My PyCharm’s scientific plotting mode doesn’t work on localhost (not remote). It reports: My matplotlib with the show plots in tool window in Tools -> Python Scientific unchecked (plot in original window instead of in SciView) worked normally. Changing a few options such as debugging server’s port and python’s interpreter (anaconda3 (Python 3.7) and pure version of Python 3.8.3) does
Tag: matplotlib
Plotting different shape 2D arrays in matplotlib
I couldn’t find any answer to this specific case. Say I want to create a scatter plot from the following data: Where all the values of y[0] are the correseponding values of X[0] (86) and so on. I know I can just use numpy repeat function but I thought maybe there’s any other more feasilbe option? I’ve tried to reshape
How to specify the color for a partial histogram patch
I would like to produce the following graph Note that one bar is partially blue and partially teal. This is what I’m trying to reproduce Rectangle(xy=(0.876747, 0), width=0.408487, height=0.206371, angle=0) is the Rectangle that needs to be partially colored. Rectangle(xy=(1.28523, 0), width=0.408487, height=0.150066, angle=0) is the patch immediately after, which is colored Teal Plot generated by my code Note the
Convert x-axis from days to month in matplotlib
i have x-axis which is in terms of days (366 days Feb was taken as 29 days) but instead I want to convert it in terms of months (Jan – Dec). What should i do… Answer I think the quickest change might be to just set new ticks and tick labels at the starts of months; I found the conversion
Multiple (matplotlib) plots generated in loop not visibly updating
So I’m trying to generate two separate figures in a loop, such that on each iteration the plots are refreshed with the most recent output of a function: However what’s happening is that only figB is visibly updated, while figA is not. Once the loop completes, then both plots display the final output. Why are both figures not visibly updating
the graphs of the two projectiles does not work properly when complementary angles(eg 30 and 60) are passes to xy_plot1 and xyplot2 function
Answer Be careful! Your theta argument for the xyplot() function is in degrees, but inside your function, the math.sin() function takes the argument for the angle in units of radians. The easiest fix is to provide your theta argument in units of radians instead of degrees. You also don’t need both functions if they do the exact same thing, as
Issue with plotting normal distribution curve with available set of values
I’m trying to plot a normal distribution curve for a set of values. Unfortunately, the below code (taken from this post) doesn’t seem to be plotting the curve correctly over the histograms (please refer attached image). I’m sure I’m missing something or have done something silly but can’t seem to figure out. Can someone please help? I’ve included my code
What is clf and legend in ‘plot_decision_regions’?
What are the parameters ‘clf’ and ‘legend’ in plot_decision_regions? Answer clf is the classifier object being returned from neighbors.KNeighborsClassifier, which is likely coming from sklearn. BigBen linked the documentation already for the plot_decision_regions function, which explains what they do.
Changing axis ticks in Matplotlib with multiple connected Boxplots
I am plotting a convergence graph and to show deviations from the mean I am using connected boxplots: For some reason Matplotlib forces ticks for each boxplot and I cannot seem to get them removed. My code for the current plot looks something like this: I have tried multiple ways of manipulating axis ticks which are available in MPL. 1)
how to fix the values displayed in a confusion matrix in exponential form to normal form
While working with my project, I have obtained a confusion matrix from test data as: Output as: Using seaborn and matplotlib, I visualized it using the code: The output obtained is: Confusion matrix The problem is values with 3 digits (here 1102 been displayed as 11e+03) or above are being displayed in exponential form. Is there a way to display