## Why time zone conversation doesn’t affect the figure in plotting datetime objects in matplotlib?

I’m trying to plot a figure in which dates, without times, are in x-axis and times, without dates, are in y-axis: The above code works well. However when I convert time zones from UTC to US/Eastern I get the same result, as if I did nothing. The result of both before and after time zone conversation: When I print, for example, first element of the list times before and after conversation I get different and the desired result. So the conversation works well: Answer to get a correct localization of the time, I suggest to combine the date from your

## Ploting multiple curves (x, y1, y2, x, y3, y4) in the same plot

I’m trying to plot a graph with four different values on the “y” axis. So, I have 6 arrays, 2 of which have elements that represent the time values â€‹â€‹of the “x” axis and the other 4 represent the corresponding elements (in the same position) in relation to the “y” axis. Example: The coordinates of the “LT” graph are: And with these coordinates, I can generate a graph with two “y” axes, which contains the points (-110,-113,-3,-5) and an “x” axis with the points (’18:14:17.566′, ’18:14:17.570′). Similarly, it is possible to do the same “GNR” arrays. So, how can I

## How to get data from matplotlib bar chart

How does one retrieve data programmatically from a matplotlib bar chart? I can do it for a matplotlib line chart as follows, so maybe I’m fairly close: for a bar chart, however, there are no lines, and I’m unclear what the equivalent object is: FWIW, here are a couple of related postings (that don’t go into bar charts): How to extract data from matplotlib plot Retrieve XY data from matplotlib figure Answer The API for matplotlib.pyplot.bar returns a BarContainer object matplotlib.patches.Rectangle provides a full accounting of the Patch methods. This object is iterable, and the various location components can be

## Plot multiple graphs in matplotlib, setting labels and size of each graph

I want to plot multiple graphs in a matrix (4,2) and I want that the figures at the left side have their labels in their left side and the opposite for the right side. Additionally, when I plot them in Google Colab, the graphs are all squished together, so I would like to increase their size and the spacing between them. And in the end, I would like that only the two graphs at the bottom have the x label. Could anyone give me some tips on what functions or internal parameters to use? Additionally, there is some function where

## Python uniform random number generation to a triangle shape

I have three data points which I performed a linear fit and obtained the 1 sigma uncertainty lines. Now I would like to generate 100k data point uniformly distributed between the 1 sigma error bars (the big triangle on the left side) but I do not have any idea how am I able to do that. Here is my code In NumPy there is a Numpy random triangle function, however, I was not able to implement that in my case and I am not even sure if that is the right approach. I appreciate any help. Answer You can use

## 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 are the correseponding values of X (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 the any of the arrays but it didn’t help. Any ideas? Answer I really like the tile function from numpy. I dont think there is a way around of “enlarging” X[i] to make it match the length of y[i]

## 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 on each loop? (edit: runnable code, addition of plt.show(), though this does not solve the issue) Answer Found a solution — I replaced the plt.show() with figA.canvas.draw() and figB.canvas.draw(), which refreshes both plots on every loop. Still not sure I

## 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.

## Generate BarGraph from DataFrame

So I have a generated a Disease_Data dataframe that has 2 columns, Location and Data (see below). I wanted to generate a bar graph like below: However, when I tried the code below, things did not work and gave an error: KeyError: ‘Location’ Please help, thank you Answer Just plot the dataframe

## How to plot the graph obtained after using solve_ivp from scipy package to solve a set of differential equations in python

I’m using solve_ivp in python to solve a set of differential equations in state-space form.My code is as follows: It shows error while using the normal plt.plot(t,X) command. How do I plot the graph between X and t? Please help Answer It’s a bit unclear what’s being calculated here, but checking solve_ivp‘s documentation, it seems the return value (sol in this case) has a number of fields. sol.t is the list of time points. sol.y are the calculated values for each of the 4 components of X, corresponding to each value of sol.t. Here is a way to plot each