Given a dummy heightmap (or digital elevation model) stored as a Numpy array like this: I can calculate its slope and aspect like this: And visualise it: But how would I go the other way? I’d like to generate a blank 2D Numpy array of a fixed size, then fill it with values that follow a known slope and aspect
Tag: matplotlib
Pyplot imshow incorrectly output black to white
I want to plot some letters and separate them by 4 equal zones according to the letter’s width and height. It just so happens that everything looks good until a zone has blank pixels, such as zone_0.jpg, zone_7 and zone_12 as seen in the images below. How can I make it so that the image box that have 255 for
Seaborn, how sum time in barplot?
pandas output: and on python: i am trying do barplot in seaborn, but i get error numeric. How use sum time value in barplot seaborn? Answer You need to convert value series to a numeric data type to plot it. For example, assuming that value has a timedelta dtype. You can create another column in your dataframe.
Move ticks and labels to the top of a pyplot figure
As per this question, moving the xticks and labels of an AxesSubplot object can be done with ax.xaxis.tick_top(). However, I cannot get this to work with multiple axes inside a figure. Essentially, I want to move the xticks to the very top of the figure (only displayed at the top for the subplots in the first row). Here’s a silly
How do I check the existing file with same name in the directory and use python to rename new files to save?
I am using plt.savefig to save a plot generated by matplotlib.pyplot, and I want to save my figure with different names each time I run the code. How can I do that? Answer The easiest would probably be to use the current time, if you don’t save multiple files per second.
Pandas: Plotting / annotating from DataFrame
There is this boring dataframe with stock data I have: Then I am plotting the prices So far so good… Then I’d like to show a marker on the chart if there was buy (green) or sell (red) on that day. It’s just to highlight if there was a transaction on that day. The exact intraday price at which the
Second y-axis not showing when using matplotlib
I am trying to plot data_1 and data_2 against data (data supplied in example) using 2 y-axis on different scales. When I run my code it seems only data_2 gets plotted. I am limited to only use the matplotlib library for this. Am I missing something here? Answer They are plotted over each other. Change the linestyle or axis limits
How do I animate this graph to just display the next row
enter image description here So I tried this, I’m working in a jupyter notebook and am wondering how to animate the next row of data. Answer For what I can see in the documentation you have to set the plot data inside the animate function. You must also have an instance to your plot and use that same instance inside
What is the difference between (matplotlib) and (SymPy Plotting Module)?
https://scicomp.stackexchange.com/questions/1144/how-can-i-plot-piece-wise-defined-function-in-some-easily-accessed-open-source-t ①Why is it that the above source code can be used to create a plot, but the following source code cannot? ②Can you point me to a web site that has a table comparing (matplotlib) and (SymPy Plotting Module)? ③(matplotlib) to (SymPy Plotting Module) converter and a (SymPy Plotting Module) to (matplotlib) converter would be helpful. Answer ①Why is it
How to have automatic (or manual) scaling of xticks and yticks with pyplot?
Basically, I want my curve to be properly fitted onto the graph, as it obviously isn’t the case currently. My xtick intervals are equal according to pyplot, but they clearly have values that do not match that. I want pyplot to understand that, and I’m not sure why it’s forcing the curve to be ‘boxed’ in a square graph when