For some set of data, here is my code which generates a bar graph like this: The values on the x-axis ranges from 1975 to 2017. And the values on the y-axis are some decimal values. In the x-axis of the plot, the values are overlapping. I want to change the scale as 1975, 1980, 1985 so on to keep
Tag: matplotlib
Matplotlib change Figure size
Good morning everyone, I’ve been playing around with matplotlib recently and I drafted some Charts. Unfortunately, I’m currently stuck, as I cannot resize the chart (Code and Screenshots below, sorry for the chaos with the dates). I tried using figsize but it just doesn’t change the output image. Do you guys have an idea, where I’m wrong? Cheers and have
Plotting subgraphs identified by connected components
I have detected connected components in my graph. Now I would need to plot them in separate charts for analyzing them individually.As example I am using karate club network, but my network has actually 5 connected components. I used nx.draw but nothing has been displayed: Answer S is not a subgraph but a list of subgraphs so you have to
Plot a triangle contour/surface matplotlib python: tricontourf/meshgrid
Given the following image, where plt.Polygon was used to create the triangle and plt.contourf the contour, i would like to ‘cut’ off the regions marked in X so that i only get the contour inside the triangle. How would i do this? I’ve tried placing NaN values in the mentioned regions but the edges are square and therefore requires a
Finding areas of non-overlapping edges of two distributions
I am trying to find a way to calculate the overlapping (intersection) and non-overlapping areas of two distributions. Based on some posts (like this: FINDING AREA) I could figure out how to calculate the intersection of the two plots. But I had no luck finding the non-overlapping part. Given this example distributions: I wonder how I can calculate the areas
How to plot a Rainfall & Waterflow chart in Python?
I’m trying to plot a rainfall & water flow chart as below: Generate Sample Data Plotting I’m able to plot the top part, not sure how to invert or mirror the line chart. How to plot a Rainfall & Waterflow chart as above? Answer In order to create the second plot you have to use a subplot: For the second
How to call multiple column of DataFrame on both axis for plot
My dataFrame has the following column, which shows pressure and corresponding volume measured for different samples, e.g. s_1p: pressure for sample-1 & s1_nv: corresponding volume for the same sample. I want to show all volume columns on the x-axis and pressure on the y-axis of the same plot (not sub-plot) and legend labelled as the sample number. When I used
Adding line markers in colorbar to highlight specific values in maps when having several subplots in matplotlib
I would like to add line markers with a special color at a value of 99.99 in my color bar. The range in my color bar is from 90 to 99.99, so I want to mark this value in order to see the maximum on my maps (I have several subplots in the figure with maps). I tried the next
Having problems labelling axes in a barplot animation shown on a FigureCanvas
I’ve been using the animation method outlined at Managing dynamic plotting in matplotlib Animation module to create animations and place them on a tkinter FigureCanvas. I’m having difficulties animating a sequence of barplots in such a way that the y-axis tickmark labels appear as I want them to. My animation will have 100 frames, each consisting of a barplot using
Python Seaborn dynamic update of heatmap data
I would like to update dynamically a heatmap made with Seaborn, adding data line one by one. The sample code below get the basics work done, but instead of updating the heatmap it seems to nest a new one in the previous one. Thank you in advance for any help/solution you may provide. Answer I re-structured your code in order