I’m trying to display images of a dataset on a plot with their predictions. But I have this error: cannot compute Pack as input #1(zero-based) was expected to be a float tensor but is a int32 tensor [Op:Pack] name: packed This is the code in which I plot: I have the error on second line, on the tf.squeeze function. I
Tag: matplotlib
sympy matplolib piecewise TypeError?
matplotlib TypeError? Please tell me the difference. i want to use plt.plot OK Error.why? raise TypeError(“can’t convert expression to float”) TypeError: can’t convert expression to float (ref) Sympy issues with plotting a piecewise function sympy piecewise:How can I plot a piecewise function using matplotlib? (20220315) Answer Matplotlib expects arrays of points rather than symbolic expressions. SymPy’s plot function is designed
Why does pylab always plot to the last created figure?
I tried to create 2 figures at the same time. I thought I could plot into each figure by specifying the desired axis as shown in the code below, but all of the data goes into the last created figure (here, fig2). When I run this nothing plots in the fig1 axes, it all goes into the fig2 axes even
Pyplot: Plot a 3D figure in a 2D frame?
In my current project, I want to plot a 3D shape with pyplot. This is relatively straightforward: The complication comes from the fact that I would like the figure to display in a straight 2D figure similar to this example: That is to say, remove the 3D axes and ticks, the gridlines, and wrap everything in a flat 2D border.
plt.imshow() display the image inside another image
I am new to Python and I apologize if this is very basic. I am doing image processing but when I read a png image using cv2 and then display the image using plt.imshow() it gives me strange images(Image with extra boundries). I did the following. I am attaching the resulting images here. [the original image] [After displaying the image
Scatterplot with plotly vs pyplot / different approach in data table needed?
I’m trying to create a scatterplot in plotly, but have some difficulties. I think I need to rearrange my data table to be able to work with it, but am note sure. This is how my data table looks: table structure The “Average Price” is the “real” data and the prices in the “Predictions” column are what my model predicted.
Add ONLY the total values on top of stacked bars in matplotlib
I am working with the following bar plot: And I would like to add only the total amount of each index on top of the bars, like this: However, when I use the following code, I only get parts of the stacks of each bar. I have tried with different varieties of ax.bar_label(ax.containers[0],fontsize=9) but none displays the total of the
Merge dataframes with mirrored values
I have a dataframe which stores measurement points of an circular area. So each point has a Radius_mm and Angle_deg value. As a visual representation of the data, I would now like to create a section through the surface. I.e. I choose one angle and the corresponding angle that lies at 180° to it, including the center. The x-axis should
In Python, how to overlap histogram graphs about data frame inside one panel?
I have a question about overlapping graphs inside one panel in Python. I generated numbers of two groups It works perfectly. However, if the data is the format of data frame, how can I make the same graph? For example, I simulated that I have two data set for different genotypes, cv1, cv2. In each data, grain weight for 1,000
Why matplotlib slider not working in Colab?
I’ve stuck with an issue that I have a slider but It’s not interactive, I followed by documentation but even ready solution didn’t worked, how to solve that? Not worked in Google Colab and Jupyter Notebook. I have already tried to change matplotlib backend kernel from qt to ktinker but nothing my code : My aim is to get a