Menu
I want to draw this graph using matplotlib. I wrote the code but it's not changing the x axis values.
import matplotlib.pyplot as plt x = [0.00001,0.001,0.01,0.1,0.5,1,5] y = [0.945,0.885,0.893,0.9,0.996,1.25,1.19] plt.xlim(0.00001,5) plt.ylim(0.8,1.4) plt.plot(x, y, marker='o', linestyle='--', color='r', label='Square') plt.xlabel('x') plt.ylabel('y') plt.title('compare') plt.legend() plt.show() How I can draw the blue line of the given graph using matplotlib?
223
To set axes of the scatter plot, use xlim() and ylim() functions. To plot the scatter graph, use scatter() function. To set label at the x-axis, use xlabel() function. To set label at y-axis, use ylabel() function.
MatPlotLib with Python Using subplot() method, add a subplot to the current figure. Plot x and log(x) using plot() method. Set the label on X-axis using set_label() method, with fontsize=16, loc=left, and color=red. To set the xlabel at the end of X-axis, use the coordinates, x and y.
Setting axis range in matplotlib using Python. We can limit the value of modified x-axis and y-axis by using two different functions:-. set_xlim () :- For modifying x-axis range. set_ylim () :- For modifying y-axis range.
How to set X-axis values in Matplotlib Python? 1 Create two lists for x and y data points. 2 Get the xticks range value. 3 Plot a line using plot () method with xtick range value and y data points. 4 Replace xticks with X-axis value using xticks () method. 5 To display the figure, use show () method. More ...
Here, the first thing we have to do is to import two python module “ matplotlib ” and “ numpy ” by these line of codes :- Then we create a variable named “a” and set its value to plt.figure (). This creates a figure object, which is initially empty, because we haven’t inserted anything in it. Then add axes to this figure.
Let's first set the X-limit, using both the PyPlot and Axes instances. Both of these methods accept a tuple - the left and right limits. So, for example, if we wanted to truncate the view to only show the data in the range of 25-50 on the X-axis, we'd use xlim ( [25, 50]):
The scaling on your example figure is a bit strange but you can force it by plotting the index of each x-value and then setting the ticks to the data points:
import matplotlib.pyplot as plt x = [0.00001,0.001,0.01,0.1,0.5,1,5] # create an index for each tick position xi = list(range(len(x))) y = [0.945,0.885,0.893,0.9,0.996,1.25,1.19] plt.ylim(0.8,1.4) # plot the index for the x-values plt.plot(xi, y, marker='o', linestyle='--', color='r', label='Square') plt.xlabel('x') plt.ylabel('y') plt.xticks(xi, x) plt.title('compare') plt.legend() plt.show() 
172
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
