I have a pandas dataframe of shape (39, 67). When I plot it’s seaborn heatmap, I don’t get as many labels on the X and Y axes. .get_xticklabels() method also returns only 23 labels.

I have a pandas dataframe of shape (39, 67). When I plot it’s seaborn heatmap, I don’t get as many labels on the X and Y axes. .get_xticklabels() method also returns only 23 labels.

I have a pandas dataframe of shape (39, 67). When I plot it’s seaborn heatmap, I don’t get as many labels on the X and Y axes. .get_xticklabels() method also returns only 23 labels.

I have a displot: I want the data for Corn to be a different color (say Red and Green) and the data for soy to be (Orange and Blue)

I want to set the title of each graph to be the crop type and the interval it is looking at.

I am attempting to make a swarmplot for my data where the the top 20 most frequent times appear on the y-axis, and each count value for each time is plotted. For some reason, when I plot just the times, the graph is shaped perfectly, but does not contain a y-axis for the counts/frequencies.

median = 3637 std = 1274.997414 perc_25 = 2627.0 perc_75 = 4238.0 I have 4 values derived from data. How can I make a Boxplot out of this? I expect a line symbolizing median, a box delimited by 25-percentile and 75-percentile and one point on each side for median+std and median-std. Usually I need a […]