Matplotlib range slider Slider). 1, Thresholding an Image with RangeSlider¶. multiple subplots, some using I'm using matplotlib sliders, similar to this demo. Using matplotlib slider widget to change clim in image. l you have a list of objects and not the object itself. What is the best way to achieve this? Maybe its possible to adjust a boxplot or a fill_between plot? In this post: Interactive Stock Chart, step by step animation with keyboard arrows, with Matplolib, I wrote a code, in which the user Zephyr brilliantly fixed, that interactively simulate a stock using keyboard arrows. You need to put this line: graph = FigureCanvasTkAgg(fig, master=notebook. Creating interactive Matplotlib histograms with Button widget. See Slider for an example of using a Slider to I have this script that uses the matplotlib Slider object to control the colormap of a histogram. I found an example on Matplotlib how to make sliders so I copied to see if it worked with my function. Matplotlib Slider Widget：交互式数据可视化的强大工具 参考：Matplotlib Slider Widget Matplotlib是Python中最流行的数据可视化库之一，而Slider Widget是其中一个强大的交互式工具。本文将深入探讨Matplotlib Slider Widget的使用方法、应用场景以及高级技巧，帮助您充分利用这一功能，创建动态、交互式的数据可 I've created a function that plays an animation using a slider. The other option, more in the spirit of l. canvas. 7. I am trying to create a slider for time in Jupyter Notebook using ipywidgets. How to update the color bar in an interactive plot. I want to make a interactive bokeh plot using slider widget. l. Can I make matplotlib sliders more discrete? 6. widgets import Slider, Button, RadioButtons class LukeOutline(tk. When I try to re-draw it, nothing happens. The slider border is just the spines of the Axes instance. The slider behavior in matplotlib has changed with recent updates. set_value approach of the matplotlib slider example would be to generate the histogram data with numpy, use a bar chart and update this using bar. update x value using slider matplotlib. Slider instance, I want to modify the Slider valmin, valmax and val attributes, and then re-draw the Slider. Commented May 31, 2020 at 11:34. pyplot, the only way to change the color range is to set up limit and low limit separately. You should create one axis for the 3D plot and another one for the slider: Thresholding an Image with RangeSlider#. pyplot as plt %matplotlib inline import numpy as np def plot_func(freq): x = np I have small question. Slider not working and updating values in graph. See Slider for an example of using a Slider to control a single float. 10000 was overkill lol. df = pd. all of them used plotly's default I succeeded in making the slider, but I am having trouble with the function that is supposed to update the import numpy as np import math import matplotlib. figure import Figure from matplotlib. Matplotlib Version. I'm using the slider example on the matplotlib site for reference, but for some reason even though I pass in 0-255 as my slider range when I run my script the range is always 0-7. set_height and bar. returns a new The sliders are to be used for selecting a range of data (they are connected to vertical lines on the numpy as np from matplotlib. The slider rectangle will still show up on the plot, and I am able to “slide” the numbers around, but it’s not I've fix the "problem". About; Using matplotlib Slider to create an interactive plot with different non-equally spaced parameters. 35) # Create and plot sine wave t = np Thresholding an Image with RangeSlider¶. Syntax: clas Matplotlib Updating slider widget range. Using Python 3. Hello, I try to threshold an image manually by using a slider widget to set the threshold value (I don’t binarize my image, but mask it). The user has the option to select the time range for which he wants to see the data. thank you – Abhay Using Matplotlib sliders with multiple plots on the same axes. Create a slider that defines a range contained within [valmin, valmax] in Axes ax. There are some arguments, such as vmin and vmax that are both scalar and often make sense to have as two ends of a RangeSlider. My code below constructs a function that takes as its inputs two lists of 4-by-4 matrices having the same length. label: str. widgets import Slider from scipy. Here I describe how you can set up an interactive slider. %matplotlib inline !pip install --upgrade matplotlib import numpy as np import matplotlib. Sadly they did not implement something such as (for ex. 25, 0. subplots() plt. so in the slider the valmax or valmin needs to Slider Demo¶ Using the slider widget to control visual properties of your plot. 5. Slider# In this example, sliders are used to control the frequency and amplitude of a sine wave. ticker import MaxNLocator I'm trying to use a slider to adjust a parameter in a contour plot, but when I do so, I get: AttributeError: Matplotlib Updating slider widget range. Upon a tkinter canvas I want to use a single slider to an We set up the figure with a subplot for the actual plot and the matplotlib widget ‘slider’ initialized with a certain value. How can I improve scrolling speed in matplotlib when a figure contains many axes? 1. winfo_children()[0]) before the creation of the slider. subplots_adjust(bottom=0. I can also not get a draggable cursor, though in the exemples of matplotlib it seemed to be possibe: Here you can see white Matplotlib Updating slider widget range. widgets import Slider import numpy as np import glob import h5py #Define the xy size of the mapped array xsize=3 ysize=3 lengthh5=9 readlist=[] for i in range (0,lengthh5): npraw=np. The complete example is then: import numpy as np import Matplotlib Updating slider widget range. I tried the following code. I want to make it scrollable so that I can see more details. Initialization code : import numpy as np import The problem of creating a single discrete slider has been solved here. My main issue is to understand the update function in order to make the update of the range slider. Thus, if w1, w2 and w3 are the 3 weights, then w1 = slider1, w2 = slider2*(1-w1), and w3 = 1 RangeSlider ウィジェットは、 widgets. In this example, a slider is used to choose the frequency of a sine wave. This is my code so far. plot([0,1,2],[0,1,n]) plt. pop(0) and see that one element is popped from the list. 4. ttk as ttk import matplotlib import matplotlib. pyplot as plt from ipywidgets import interact %matplotlib inline def f(n): plt. series()) so in self. 4, Mac OS 11. 9. Linking ipython widget button and slider values. The following code shows how we place the Slider widget of the Matplotlib Library in our plot. How to define the default value of a Slider widget on ipywidgets? 1. backends. A slider representing a floating point range. The final Plot from the example bellow should show only the xaxis = 4 to 10 and yaxis = 0 to 1000. matplotlib widget: create different sliders by clicking different buttons. folder. See Snap sliders to discrete values for an example of having the Slider snap to discrete values. FloatSlider import pandas as pd import numpy as np import matplotlib. autoscale_view additions) - the other half was that I needed to change the definition of the derivative functions to actually accept the c_slider val being passed to them, instead of always taking the same globally defined c value at the top of the script. Matplotlib slider color change. Can I make matplotlib sliders more discrete? I would like to be able to create multiple discrete-sliders. constants import * %matplotlib tk #Defining constants and variables of interests hbar_sq = hbar**2 The range of each slider is specified by the min and max parameters. 1. 2. I am plotting a graph using matplotlib in python using Jupyter and I want to make a slider below the graph,I mean parallel to X-axis (in same plot) which take the slider value in python code and update the graph on the basis of slider value. figure() ls = [] for k in range Thresholding an Image with RangeSlider¶. set_ydata(self. from matplotlib import pyplot as plt from matplotlib. I have also added a feature to only zoom in x if you're directly above or below the x axis, and only in y if you're directly left Thresholding an Image with RangeSlider#. Up through matplotlib 3. The function's arguments consists of a list of text labels to be used both for the heatmap axes labels as well as the barplot horizontal axis labels, a list of matrices, and a list of lists to be used for the barplot. Stack Overflow. 3. The major difference is that Matplotlib's Slider widget offers various customization options such as adjusting the appearance of the slider by specifying the range of values, setting initial values and defining step sizes. Setting a matplotlib sliders label position. These features help tailor In this lab, we have demonstrated how to use the RangeSlider widget in Matplotlib to control the thresholding of an image. l[0]. Finally, we can update the plot whenever the sliders are moved by defining a function that is called whenever the slider values change. Jupyter Notebooks provide a powerful platform for creating interactive visualizations using Matplotlib. update bar chart using a %matplotlib inline from ipywidgets import interactive import matplotlib. # initialize matplotlib figure fig, ax = plt. Python Using pyplot slider with subplots. lines. rand(200,50,50) readlist. l = plt. it/500/300' respon Matplotlib provides several widgets to make interactive plots. Matplotlib version: 3. Polygon), and updated it according to the horizontal assumption. Among these widgets, the Slider widget is discussed here. 9, matplotlib 3. 25, . matplotlib slider not working when called from a function. The problem I have is that when I change parameters using the slider, a new plot is done after the previous one, instead I would from ipywidgets import interact, interactive, fixed, interact_manual import ipywidgets as widgets import matplotlib. And in my project I need two sliders, one green and one red. Slider label. I cannot figure out why if I put the initial threshold to the max value of my original image, my thresolded one is monochrome while with another initial value, Bug summary I think xy[4] = . enter image description here. Slider(ax, label, valmin, valmax, valinit=0. Scale Y axis of matplotlib plot in jupyter notebook. code. plot(obj. pyplot as plt from matplotlib. You can control many continuously-varying properties of your plot in this way. pyplot as plt from matplotlib import cm import numpy as np import ipywidgets as wg import os import pandas as pd from matplotlib. multiple subplots, some using slider widget Hey I am trying to create a scatter plot with a slider that updates the plot as I slide across. multiple subplots, some using I want to make a dynamic plot with the help of matplotlib Slider. Here's a modified example (I'm multiplying the slider value by 2 in order to To your edit: When you add a second plot, you have two lines objects. Thresholding an Image with RangeSlider¶. ) right click to change the highest range. linspace(0,30, num=30), np. Thanks Using %matplotlib notebook. widgets import Slider, Button # Create subplot fig, ax = plt. I would like to study how the plot changes when I change some of them. backend_tkagg import FigureCanvasTkAgg fig, ax = plt. 6. valmin = 3 slider. I have found examples for making a line plot scrollable at here: Matplotlib: scrolling plot However, updating a candlestick seems way more complicated than updating a line chart. Instead of the inline backend, you may use the notebook backend. I’m creating a few sliders on python using matplotlib, and a few of the sliders I need to have will have ranges that are quite small (such as a range from 10E-15 to 10E-8, etc. I want to make a dynamic plot with the help of matplotlib Slider. Help . append (npraw) fig=plt. Refactored code into a class and added feature to select folder. In this example, sliders are used to control the frequency and amplitude of a sine wave. I created some script that calls the matplotlib one and generates different snapshots that later I convert into a movie, it is not bad, but a bit clumsy. Matplotlib Slider Widget and changing colorbar threshold. How do I fix my slider? It isn't working as intended. I want to be able to slide the slider and see the effect EDIT: I also changed the slider range, forgot to comment that. The major difference is that RangeSlider's val attribute is a tuple of floats (lower val, upper val) rather than a single Slider() is used to place a slider representing a floating point range in a plot on provided axes. Try to print ax. See Thresholding an Image with RangeSlider for an example of using a RangeSlider to define a range of values. widgets import Slider, Button import numpy as np ## Slider parameters w_init = 1 # Initial value for slider w_min = 1 # Minimum value of slider w_max = 10 # Maximum value of Matplotlib Updating slider widget range. See Slider for an example of using a Slider to The RangeSlider widget allows selecting a floating-point range using a slider with two handles. import numpy as np from scipy. In my search I have come across slider Skip to main content. 1 there is an orientation keyword. Each frame consists of a heatmap (with colorbar) above a barplot. t,obj. Since this is your first question on SO, I still answered your question, but be aware that you need to show some effort to solve the problem when asking a question here. widgets import Slider from matplotlib. set_x with a rescale on the axis. So Learn how to use the RangeSlider widget in Matplotlib to control image thresholding for segmentation and feature extraction. widgets import Slider class Sliderlog(Slider): """Logarithmic slider. The RangeSlider widget can be used similarly to the . How can I change slider color in matplotlib? by default it`s blue. I am trying to plot the values of a bitwise circular shift on 1 byte. We do this by exploiting the appropriate function, Slider, in which we specify multiple properties related to the button. You may display the newly changed figure after it has been Snapping Sliders to Discrete Values¶. Using the RangeSlider widget to control the thresholding of an image. 75] range. Slider() is used to place a slider representing a floating point range in a plot on provided axes. Insert . The progress bar can be directly accessed for basic customization in the constructor, and the initial status indicator is an attribute of the slider. The problem is my dataset is big. Now i want to add a slider. This will allow to call figure. Creating interactive matplotlib plots with sliders in Python can be a powerful way to visualize and explore data. IPython notebook interactive function: how to save the updated function parameters. ). widgets import RangeSlider # generate a fake image np. ipynb_ File . The code: I am trying to create a bar range plot with a temporal x-axis with matplotlib. See Snapping Sliders to Discrete Values for an example of having the Slider snap to discrete values. Here is def cmap_center_point_adjust(cmap, range, center): ''' converts center to a ratio between 0 and 1 of the range given and calls cmap_center_adjust(). See Image scaling using a RangeSlider for an A range slider is a graphical user interface (GUI) element commonly used to specify a range of values by dragging two sliders. In this example the Freq slider is constrained to be multiples of pi, and the Amp slider uses an array as the valstep argument to more densely sample the first part of its range. The easiest way is probably to use hyperslicer: Hyperslicer Tutorial — mpl-interactions 0. Consult the Axes Docs Page to see what the numbers do. To define the initial function, we create two arrays “x” and “y” which contain the data points describing the function. It needs indentation all the way to steps. valmax = 7 In order to reflect this change in the slider axes you need to In order to create a RangeSlider rather than a Slider you prefix the tuples with either "r" or "range", then the rest of the tuple is created according to the rules from converting tuples to sliders. What I want to do is for the plot to display only 1000 bars of data from the whole Stock time series and then implement a Sider below that will allow the plot to slide across the whole range of Stock display a specific range of 1000 bars. import matplotlib. The slider rectangle will still show up on the plot, and I am able to “slide” the numbers around, but it’s not You can directly create a log slider by creating a new class inheriting from the matplotlib slider and edit the function that set the value like so : from matplotlib. Section Navigation Lines, bars and markers Bar color demo Bar Label Demo Stacked bar chart Inside the call-back associated with a matplotlib. SelectionRangeSlider( options=options, index=index, description='Time slider', orientation='horizontal', layout= I'm create a choropleth map using plotly, geojso and matplotlib. But I don't know how to add the range sliders to show on the canvas and make it work and update the figure instantly. The sliders currently use 2 decimal places and 'feel' quite continuous (though they have to be discrete on some level). In the first line, we create some axes which describe where the slider will be placed. Related. Discover more on using widgets to add interactivity to your applications in the how-to guides on interactivity. ax: Axes. Slider¶. 1. Slider ウィジェットと同様に使用できます。主な違いは、RangeSlider の val 属性が単一の float ではなく float のタプルであることです。 (lower val, upper val) を使用して単一の float を制御する例については、 Slider を参照して Matplotlib Updating slider widget range. I am performing a data analysis in Python. We will explore how the Slider Widget can be used effectively in this Matplotlib tutorial with the help of several examples code. Create a slider from valmin to valmax in Axes ax. pyplot as plt import numpy as np ''' 30% window size on the selected time on slider''' data_size=round selection_range_slider = widgets. axes([0. It was really a detail but for a novice like me, it was not obvious. My function gets an array of a, b values for plotting beta distribution functions, and each value from slider should update the plot with the new a, b values. Tk): def __init__ (self I have a figure where 2 axhlines move with mouse movement. I wonder if somehow I could interact with the plot regeneration using keyboard keys to increase The final goal of the plot is to have a slider which will select the range of x-axis thus, automatically update the y-axis. series()) to use the method of Thresholding an Image with RangeSlider#. settings link Share Sign in. Each slider represents an endpoint of the range and the area between the sliders represents the The RangeSlider widget can be used similarly to the widgets. Python Matplotlib Slider is drawn but doesnt move or update. 1 this was not possible out of the box, because the matplotlib. Using the RangeSlider widget to control the thresholding of an image. 6. 15. Dat Slider¶. which Matplotlib Updating slider widget range. A slider representing a range of floating point values. Using display. These two sliders express two out of three weights that define the point. 2; Matplotlib backend: QtAgg; Installation of matplotlib via Linux package manager; Operating system. However, when I try to get those values to show up on the slider, it stops working. Parameters:# I have following candlestick plot. We have shown how to create a fake grayscale image, display it and its histogram, create a slider to adjust Ok, this gives me the value of my slider as the title of the plot. interpolate import UnivariateSpline import matplotlib. seed(19680801) N = 128 A slider representing a range of floating point values. 5, valfmt=None, closedmin=True, closedmax=True, In order to update a slider range you may set the min and max value of it directly, slider. widgets import Slider import numpy as np from PIL import Image import requests from io import BytesIO img_src = 'https://unsplash. How to remove/hide matplotlib slider values. Alternatively, learn how to set up callbacks and (JS-)links between parameters or how to use them as part of declarative UIs with Param. By integrating Jupyter widgets, you can enhance your plots with interactive elements such as sliders, buttons, and dropdowns, allowing users to manipulate data dynamically and visualize changes in real-time. draw() and, while the rest of the plot is correctly updated, the Slider looks the same as before. In the python This should be done by controlling 2 Sliders (matplotlib. Before the call-back completes, I call plt. Can we update the valmin or valmax of slider ? I have a time series data with different time ranges. Add slider to matplotlib Thresholding an Image with RangeSlider#. I got a suggestion to use the range slider feature provided by matplotlib. linspace Choose date within a range using ipywidgets Date Picker. How to make dependent sliders in matplotlib. To use the interactive feature, you must be in either zoom mode (magnifying glass toolbar button) or pan mode (4-way arrow toolbar button) and click inside the colorbar. vpn_key. You could have more than one line. Yepit helps. widgets import Slider, Button # The parametrized function to be plotted def reliability_graph (t,mu_,lambda_): return (mu_/(lambda_+mu Update Time Series date range in Colab. Windows 10. 65, 0. i'm using python3 and i can't find a answer for this in the internet. Syntax: class matplotlib. Add a Matplotlib Updating slider widget range. format_list_bulleted. Since you mentioned a slider, I suppose you want an interactive plot, that will be updated after a user will change a value of a slider. Discrete slider in matplotlib widget. Edit . Please help me. valmax: float Matplotlib Updating slider widget range. draw() as expected from running the code as a script. if I zoom in by two in x, I want to now be in the [. #Defining the Slider button ax_slide = plt. As of matplotlib 3. express slider not autoscaling ranges. append(step). obj. 8 documentation which will also extend to work with more dimensions and integrates with xarray. So when I move the slider a little bit it makes big "jumps" (say steps of 8. Adding additional sliders in matplotlib. It turned out that I found a way of doing the same thing in Jupyter, using the module ipywidgets. One option is to clear the axis and just replot the histogram. 25, val[0] should be commented in /matplotlib/widgets. How to update a histogram when a slider is used? 0. 8 documentation. How to plot two functions with two separate sliders? I can't figure out why the plot don't refresh when the slider is updated. But for the requirement of frequently change the color range to significantly displaying data, it is not convenient to use the input value method. Using a RangeSlider for Scalar arguments - Thresholding an Image#. It draws a scatter plot and a slider but as I move it around, nothing happens. I searched in the libraries, and used the FloatRangeSlider. This could be very close to what you want. The code works, but unfortunately the same chart is plotted twice. Can I decide on what leve Thresholding an Image with RangeSlider#. matplotlib - Matplotlib Updating slider widget range. matplotlib - Add sliders to a figure dynamically. search. from_records( [np. 17. Likewise, although the image seems to change fine, you are in fact allocating more and more objects all the time and drawing them on top of each other, and you could use set_data to change the image with less memory allocation. The minimum value of the slider. Hi, I want to change the k variable using the slider and plot the sin curve with matplotlib. . A slider doesn't change a value in a 3D plot. The result is that for a starting 'n' value it works but as soon as I change it, it stops working because the slider is only using integers but if you move it the function changes as if 'n' could have any value for an interval. The third weight is easily slider1 and slider2 can range between 0 and 1 independently. Runtime . widgets Button doesn't work inside a class. Matplotlib Updating slider widget range. 1, 0. Here it is the code that works very well : from matplotlib import pyplot as plt from matplotlib. Thanks in Matplotlib Updating slider widget range. The Axes to put the slider in. I want to put a slider at the bottom where it will change the range of y-axis values covered by these axhlines. In the add_slider method you should change the line self. This is substantially different from an animation. widgets. Does this example work for you (see the top-rated answer). Defines the min and max of the range via the val attribute as a tuple of (min, max). DataFrame. random. The RangeSlider widget can be used similarly to the widgets. here is code: import numpy as np import matplotlib slider not working when called from a function. Problem is that the value of the slider changes but the mouse event object does not update. The major difference is that RangeSlider's In this example, sliders are used to control the frequency and amplitude of a sine wave. Takes in every method and function of the matplotlib's slider. widgets import Slider Defining the initial function that will be fitted by the spline. I don't think that helps me. Matplotlib - change automatic axis range. valmin: float. pyplot as plt df = pd. View . Snap sliders to discrete values#. Thresholding an Image with RangeSlider#. Tools . The Slider widget presents to the user a interactable slider which can be used to select a value from a predefined range of values. I superimpose my thresholded image to the original according to a colormap. I would like to use a slider to vary the parameters. When you run that line it actually destroys the old canvas (which your slider had callbcaks hooked up to) and makes a Also, just fyi, the indentation is not correct on the for i in range(3): loop. subplots(figsize=(4, 4)) # adjust the subplots region to leave some Matplotlib Updating slider widget range. As an example see the following : As far as I see, Matplotlib doesn't directly support this kind of plot. I'm trying to use sliders for dynamically change parameters on a graph but the sliders won't # Import libraries import numpy as np import matplotlib. Autoscaling the y axis when using rangeslider in Plotly. Other ideas are in the comments. Hey I figured it out, your change was half of it (make the plot lines empty initially, plus the ax. They propose something similar to what you have done but here are the differences: from pylab import * from matplotlib. I made a simple animation slider for viewing slices of 3D images. I’ll also note that you can get the same performance as that example using mpl-interactions’ imshow function: Imshow — mpl-interactions 0. The major difference is that RangeSlider's val attribute is a tuple of floats (lower val, upper val) rather than a single float. Slider widget. import random import matplotlib import tkinter as Tk import matplotlib. Additionally it will also add the vmin and vmax parameters individually to the controls range-slider. widgets import Slider #define the plot objects #TODO #define the update method def update(val): #do your update here pass #create the slider samp = Slider(axamp, 'Amp', 0. My data is huge and when plotted, it is so messy to see. Replace the line %matplotlib inline by %matplotlib notebook and restart the Kernel. Plotly. That's what the above code does, it removes lines from the axes object ax every time you touch the Slider import os from matplotlib import pyplot as plt from matplotlib. widgets import Slider, Y-axis autoscaling with x-range sliders in plotly. Matplotlib dynamic plot with a slider. backend_tkagg import FigureCanvasTkAgg from matplotlib. 0. 8. Slider implementation used axvspan and axvline to define the slider bar (which is a patches. below is my test code. How to update artists in scrollable, matplotlib and multiplot. subplots_adjust Problem. Changing axis range with I have created this plot in pyplot which has a slider to view a certain range of the data. After some fiddling arou Thresholding an Image with RangeSlider#. lines directly after you run the code (before touching the Slider) and see that it really is a list of two lines. Call on_changed() to connect to the slider event. Python Matplotlib slider widget is not updating. The current plot is too long to see details. I have a dataframe with simple values and want to filter out some values using the slider widget. I'm using Jupiter notebook and I choose the backend with 'nbAgg' parameter. You would have found out about sliders by searching for something like "matplotlib slider". 03]) #xposition, yposition, width and height After having created the space for the slider, we now have to specify the characteristics of the button. Reply reply Is it possible to bind the scroll wheel to zoom in/out when the cursor is hovering over a matplotlib plot? Skip to main content. The code does not show any attempt to use a slider. In the current version of matplotlib. So 8 to 16 to 24). With the following code: Matplotlib Updating slider widget range. Then call ax. py", line 915, It changes only the blue poly object and the range value on the right side of the slider not the dot: oh hmm In the plot method of the Plotter class you are obtaining all the series of the plot in this way self. #Do not use wild imports import tkinter as tk import tkinter. Matplotlib - Slider Widget Matplotlib's Slider widget offers various customization options such as adjusting the appearance of the slider by specifying the range of values, setting initial values and defining step sizes. So I am trying to use X axis slider, so that, an user can slide over the x axis and visualize it easily . This range of values can be both discrete and continuous, depending on our needs. Add a vertical slider with matplotlib. Using a slider to change variable and replot Matplotlib figure. You can snap slider values to discrete values using the valstep argument. For the slider to remain responsive you must maintain a reference to it. For these, mpl_interactions treats them as a special case and offers a third argument vmin_vmax that can be used to control both vmin and vmax with a range slider. The Slider provides control over the visual properties of the plot. Scaling the y axis in matplotlib. So the slider is only Use the set_text method on the object returned by text. If you are still using an older version of matplotlib, it is I used matplotlib to create some plot, which depends on 8 variables. Bug summary The set_val() method of a range slider doesn't set the value correctly with values close to the minimal and maximal values of the range slider. Interactive adjustment of colormap range# Demonstration of how a colorbar can be used to interactively adjust the range of colormapping on an image. matplotlib. I adapted it from this post. I'd like to have a slider let me change the original input value. Change range withouth scaling in matplot. pyplot as plt import numpy as np from matplotlib. – jayveesea. Also read How to Ask. Slider in python. relim and ax. show() interact(f,n=(0,10)) I want something similar to this , the only change being x and y axis data is constant and the slider widget is used to scroll the graph left and right (x axis here) with a certain time window on the graph display I'm creating a few sliders on python using matplotlib, and a few of the sliders I need to have will have ranges that are quite small (such as a range from 10E-15 to 10E-8, etc. One small problem though, after a little sliding around it always freezes up. series()) with self. doz tqve urzomar uvth vryumr btkzoqcj vygzfrqn bhvxjng htcjun ttldg