I am having trouble generating uniformly distributed points on a sphere. The current code seems to be creating points that form a disk shape instead of being spread evenly across the surface of the sphere. I suspect that the issue lies in the calculation f ...
Currently, I am attempting to display the most frequently used words in a plot, however, I am encountering an issue due to the language being Arabic which does not align with the format. fig, ax = plt.subplots(figsize=(12, 10)) sns.barplot(x="word", y="fr ...
In my current project, I'm working on generating a figure with the x-axis set to a base-10 log scale. I want the labels to display as plain numbers (1, 10, 100) for shorter values and in an abbreviated format with superscripts when they are longer ($10^{3} ...
I am currently diving into the world of MATPLOTLIB by following examples from the book "Matplotlib for Python Developers". . One example in particular involves the use of the following code: import matplotlib as mpl mpl.use('GTKAgg') import matplotlib.pyp ...
Is there a way to adjust the x and y axis label numbers by adding +2? In other words, I have created this image but I need the label numbers to start with 2: https://i.stack.imgur.com/LeHjF.png Here is the code I used: jacaardMatrix = 1.6628873771730914 ...
Consider the sample code snippet below: %matplotlib notebook import matplotlib.pyplot as plt from cycler import cycler bar_cycler = (cycler(color=["#E69F00", "#56B4E9"]) + cycler(hatch=["/" , "o"])) p ...
When attempting to run the code example provided here and available for download here in Python 3, I encounter an issue: import matplotlib.patches as mpatches import matplotlib.pyplot as plt red_patch = mpatches.Patch(color='red', label='T ...
Imagine there is a function that assigns either 0 or 1 to points in the unit square $[0,1]^2$. Can you provide steps on how matplotlib can be utilized to visualize the regions within the unit square where the function outputs 0 or 1? ...
My DataFrame contains Time, Mean, STD, Min, and Max columns. I'm attempting to make a plot with three lines: Mean, Min, and Max, while displaying the STD as a shaded area around the Mean. However, I'm encountering an issue where the y-label isn't showing ...
I have created a visualization using a stacked barplot to compare the percentage of occurrences between two classes of objects over a period of time. While the visualization is helpful, I am looking to improve it by removing annotations where the value of ...
Having an issue here where the 'pyplot' element of 'matplotlib' cannot be called. In the given code snippet, I had to include "TkAgg" for the matplotlib element to function properly, as it is a common problem. import matplotlib matplotlib.use("TkAgg") Bu ...
I am facing a challenge where I need to save displayed images based on user input, but the issue lies in the fact that unlike plt.other_plots(), plt.imshow() does not overwrite the existing figure, rather it creates a new figure below the existing one. How ...
One thing I'm curious about: I used sns.clustermap() to plot the coefficients of 7 variables. The x/y ticks label appear too small (In my case, they are labeled as s1, s2,... s9) Experimented Solutions label='big' tried but no noticeabl ...
Currently working with sympy and matplotlib, I am aiming to create a plot with multiple subplots in a similar fashion to how it's done using pylab.subplot while utilizing numpy. In theory, this task should be straightforward, but as I delved into it, ...
After creating a dataframe from a shapefile using geopandas, I proceeded to plot it using the gdf.plot function. My goal is to assign color values to different data categories in the specified format: {'1':'black(or color hex code)', & ...
In R plots, the x and y limits are automatically adjusted to add some space between the data and the axes. I am curious if matplotlib has a similar feature to do this automatically. If not, is there a specific formula or rule of thumb that R uses to dete ...
It appears that you have the capability to include a title for each subplot, as explained in this discussion: How to add title to subplots in Matplotlib? Is there a method to incorporate an overarching title in addition to the individual subplot titles? ...
I'm working on drawing a network where each community is represented by colored nodes (I already have node lists for each community). This is what I currently have: plot = nx.draw(G3, nodecolor='r', node_color= 'white', edge_colo ...
Being new to Python, I must apologize if this question seems easy. (it appears simple to me, but I'm having trouble...) After performing an IV sweep on a Keithley SMU 2400, I received a list of numbers in the following order: [v0, c0, t0, v1, c1, t1 ...
I need to showcase the data in my dataframe, which looks like this: count_single count_multi column_names 0 11345 7209 e 1 11125 6607 w 2 10421 5105 j 3 9840 ...
My latest project involves creating a plot with 4 subplots, each displaying a different type of analysis on some infrasound data. Here is the snippet of code I used to generate these subplots: gs = gridspec.GridSpec(2, 2, width_ratios=[1,1], height_ratios ...
I have a functional code snippet, but I believe there is room for improvement. Essentially, I have lists that I zip together and then create a subset based on a condition. The goal is to plot both the original zip list and the subset, with the subset in a ...
https://i.stack.imgur.com/T5BbL.png Can anyone assist me in creating a similar picture with different labels and ticks on the top and right axes? ...
My aim with matplotlib is to create a scatter plot where both markers and colors vary. import matplotlib.pyplot as plt import numpy as np markers = np.array(["1","2","3","4","+",">"]) # Sample Data x = np.array([0, 2, 3, 4, 0, 1, 5, 6, 7, 8]) y = np.a ...
Although there are already answered questions about plotting in Python where x-axis values appear more than once, with the difference being that my data points are not equidistant. I want to plot over a fixed x-axis range that is not strictly related to th ...
I've been attempting to replicate the steps outlined in this tutorial: The goal is to create a heat map similar to this example: https://i.stack.imgur.com/qW8Yo.gif However, instead of the desired output, I'm getting this result: https://i.stack.imgur. ...
Looking to adjust the voxel dimensions using Matplotlib. How can I achieve this? import numpy as np import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D fig = plt.figure() ax = fig.gca(projection='3d') # Create grid test2 = np.zeros((6 ...
I recently came across some code that creates a set of small multiples and it is functioning flawlessly. fig, axes = plt.subplots(6,3, figsize=(21,21)) fig.subplots_adjust(hspace=.3, wspace=.175) for ax, data in zip(axes.ravel(), clean_sets): ax.plot(d ...
A numpy array named precip_subset holds data in the shape of (31, 60, 48). This array is a result of merging 31 datasets where each position represents unique values for precipitation. For example, accessing the value at index [1,0,32] returns 1.05. The c ...
I'm trying to figure out how to plot an image that has been converted into an array using keras.preprocessing.image.img_to_array. Here's my approach. To provide a simple example, I downloaded a picture of a duck from the internet: import urllib.request ...
I'm currently working on an iPython notebook where I aim to display a graph of data points within a specific timeframe. Most of the coding is complete, but I need assistance in enabling the selection of a start and end date, after which the program wi ...
I've been struggling to update a graph using matplotlib with python and wxpython. My goal is to press a button and add new data to a graph within a wx.notebook. See the code snippet below. Any assistance would be greatly appreciated! import wx import mat ...
from scipy import * import matplotlib.pyplot as plt def plot_elines(x_grid, y_grid, potential, field): fig, ax = plt.subplots(figsize=(13, 13)) im_cs = ax.contour(x_grid, y_grid, potential, 18, cmap='inferno') plt.clabel(im_cs, inli ...
When creating plots with matplotlib for a research publication, I encountered an issue where graphs with more than 6 categories resulted in repeated colors beyond the default color palette. To address this, I tried using different stylesheets like seaborn, ...
I have been experimenting with plotting a section of a matplotlib.patches.FancyArrowPatch in a dashed style. Following the guidance provided in this Stack Overflow post pyplot: Dotted line with FancyArrowPatch, I was able to achieve a close approximation: ...
To create a scatter plot with different colored dots based on the values in the column 'Value', I want to assign blue for "rand" and red for "qmax". Here is the code I have written: import matplotlib.pyplot as plt import numpy as np import pandas ...
I am working on creating a basic histogram using matplotlib in Python. The histogram will display the distribution of comment lengths based on several thousand comments. Here is the code I have so far: x = [60, 55, 2, 30, ..., 190] plt.hist(x, bins=100) ...
I am in possession of a dataset containing information about the Olympic games. My goal is to determine the total number of medals won (Gold/Silver/Bronze) for all sports in a particular country. In the case of Germany, ...
Can anyone provide tips on determining the highest y-value in a histogram? #Seeking advice on finding the maximum value of y in a histogram import matplotlib.pyplot as plt hdata = randn(500) x = plt.hist(hdata) y = plt.hist(hdata, bins=40) ...
Currently, I am attempting to visualize multiple data points being transmitted over the USART serial bus from a microcontroller using Python. It would be ideal if I could plot all this data simultaneously and in real-time. Interestingly, when plotting a s ...
I have been attempting to incorporate the Radar chart code (found at this link) into a GUI that includes a widget. Instead of simply plotting x and y values on the widget, my goal is to display a radar chart, but I'm facing difficulties in achieving this. ...
I am working with a scatter plot in matplotlib and have implemented an onpick() action on the points. When a point is selected, I perform a computation that takes approximately 30 seconds. To provide immediate feedback to the user, I would like to draw a r ...
I am currently working on a histogram in matplotlib that contains around 260,000 data points. The issue I am facing is that the y-axis on the histogram displays high numbers like 100,000. What I would prefer is to have the y labels represent thousands ins ...
import matplotlib.pyplot as plt import numpy as np x = np.arange(10) fig = plt.figure() ax = plt.subplot(111) for i in xrange(5): ax.plot(x, i * x, label='$y = %ix$' % i) ax.legend(bbox_to_anchor=(1.1, 1.05)) plt.show() I encountered the function ...
Does anyone know how to change the border color from dark gray to white? I've attempted a few methods without success. Below is the code and image: Image here import numpy as np import matplotlib.pyplot as plt plt.style.use('classic') from ...
I am experimenting with reproducing the HistogramPlotter output using pandas and matplotlib. The output from the link provided has this appearance: https://i.stack.imgur.com/OlBAs.png However, my current script's output is noticeably more compressed at t ...
My goal is to create a unique visual representation called a scatter pie plot, which groups data by two specific columns: Column1 and Column 2. The color displayed in each section of the pie chart is determined by the values found in Column 3. You can see ...
As per the information provided in the seaborn documentation, it states that the whiskers generated by its boxplot method should be 1.5 times the Interquartile Range (IQR) long. However, when looking at the plot shared in the documentation, this assertion ...
I have been working on visualizing gene expression levels by plotting pyplot arrows colored based on alpha values that represent expression levels normalized between 0 and 1. Now, I am looking to create a legend that shows the relationship between alpha va ...
I've been experimenting with creating side-by-side violin plots using Matplotlib and Seaborn, but I'm facing challenges in getting them to display correctly. Instead of being superimposed, I want to compare the average Phast scores for different ...
I am currently working with a dataset that is recorded on a weekly basis and I want to create a matplotlib plot using this information. The date format I am using is yyyymmw, where w represents the week of the month (ranging from 1 to 5). Each week starts ...
Dealing with multiple rows of subplots in matplotlib can lead to issues where the xlabels of one row overlap with the title of the next. Adjusting pl.subplots_adjust(hspace) becomes necessary but it can be quite annoying. Is there a way to set hspace that ...
I am working with a dataset obtained from a mechanical indentation test. You can access the dataset through this link: The dataset contains information on the displacement of a spherical probe vs the force recorded during the test. My goal is to fit these ...
Current Operating System: OSX 10.11.3. I have successfully installed Python versions 2.7.10 and 3.4.2 on my system. I ran the command: pip install matplotlib Pip Installation Log The log shows that matplotlib is being downloaded and installed with al ...
Exploring the frequency version of Planck's law has been quite a journey for me. Initially, I attempted to tackle this challenge on my own with the following code snippet: import numpy as np import matplotlib.pyplot as plt import pandas as pd import ...
Is it possible to use time as x-axis values for a live matplotlib graph? If so, how should it be implemented? Despite trying various methods, I keep encountering errors. Below is my current code: update_label(label): def getvoltage(): f=ope ...
I am visualizing 2D data using Matplotlib by first plotting it with pcolor(), then overlaying it with contour(). After adding a colorbar(), I noticed that I am getting either a horizontal line for the contour levels on the left or a color bar on the right ...
I am attempting to utilize a colorbar to label discrete, coded values shown using imshow. By utilizing the boundaries and values keywords, I am able to achieve the desired colorbar where the maximum value is effectively 1 greater than the maximum data valu ...
I am working with a series of floating point numbers ranging from 0.01 to 1.0, assigning them to specific points on a matrix. Currently, when I assign these floats to a point, they cover the entire color spectrum, with 1.0 appearing as black and 0 appearin ...
When attempting to create a pyplot graph, I am having trouble accessing the function that allows me to change the 'x tick labels'. Even though I know this function exists, my code is not recognizing it. After researching online, it seems like I m ...
Is there a way to change color in a matplotlib plot using html in Python? I attempted plt.plot(x,y,marker=".",color="#e0e0e0") However, this resulted in data points displayed as ".", connected by lines of color #e0e0e0 which is not desired. I also experi ...
Is it possible to adjust a colormap color scheme to maintain the same color past a specific point? For example, if my current colormap is: import palettable cmap = palettable.colorbrewer.sequential.YlGn_9.mpl_colormap How can I alter this colormap so th ...
Two arrays of numbers ranging from -1 to 1 have been generated: a = 2*np.random.sample(100)-1 and b = 2*np.random.sample(100)-1. These arrays represent a system of linear inequalities defined by: a[i]*x + b[i]*y <= 1 for i = 0,1,..., 99 The solution ...
Is it possible to utilize sphinx's automodule:: and other automatic features to document modules that contain from x import * statements without including all of the documentation from the imported modules? UPDATE: According to mzjn's observation, if the ...
I have a random walker moving in the (x,y) plane and a bivariate gaussian distribution in the (x,y,z) plane. These two datasets are completely independent. My goal is to randomly sample 5 pairs of (x,y) from the random walker's path, then draw vertical li ...
While utilizing an IPython notebook with: ipython notebook --pylab If I am executing a CPU intensive code, the previous matplotlib figures become unresponsive. Is there a method to run matplotlib on a separate thread? I have experimented with the ion() c ...
Looking for an improved method to create a 3D plot of a plane with an image using matplotlib? Here is one way: xx, yy = np.meshgrid(np.linspace(0, 1, img_size[1]), np.linspace(0, 1, img_size[0])) zz = np.ones((img_size[0],img_size[1])) ax.plot_surface( ...
For my website, I am utilizing a Nextjs frontend along with a FastAPI backend. On the frontend, there is an input form for capturing an 'ethereum address'. Using this address, a matplotlib chart displaying 'ethereum balance over time' is generated on the b ...
Having extracted data from a SQL database table, I am encountering persistent challenges in plotting a graph between two variables due to conversion issues with data types. I initially converted a list to a str, and now I'm attempting to further conve ...
Whenever I try to specify a pandas dataframe column for the size argument in a matplotlib scatter plot, I keep running into this error: "Cannot cast array data from dtype('S3') to dtype('float64') according to the rule 'safe'" Despite the fact that t ...
Here is my code snippet: import numpy as np import matplotlib.pyplot as plt x = np.random.rand(5) y = np.random.rand(5) markerfacecolors = ['k','k','none','k','k'] plt.plot(x,y,'--o',markerfacecolor=markerfacecolors) After running the above code, I enc ...
I have a simple animation featuring a basic line plot using ax.plot(...). I decided to tweak it so that it now displays a stackplot instead of the line plot (see code snippet below). The issue is that the plot doesn't seem to refresh the background with e ...
I am currently working on developing a polynomial calculator that allows me to input the largest coefficient. However, I am facing an issue with the xizes variable, which is producing multiple arrays representing the function image. As a result, the functi ...
I am currently using matplotlib and numpy to generate a polar plot within my project. Below is a snippet of the code I've been working with: import numpy as np import matplotlib.pyplot as plt angle = np.arange(0, 360, 10, dtype=float) * np.pi / 180.0 arb ...
I have been experimenting with some code snippets from the book Python for Data Analysis and encountered an intriguing challenge. I am curious to know if there is a technique to invert the colors of a colormap, like transitioning from blue to pink in rever ...