I have a dataset that is a list of lists. Each list is a category to be plotted as a box plot. Each list has a list of up to 9 components to be plotted into sub
I am attempting to graph battery cycling data similar to this . Each line is one cycle worth of datapoints and should be one line on the graph. At first the cod
I'm trying to superimpose an image in the back of a matplotlib plot. It is being rendered as HTML in a flask website so I am saving the plot as an image before
I am trying to implement a gaussian filter for an image with dimensions (256, 320, 4). I first generated a gaussian Kernel for the same and then individually pe
The question is how to find the eye coordinate using the multipipe library and place a marker at the left,right, top, and bottom of each of the eyes using cv2 l
Given [absolute] numbers for each of a number of variants over time, I would like to produce a plot like the following: Is there a function for this in Python
I want to create a plot that will have in the x axis the months and for each country it will show the Orders per month. Attempting to create a function that rea
I am working on image compression problem, i want to convert the images from 3 channel to 1 channle , i used tf.image.rgb_to_grayscale(img_data_array, name=None
I want to make a plot in seaborn but I am having some difficulties. The data has 2 variable: time (2 levels) and state (2 levels). I want to plot time on the x
I have a dataframe like this Time(DDHHMM) True AOG Predicted AOG 5184 28:0:0.0 4.0 4.697324 5185 28:0:5.0 10.0 0.366948 518
I want to add some modifications to my force plot (created by shap.plots.force) using Matplotlib, e.g. adding title, using tight layout etc. However, I tried to
I'm trying to insert a png image in matplotlib figure (ref) import matplotlib.pyplot as plt import numpy as np from matplotlib.figure import Figure from matplo
I have a matplotlib plot with a title in the legend and the properties of the title text I want to control, like the font family size etc. import numpy as np
# Create an axes object axes = plt.gca() # pass the axes object to plot function df.plot(kind='line', x='鄉鎮別', y='男', ax=axes,figs
I want to make some maps (each column is a date), and for some columns (aka dates) there are some missing values, and for others are not. When I used the functi
I want to make some maps (each column is a date), and for some columns (aka dates) there are some missing values, and for others are not. When I used the functi
# Create an axes object axes = plt.gca() # pass the axes object to plot function df.plot(kind='line', x='鄉鎮別', y='男', ax=axes,figs
# Create an axes object axes = plt.gca() # pass the axes object to plot function df.plot(kind='line', x='鄉鎮別', y='男', ax=axes,figs
import pandas as pd import matplotlib.pyplot as plt df = pd.read_csv("population.csv") fig, axs = plt.subplots(nrows=2, ncols=2) for col, ax in zip(df.column
I need to change the default matplotlib backend from agg to TkAgg. I have added the line backend: TkAgg to my matplotlibrc file located at ~/.config/matplotlib/