## Issues with clockwise polar plot

I have a list of values representing radius (r) and another representing angles (theta). I am trying to make a polar plot with North as 0 deg, East as 90 deg and so on.

I have a list of values representing radius (r) and another representing angles (theta). I am trying to make a polar plot with North as 0 deg, East as 90 deg and so on.

Please forgive the crude explanation but I’m unsure how to describe the issue and as they say, a picture says a thousand words, so what I am trying to achieve is to draw a graph in matplotlib that looks like the below:

whereby the scale of the color range is the same across all bars as the x limits of the x-axis.

I can’t quite seem to figue out how to get my curve to be displayed smoothly instead of having so many sharp turns.

I am hoping to show a boltzmann probability distribution. With a nice smooth curve.

I have two lists given.

One, named “bin_edge”, represents the lower and upper borders of 24 bins by 25 values. The second, named “counts”, represents the according counts (=values) of each bin.

I have a set of coordinates that are arranged per year, and I scatterplot them.

I create a custom colormap that reflects those years, but the issue is I can’t manage to plot the colorbar of that colormap, and replace the ticks by the values of a numpy array of datetime64. I have no idea how to do it since I don’t plot any image (and the examples online are mainly with plt.imshow).

—-> 4 import matplotlib.plot as plt

5 import seaborn as sns

I only want to fill the middle crosswalk, not all the edges of the image. How can I do it?

I have made some boxplots, similar to this:

i am trying to calculate the correlation coefficient for a scatterplot with scipy, the thing is, i have a kind of complex dataset in an ndarray, and the basic syntax does not work for me…