Category "matplotlib"

pcolormesh plot with data from csv file

I have some time series data in the following format from csv file: Time 1 5 10 18 21 22 29 30 35 2019/11/01 09:00 5

Plotting the frequency of occurrences per date

I'm new to pandas and plotly. And I have a large csv file with two columns, a date column and a column that contains a string of text (event). Each event is a n

Changing the time scale of a matplotlib graph in a real-time fashion

I'm making a real-time application that graphs sensor data in a real-time fashion. The data is saved to a .csv file and graphed using matplotlib in the followin

Setting coordinates for sphere

I have a code that produces a sphere. I want to change the coordinates in which the sphere spawns import numpy as np import matplotlib.pyplot as plt from mpl_to

How to add a geomdl NURBS curve to an existing axis?

I'm trying to work with NURBS using geomdl. I already have an matplotib axis, where several elements are plotted using: plot() scatter() imshow() (for Backgr

Making a plot that has an x-axis that has neg. values representing hours prior to the start of the event, then pos. values representing hours after

I'm not sure if my question makes sense, so apologies on that. Basically, I am plotting some data that is ~100 hours long. On the x-axis, I want to make it so t

Trying to find a graph in matplotlib

I have data that show the difference of temperatures from 1955 to 2020 from an average. I want to make a graph in matplotlib that looks like this: It shows tem

Python with matplotlib and tkinter is working but I don’t understand how

I’m writing a program to help me solve small puzzles, like Sudoku. I’m a newbie at Python and am just starting to use matplotlib and tkinter. I&rsqu

Disable the output of matplotlib pyplot

I have an array A of shape (1000, 2000). I use matplotlib.pyplot to plot the array, which means 1000 curves, using import matplotlib.pyplot as plt plt(A) Th

How to mark the maximum value and location of 4 equations in one plot (shear diagram - portal frame)?

I´m an mechanical engineering student and I'm trying to make a shear diagram of a portal frame. In the code below I want to identify for each equation (4

seaborn joint plot not working with logarithmic axes

I'm trying to plot via: g = sns.jointplot(x = etas, y = vs, marginal_kws=dict(bins=100), space = 0) g.ax_joint.set_xscale('log') g.ax_joint.set_ys

how to make the box in my boxplot bigger?(matplotlib)

I use the matplotlib boxplot and plotted this graph. My question is how can I make the box larger or make the y-axis interval wider?

Matplotlib PathPatch Colors and Legends not Matching

I have a dataset that is a list of lists. Each list is a category to be plotted as a box plot. Each list has a list of up to 9 components to be plotted into sub

Plotting Multiple Series of Lines on the Same Plot

I am attempting to graph battery cycling data similar to this . Each line is one cycle worth of datapoints and should be one line on the graph. At first the cod

How do I superimpose an image in the back of a matplotlib plot?

I'm trying to superimpose an image in the back of a matplotlib plot. It is being rendered as HTML in a flask website so I am saving the plot as an image before

Combining various image channels after gaussian filtering produces white image

I am trying to implement a gaussian filter for an image with dimensions (256, 320, 4). I first generated a gaussian Kernel for the same and then individually pe

How to plot a marker around eye region according to face landmarks of mediapipe Python

The question is how to find the eye coordinate using the multipipe library and place a marker at the left,right, top, and bottom of each of the eyes using cv2 l

Plot variant abundance vs. time (e,g, of mutant strains) in python

Given [absolute] numbers for each of a number of variants over time, I would like to produce a plot like the following: Is there a function for this in Python

How to create a comparison plot from an Excel file with many worksheets

I want to create a plot that will have in the x axis the months and for each country it will show the Orders per month. Attempting to create a function that rea

Why converted images now shown as grayscale?

I am working on image compression problem, i want to convert the images from 3 channel to 1 channle , i used tf.image.rgb_to_grayscale(img_data_array, name=None