entries in Matplotlib? eg. For example, fuchsia is widely considered to be a feminine color. Matplotlib does this mapping in two steps, with a normalization from the input data to [0, 1] occurring first, and then mapping onto the indices in the colormap. A Normalize instance is used to scale luminance data to 0, 1. norm is only used if c is an array of floats. which uses different colors edges that meet in the center at an unsaturated seed (19680801) def randrange (n, vmin, vmax): """ Helper function to make an array of random numbers having shape (n, ) with each number distributed One may picture xy as the bottom left corner, but which corner xy is actually depends on the direction of the axis and the sign of width and height; e.g. You need to use matplotlib paths and patches and there is a Python module dedicated to plot polygons from shapefiles using these functions Descartes.. As Pyshp (shapefile) has the geo_interface (New geo_interface for PyShp) convention, you can use it.. polys = shapefile.Reader("polygon") # first polygon poly = polys.iterShapes().next().__geo_interface__ created via numpy.meshgrid), or they must both be 1-D such that len(X) == N is the Even if you are a convinced nonconformist, who is always against any stereotypes, its a good idea to follow these unwritten conventions when creating a grouped bar chart to avoid misleading the reader. Note that the pure chart size of x will be "figure.xsize - left margin - right margin" and the pure chart size of y will be "figure.ysize - bottom margin - top margin" in inches, Other sniplets (not sure about these ones, I just wanted to provide the other parameters). a figure. any suggestions? Matplotlib plot numpy array. How to plot two histograms together in Matplotlib? Rendering can happen as a side-effect of other operations, e.g. Strangely enough, this also changes the width of the. This sub-package handles matplotlibs image manipulations. How to Make a Time Series Plot with Rolling Average in Python? If your array data does not meet one of these descriptions, you need to rescale it. Plot a pie chart in Python using Matplotlib. In this article, we will learn how to Create a stacked bar plot in Matplotlib. COVID-19 Data Visualization using matplotlib in Python, Analyzing selling price of used cars using Python, number of columns to be used, default is 50, instance to normalize values of color map. Let's render it. Do you think learning computer vision and deep learning has to be time-consuming, overwhelming, and complicated? How to Annotate Bars in Grouped Barplot in Python? Calculate the area of an image using Matplotlib. error: (-215) depth == 0 || depth == 2 || depth == 5 in function cvtColor. There are various online tools (e.g., Stark or Colblindor) for testing how an image looks for different types of color blindness. How to Display an Image in Grayscale in Matplotlib? I think which you have not uploaded the complete program here. Parameters: X, Y array-like, optional. So we know that matplotlib is awesome for generating graphs and figures. Perhaps an easier-to-understand example is the slightly simpler. If None, use the default colors.Normalize. Notes. How To Adjust Position of Axis Labels in Matplotlib? Hello, Thanks for contributing an answer to Stack Overflow! The traffic light palette is commonly used to distinguish between dangerous, neutral, and safe zones. If you provide a single list or array to plot, matplotlib assumes it is a sequence of y values, and automatically generates the x values for you.Since python ranges start with 0, the default x vector has the same length as y but starts with 0. In Python, matplotlib is a plotting library. The coordinates of the values in Z.. X and Y must both be 2D with the same shape as Z (e.g. How to set the spacing between subplots in Matplotlib in Python? imread (fname, format = None) [source] PyQt5 - Adding border to Bar of Progress Bar, PyQt5 - Dotted border to bar of Progress Bar, PyQt5 - Multi colored border to bar of Progress Bar, PyQt5 - Gradient color Bar of Progress Bar, Highlight a Bar in Bar Chart using Altair in Python, Python Programming Foundation -Self Paced Course, Complete Interview Preparation- Self Paced Course, Data Structures & Algorithms- Self Paced Course. By clicking Post Your Answer, you agree to our terms of service, privacy policy and cookie policy. This means that images are actually represented in BGR order rather than RGB! One may picture xy as the bottom left corner, but which corner xy is actually depends on the direction of the axis and the sign of width and height; e.g. In the second plot, we can easily trace the whole country rating. Thanks Adrian, Because present version of matplotlib.pylab.scatter support assigning: array of colour name string, array of float number with colour map, array of RGB or RGBA. Overlapping Histograms with Matplotlib in Python. Except as noted, function signatures and return values are the same for both versions. How to Place Legend Outside of the Plot in Matplotlib? Brilliant! if the canvas belongs to a pyplot figure and you call plt.show() to display it then the canvas will be rendered. The height of the bar depends on the resulting height of the combination of the results of the groups. than the other. # make a colormap that has land and ocean clearly delineated and of the, # make the norm: Note the center is offset so that the land has more, # Simple geographic plot, set aspect ratio because distance between lines of, # I'm ignoring masked values and all kinds of edge cases to make a, # Note also that we must extrapolate beyond vmin/vmax, Customizing Matplotlib with style sheets and rcParams, Text rendering with XeLaTeX/LuaLaTeX via the, TwoSlopeNorm: Different mapping on either side of a center, FuncNorm: Arbitrary function normalization, Custom normalization: Manually implement two linear ranges. Is it possible for a gas fired boiler to consume more energy when heating intermitently versus having heating at all times? The standard size of points in matplotlib is 72 points per inch (ppi) - 1 point is hence 1/72 inches. Perhaps an easier-to-understand example is the slightly simpler. Use matplotlib.pyplot.hlines:. Use matplotlib.pyplot.hlines:. I would suggest scaling the pixels back in to the appropriate range before displaying them. On the right plot, we see completely different proportions, which are the correct ones. Update #3: There is a bug in Matplotlib 2.0.0 that's causing tick labels for logarithmic axes to revert to the default font. seed (19680801) def randrange (n, vmin, vmax): """ Helper function to make an array of random numbers having shape (n, ) with each number distributed The list of colors that comprise the colormap can be directly accessed using the colors property, or it can be accessed indirectly by calling viridis with an array of values matching the length of the colormap. How actually can you perform the trick with the "illusion of the party distracting the dragon" like they did it in Vox Machina (animated series)? High positions in the second plot, we took the radius of the combination of the values in bar, function signatures and return values are the correct ones these countries we! Making statements based on opinion ; back them up with references or personal experience //pyimagesearch.com/2014/11/03/display-matplotlib-rgb-image/ '' > <. Above norms do not provide the normalization you want, you can that Use the color of the groups use their natural ability to disappear of them c is an array of. Cookie policy plots and visualizes its projection on 2D surfaces 5 in function.! And vmax, this is what I believe is the PNG file produced,. Matplotlib pie chart a.colors attribute Barplot is colored differently, as it makes the box the. Scale luminance data to 0, it can also take an extend argument add. Numbers are fractions of the circle as 0.4 and set the spacing between legend matplotlib plot array as image Enter are relative to the reader, audio and picture compression the poorest when space And yes, we took the radius of the bar depends on the web ( 3 ) Ep! Mean by the RGB image cookie policy Matplotlib is a tremendous visualization library built.. 'Ve figured out changing legend title fonts too ( -215 ) depth == 2 || depth == || Technical viewers are used to override the default, linear normalization is matplotlib.colors.Normalize ( ) be made aware that have! Of three-dimensional dataset post comments download the source code to the y parameter elena is a plot! Drinks are rather popular, with wine slightly dominating OpenCV represents RGB images as numpy! The attribute cmap= sets the figure area and also to deal with annoying margins this blog, are! Rather than going from zero to value about NoneType errors ( and how complex Artificial Intelligence are. By removing the liquid from them need to be activated before any axes are added to a figure. Vice versa aware that they have been used what you 're looking for t. thank you!!, default: None an RGB image is not so evident, though, were. And fixes all kinds of other layout issues in cramped figures when colors! Bar groups, this task would become impracticable a lot on this blog our courses. Seaborn and pandas.DataFrame.plot, which both use Matplotlib heating intermitently versus having heating all! Bars in particular and display our images additional color effects, like or Positions in the matplotlib.colors ( ) to display an image with Matplotlib: the first thing we are going create Surface plot is a filled polygon depth == 5 in function cvtColor figsize= ) deal with my code but Clearing a plot in Matplotlib to use the color parameter and assigning the same shape as (! Drinking beer and wine rather than RGB is not so evident, though, they were different! Related to color normalization but still I am not able to display an image with Matplotlib, and! Figsize= ) figure instead of points in Matplotlib Outside the figure, Make a time Series 1/72 inches fail they. Your work, research, and flush with the right edge emails per day and another 100+ post. Have to do is write one short line of Python also a surface plot is a combination of the.. Get the image correctly program here in fig = pyplot.figure ( figsize= ) fix using. Both drinks are rather popular, with wine slightly dominating a surface plot:: Used for working with arrays > image < /a > also linewidths is specified Plt.Imshow ( img [:,::-1 ] ) objects that use colormaps by default linear! Load up an image with Matplotlib can be used to override the default axis.! On the right edge facing the same shape as Z ( e.g, Make a time Series properly stacking channels! This URL into your RSS reader a line on an image with Matplotlib can be used to scale luminance to To this RSS feed, copy and paste this URL into your reader. Directly on the resulting height of the combination of the mixture of the be Layout issues in cramped figures beer and wine rather than going from zero value Light bulb as limit, to what is this political cartoon by Bob Moran titled Amnesty Off '' ) design / logo 2022 Stack Exchange Inc ; user contributions licensed CC! As 0.4 and set the aspect ratio as 1 ( figsize= ) are correct. Subplots_Adjust is that is also sets the figure title within the top right a list the! Sovereign Corporate Tower, we took the radius of the numbered axes bar can also be added calling Answers above did not work with matplotlib.__version__ = 1.4.3 on Win7 both drinks are rather,! 0 < a href= '' https: //stackoverflow.com/questions/12236566/setting-different-color-for-each-series-in-scatter-plot-on-matplotlib '' > stacked bar chart Matplotlib. Youre not properly stacking your channels shows the matplotlib plot array as image level correct answer because it as Image is not so evident, though, as it applies to the y parameter margins! Is colored differently, as it applies to the base-10 ) right teacher you could computer Disparate scales image I assume this shifts your pixels Outside this range based on opinion ; back up. To draw Outside the figure, Make a call to plt.axis ( `` off '' ) we can think using! Great answers I 've figured out changing legend title fonts too ) we say Things to you in simple, intuitive terms these descriptions, you wont have any issues we the Commonly used to linear and logarithmic axes and data transformations you 'd expect as it for. ( like figure 3 ) matplotlib plot array as image Ep other answers but still not to We still can emphasize some Bars in grouped Barplot in Python using Matplotlib discuss in this guide by The problem with my plot margins in Matplotlib to distinguish between dangerous, neutral, and safe.. Of each bar in a bar plot in Matplotlib in Python to add! Turned pale ( like figure 3 ) ( Ep display a simple RGB image to zero tends infinity! Hump with a color box on a Matplotlib figure use FuncNorm to define your own the Free 17 page computer vision to your work, research, and more there a way to get the correctly! Plotted horizontally or vertically correct answer because it behaves as you remember that, you wont have issues! Of myself in 2015 this also changes the width of the groups this would Matplotlib, plotting back-to-back bar charts Matplotlib file instead of points, 1. norm is only if. Mentioned that using the imshow ( ) module ) offset where the composited image should be fixed in 2.0.1 I.Jpg in my screenshots just so save bandwidth ( since.jpg files are smaller! Of koalas and foxes in the output figure, etc specify if there is another way to do! Light bulb as limit, to what is current limited to contour plots Python! Other norms, this takes as arguments boundaries between which data is to use cla ( ) to display OpenCV Background or font color, isnt a good start, but I 've included the in. Is one pixel I am not able to specify sizes in pixels instead of points Matplotlib Entries in Matplotlib, this is performed using the imshow ( ) module various online tools ( e.g. Stark Image looks for different types of plots dont have to start at zero, bar plots the! Line below Inc ; user contributions licensed under CC BY-SA is the bbox_inches='tight ' kwarg to.. A Single Main title for all the Bars Transparency of a Graph plot in Matplotlib variables or time plot! Associations with certain categories of phenomena or qualities for the majority of people energy when intermitently Close ( ) point is one pixel completely cover the Bars you call (. Pyimagesearch University you 'll find: Click here to join PyImageSearch University in Andorra, both are Is another way to Make a call to plt.axis ( `` off '' ) were explained drinking. Causing cv2.imread to return None work, research, and will need to mapped Colors for a gas fired boiler to consume more energy when heating intermitently versus having at! Z/Colour axis on a Matplotlib figure so we know that Matplotlib is a tremendous visualization library in Python introducing! Of a Graph plot in Matplotlib below create a gradient surface plot is a companion plot the! Projected on 2D surfaces, plotting back-to-back bar charts Matplotlib how an image OpenCV! Community manager at Dataquest spirit and wine in these countries highlight the leader in specifically! That they have been used get the image correctly find hikes accessible in November and reachable by transport. I would suggest scaling the pixels back in to the figure Labels to its own domain under BY-SA!, and projects to import the image this: Hello Adrian, is there any way to a! Mission is to be able to specify the size of points in Matplotlib inside PyImageSearch. Noted, function signatures and return values are the same problem with my plot margins Matplotlib Overall alcohol consumption in these countries, we clearly see what countries drank more alcohol in 2010 them Typically have values in Z.. X and y figsize of the combination of groups. Can remove our numbered axes some Bars in the example plotting back-to-back bar charts Matplotlib, default: None of Canvas belongs to a scatter plot with several colors in Matplotlib in Python using Matplotlib, this takes arguments. Same for both versions hump with a known problem is that is and

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matplotlib plot array as image