I am trying to plot a scatter plot on top of a bar plot using sns.scatterplot() and df.plot(kind=’bar’); The figure turns out to be fine, but it would be even nicer if I can align each of the scatter points to its corresponding bar with an identical label. I have read the document on Rectangle of matplotlib.pyplot that it has
Tag: matplotlib
Line up plots between two separate axis with matplotlib
I have the following plot Which looks as : I would like to arrange the patches on the right plot (ax_dict[‘b’]) so that they’re horizontally aligned with the bars from ax_dict[‘a’]. Currently they’re roughly inline – but the bars are higher / lower on the right than the bars on the left (red circles indicate the “gaps”, which wouldn’t be
Zoom Region Not Working Properly – Matplotlib
So, I was trying to get a subplot of a region from an plot that should be zoomed in. Code: (Minimal, Reproducible one) It is showing this: It should show somewhat like this: or somewhat like this: (Collected) What should I do now? Thanks. Answer Solution: I just forgot to adding the scatter function. axins.scatter(xpoints, ypoints)
Matplotlib dates.DateFormatter forcing the display of nanoseconds
I encounter an issue with Matplotlib.dates.DateFormatter : I want to convert timestamps in Date format which is simple usually with the straftime but when using it on matplotlib i don’t have the dynamic position on my graph so I used the md.DateFormatter(‘%H:%M:%S.%f’) to have the X values as a date format with the dynamic index. The fact is, my dates
How to change the frequency of x ticks for time data?
How can I change the frequency of my x ticks to every hour using matplotlib.pyplot? I looked at similar posts, but could not figure out how to apply their solutions to my data since I only have times, not full dates. Here’s an example of my data: Answer See: https://matplotlib.org/stable/gallery/text_labels_and_annotations/date.html
What is the matplotlib equivalent of MATLAB Figure.Position?
I am working on converting some MATLAB plotting code to Python / matplotlib. The original MATLAB code contains this: I am trying to determine the matplotlib equivalent of the assignment to F.Position. MATLAB docs describe this property as conveying the location and size of the drawable area, but matplotlib.figure.Figure does not appear to have a corresponding property. matplotlib.axes.Axes does seem
Subplotting of Pandas.DataFrameGroupBy[group_name] does not yield expected results
This is a re-opening of my initial question with the same title which was closed as duplicate. As None of the suggested duplicates helped me to solve my problem, I post this question again. I have a DataFrame with time series related to some devices which come from a hdf-file: This produces the following output: What am I doing wrong?
How to fit a power law to the dataframe and plot it?
I have two columns(rcs,range) in a dataframe. rcs range -40 12.9 -35 14.9 -30 22.9 -25 35.44 -20 43.48 -15 62.4 -10 92.4 -5 132.99 0 182.6 5 252.99 I want to plot a curve with equation rcs = range^4 I tried the following 1.as a polynomial curve fitting in the above plot,the curve is not a smooth curve and
Coloring in matplotlib scatter plot does not obey the predefined color sequence of my ListedColormap(cmap)
I have an issue when I am trying to use predefined color sequence for the labels of my data. In detail, I am using the parameter c of scatter plot for the labels of my data, and then cmap=ListedColormap(km_colors) for coloring them according to my colors list. However, it looks like the colormap decides for itself how to color the
x axis label cropped on saved image
So I’m trying to do a bar plot on a data where x is the username (string ) and each x is long enough to overlap each other, so I have to rotate the x label. No problem there. However, when exporting the plot results, the x label on the exported image is cropped. I tried using plt.tight_layout() and worked,