Problem description I am having to use Anaconda on Windows, and am trying to write an RMarkdown document, knitted into a pdf, where within the RMarkdown I am us
I have a Python script that draws a matrix of images, each image is read from disk and is 100x100 pixels. Current result is: matrix of images I don't know why P
I made a pcolormesh-plot from data in NetCDF data format. I don't manage the x- and y-axis to show the right axis ticks from the data set. Instead both axis sta
How do I plot a histogram using matplotlib.pyplot.hist? I have a list of y-values that correspond to bar height, and a list of x-value strings. Related: matplot
Overview So I made a switch from an older version of Python + Matplotlib to a newer one and have notices the following change in behaviour which seems to be bre
I am plotting seven different parameters over four seasons, as shown in below image. but on last column (Post-Monsoon) sub_plots axis compromised with colorbar
I have a seaborn boxplot (sns.boxplot) on which I would like to add some points. For example, say I have this pandas DataFrame: [In] import pandas as pd
Using Cartopy, I would like to have full control of where my colorbar goes. Usually I do this by getting the current axes position as basis and then create new
I want to show a legend text but without a key (the rectangular box or line that appears by default). plt.hist(x, label = 'something') I don't want the bo
I can remove the ticks with ax.set_xticks([]) ax.set_yticks([]) but this removes the labels as well. Any way I can plot the tick labels but not the ticks a
I'd like to save multiple objects, e.g. figures, created in a loop directly to a zip file, without saving them in directory. At the moment I'm saving the figure
I am trying to use the velocity Verlet to simulate the 3-body problem. I am 95% sure that I gravitational force formula and the velocity Verlet algorithm is cor
I'm trying to overlay some cities on top of a map. import pandas as pd import geopandas as gdp import matplotlib.pyplot as plt from shapely.geometry import box
Setting xlim and ylim for axis in pyplot removes the padding. How to set them without changing the padding? Example: fig, ax = plt.subplots() x = np.linspace
I've a huge data set with 158 columns and 3.1 million rows. I'm trying to plot univariate distibutions for that data set. Code is as given below. dtf = pd.read_
I'm new to Python and now studying matplotlib to use animation function. I'm following qutip tutorial because of my study. But when I copied and pasted example
This code only saves this image. As you can see it's rather empty :| Where are my axes plots? start = 100 sim_rets = gbm( mu=m.mu, n_scenarios=m.scenari
What's the best practise to add a row and a column header to a grid of subplots generated in a loop in matplotlib? I can think of a couple, but not particularly
I am using Seaborn to plot some data in Pandas. I am making some very large plots (factorplots). To see them, I am using some visualisation facilities at my u
I am using Seaborn to plot some data in Pandas. I am making some very large plots (factorplots). To see them, I am using some visualisation facilities at my u