Python Matplotlib Plots Messed Up Stack Overflow

Python How To Fix Matplotlib Plotting Error Stack Overflow You can turn the boxes on and off explicitly with plt.box('off') plt.box('on'). for the legend you can pass the argument frameon = true false. edit: try the following: find your rcparams file (matplotlib.matplotlib fname()). paste the following lines into it: axes.facecolor:white axes.edgecolor:black legend.frameon: true rerun your script. The original stack overflow question highlights a common matplotlib problem: data points not appearing on the plot due to axis scaling issues. the initial code attempts to set custom x tick labels using values far outside the data range, causing the plot to appear empty.

Python Matplotlib Plots Messed Up Stack Overflow Strings are not ordered by matplotlib, hence the weird y axis. try converting your data to floats. you can either do it number by number as you read in the data, or all at the end with a list comprehension. . alternatively, check out the pandas library and their read csv function. With code below i try to plot point and line: import matplotlib.pyplot as plt fig, ax = plt.subplots(figsize=(10, 10)) ax.set xlabel('x coordinate', fontsize=15) ax.set ylabel('y coordinate', fontsize=15) plt.plot(point, label='point') plt.plot(linestring, label='linestring') plt.legend() plt.show() but the result is unexpected:. Discover the effective methods to manage and resolve plotting issues in matplotlib, ensuring clarity and the desired outcome for your visualizations. The following demo code of my is producing a plot with the wrong x axis value. import matplotlib.pyplot as plt x = [1.0, 1.0, 1.0, 1.0, 1.0, 0.9999390392587174, 1.0000609607412827, 1.0000609607412.

Python Matplotlib Plots Messed Up Stack Overflow Discover the effective methods to manage and resolve plotting issues in matplotlib, ensuring clarity and the desired outcome for your visualizations. The following demo code of my is producing a plot with the wrong x axis value. import matplotlib.pyplot as plt x = [1.0, 1.0, 1.0, 1.0, 1.0, 0.9999390392587174, 1.0000609607412827, 1.0000609607412. I write this in ipython import matplotlib.pyplot as plt plt.plot(x,y) plt.show() and it gived me this check this i mean, according to the x y list, it should a increasing curve. so, can someone can assist? i will appreciate if you give any advice:). I am trying to plot some non linear graphs (x vs x raised to some power). however, the output on y axis gets messed up once i reach x^5 or greator. i have tried increasing the plot size and manually setting y limits but to no avail. i have written the following code. plt.subplot(3,3,i) plt.plot(x, x**i, alpha=0.5) plt.title(f'x^{i}'). Here is the code for drawing a diagram with matplotlib with the xtest, ytest and y pred data. %matplotlib inline import matplotlib.pyplot as plt plt.scatter(xtest, ytest, color='black') plt.plot(xtest, y pred, color='blue', linewidth=1) plt.xlabel("value") plt.ylabel("overall") plt.show() but when i try the code my diagram look like this instead. I've got an issue when trying to plot two temporal series with matplotlib. the temporal series should share the same y axis scale since it's supposed to be a comparison on modeled and measured values.