Category "matplotlib"

How to draw a continuous contour plot with discrete coordinate data (DataFrame form)?

The row data has 3 columns and cannot shape a uniform grid based on 'x'&'z', so I am not able to plot the contour as the existed question: Create Contour Pl

plotting error bar on x-axis on a timeseries python

I have data representing mean concentrations over 5 months, some means are over a 24 h period and some are weekly means. I want to plot everything as a scatterp

Datetime Objects on X-axis with matplotlib

I'm plotting some data using matplotlib with DateTime objects on the x-axis, but can't seem to figure out why my DateTime values aren't spaced out on the x-axis

How to plot nodes of different shapes and facecolor of bbox in the same graph using networkx and matplotlib in Python?

I want to plot a simple graph using networkx. There are two nodes with labels Python and Programming in each. The code and graph are as follows: import networkx

view limit minimum 0.0 is less than 1 with matplotlib

I know there are similar questions to mine below, but mine is minimal and does not have anything to do with pandas and also solution pd.to_datetime did not work

Matplotlib: Transformation of coordinates

I've been struggling with this issue for a while now. I simply want to transform my data in display world, perform some operations, and then translate back to t

Set Colorbar Range in matplotlib

I have the following code: import matplotlib.pyplot as plt cdict = { 'red' : ( (0.0, 0.25, .25), (0.02, .59, .59), (1., 1., 1.)), 'green': ( (0.0, 0.0,

Plot Python surface with non-square data

I ran a series of simulations and want to create a response surface of the performance based off my two parameters, tol and eta. The issue I'm having is actuall

How to make fixed ticks for graph using matplotlib [duplicate]

I am trying to make a graph with fixed ticks, regardless to the points values. For example, I want the ticks to be 0-6, and the points values

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