Python How To Fix Matplotlib Plotting Error Stack Overflow I'm trying to plot a simple 2d figure, but the result is totaly incorrect. with plot() looks like x is assuming two different values, and with scatter(), y and x are not "alligned". 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 Not Plotting Correctly Stack Overflow Should your plots still display unintended data, ensure that your data arrays are re initialized properly. review where your x and y variables are defined and adjusted within your code, especially in notebook cells, to avoid plotting stale data. I am trying to plot some data so get statistics about it, but matplotlib simply can't plot it as boxplots. i tried with histograms and it workd well: but when i change the code to plot boxplots it. The code is just plotting all the points on a single diagonal line, shown below, and both axises are completely out of order (you can see it clearly on the y axis). 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:.
Python Matplotlib Not Plotting Correctly Stack Overflow The code is just plotting all the points on a single diagonal line, shown below, and both axises are completely out of order (you can see it clearly on the y axis). 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:. You can try adding "plt.title ('there should be ' str (len (df ['input'])) ' dots')" and manually counting as a quick check when the number of data points is few. in r, you can add some random noise to each plotted point (and make points "hollow") to make them a bit more visible while plotting. for example: yields: but. yields:. For matplotlib, you should have "import matplotlib.pyplot as plt" and for seaborn, "import seaborn as sns". ensure that your data is in the correct format. both matplotlib and seaborn require data to be in a specific format to display correctly. On my current pc it just correctly assigns y and x axis values but actual graphic plot not appearing. also i tried some basic plotting and it works. without any style just using plt.plot () and plt.show () code for reproduction import matplotlib. pyplot as plt %matplotlib inline plt. style. use ('ggplot') plt. figure (figsize= (12, 5)). Taken from that answer why my curve fitting plot using matplotlib looks obscured? you need to sort your x 's in ascending order and then use it in plot function. please bear in mind x and y pairs should be preserved to have correctly drawn curve. see similar questions with these tags.
Comments are closed.