I have a problem with use if and else statement in convolution function. this code return error: use any() or all() how to can i use condition in convolve? I hope you always good luck. thanks. Answer The name function is called with a numpy array as the parameter. “Is the array less than 300?” isn’t meaningful. Are all the
Tag: matplotlib
Drawing using matplotlib in pysimplegui
How can i clean up previous drawing before drawing again with matplotlib in PySimpleGui? I wanted to draw a bar chart which i could be able to draw but not able to delete using the following code: Are there any functions that i can call to clean up any previous drawings? Can someone please helpme with it, i was looking
matplotlib: reduce empty space on axis
The following code (obtained from here): Gives me this: What I’m trying to do is reduce the empty space on the y-axis, indicated here by the red bars: How can I do this? Changing the height of the figure doesn’t seem to help. Answer One quick solution is to manually set the margins using
How to increase the size of only one plot in subplots?
If you have two subplots, how do you change the length of only the second plot? Adding figsize=(7,5) to plt.subplots changes the size of both plots, but hoping to change only the size of the 2nd one. source code: https://www.w3schools.com/python/matplotlib_subplot.asp There are no errors, but how do you adjust the size of only the 2nd plot but keeping the placement
Matching plot line colour with the name of the division
I have been trying to plot mean of ‘Sales’ for 7 divisions (blue, green, grey, orange, purple, red, yellow) for each response month. Here is a code snippet: graph image How can I ensure that colour of plot line for each division matches the name of the division i.e. ‘blue’ colour plotline for blue division, ‘yellow’ colour plotline for yellow
Plotting multiple dataframes in one chart
In the following code, in each iteration a dataframe is read from a dictionary and is plotted. My intention is see all plots in one chart, but I see multiple charts in separate windows. I see some tutorials about that, e.g. here, but it seems that they work when I want to call df.plot() with different columns. Here in my
Difference between ‘data’ and ‘axes fraction’ in matplotlib?
What does xycoords=(‘data’,’axes fraction’) mean? I have read https://matplotlib.org/stable/tutorials/text/annotations.html and it says that ‘data’ uses the axes data coordinate system, what does this mean? According to https://matplotlib.org/stable/tutorials/advanced/transforms_tutorial.html ‘data’ is the coordinate system of the data in the Axes; (0, 0) is bottom left of the axes, and (1, 1) is top right of the axes. https://matplotlib.org/stable/tutorials/text/annotations.html says ‘axes fraction’ is
python use argparse for passing optional arguments for plotting
I would like to pass optional arguments to a matplotlib script running from the command line. I have the following: However, currently I am not able to do so. Is there any way to pass under the optional arguments other parameters to the plot functions? Set colors, markers, etc.. ? Best Regards Answer If you will run as then you
Compare two dataframe columns on a histogram
I have a dataframe that looks similar to: I am required to give a visual comparison of true and estimated distances. My actual df shape is: How do I show true_distance side-by-side estimated_distance on a plot, where one can easily see the difference in each row, considering the side of my df_actual? Answer Here are some ways to do it.
minimizing pixel non-uniformity in binary images
I am creating binary images (i.e., with only black and white and no other colors) of different shapes using matplotlib and PIL libraries. I have constraints on the number of pixels as 64×64, and the image has to be binary. At this low pixel range, I am getting pixelated images as shown below. I am searching for an approach where