So I have a generated a Disease_Data dataframe that has 2 columns, Location and Data (see below). I wanted to generate a bar graph like below: However, when I tried the code below, things did not work and gave an error: KeyError: ‘Location’ Please help, thank you Answer Just plot the dataframe
Tag: matplotlib
Matplotlib histogram where bins are defined range of FLOATS and colored by it?
I do RMSF analysis and as a results I have list of floats (0.1, 0.3, etc.) and I would like to do a histogram where are bins of defined ranges of the floats. Then I want to have each range of float with corresponding color. I tried to do it with analogies of this script: I know that there is
How to plot the graph obtained after using solve_ivp from scipy package to solve a set of differential equations in python
I’m using solve_ivp in python to solve a set of differential equations in state-space form.My code is as follows: It shows error while using the normal plt.plot(t,X) command. How do I plot the graph between X and t? Please help Answer It’s a bit unclear what’s being calculated here, but checking solve_ivp’s documentation, it seems the return value (sol in
PyCharm Matplotlib “UserWarning: Matplotlib is currently using agg, which is a non-GUI backend, so cannot show the figure. plt.show()”
I am having problems with matplotlib.pyplot.show() function. I am using PyCharm on Linux, and i have a VirtualEnv. When i execute the file x.py in the built terminal in PyCharm (using venv) like this $ python x.py everything works fine, the function plt.show() renders and shows the plotted graph well. i did add print(matplotlib.get_backend()) to see which backend was used
Centering a background gradient color map for a pd.DataFrame Styler object
Unsure if it is possible to leverage matplotlib’s DivergingNorm for color maps under the framework of pandas Styler objects. As an example: Ideally only negative (positive) values would appear red (green). Answer It doesn’t look like there is an option to pass a custom normalization to background_gradient (maybe could be a feature request to post on pandas github). But you
matplotlib pyplot.plt.style works in Terminal, but not in SublimeText, PyCharm, or BBEdit
I’m having a lot of trouble with matplotlib, specifically pyplot.style.use(). What I have. First, some sample code, adapted from Python Crash Course 2e. When entered one line at the time on the python terminal, everything works as expected. However, when run through any of my Python editors, I get errors. In Sublime Text, the plt.style.use(‘seaborn’) is flagged and the console
Suppress scientific notation in sklearn.metrics.plot_confusion_matrix
I was trying to plot a confusion matrix nicely, so I followed scikit-learn’s newer version 0.22’s in built plot confusion matrix function. However, one value of my confusion matrix value is 153, but it appears as 1.5e+02 in the confusion matrix plot: Following the scikit-learn’s documentation, I spotted this parameter called values_format, but I do not know how to manipulate
How can I turn my DataFrame into a Radar Chart using Python?
I have a DataFrame I want to turn into a Radar Chart. The DataFrame looks like this when it’s ran… I repurposed some code I found on another Stack Overflow question pertaining to Pandas and Radar Charts and it works for the most part except I can’t get the values of Col B to align properly within the chart. Below
How to add color gradients according to y-value to a bar plot?
Suppose I have a vertical bar plot like this: MWE per this suggestion: Is there an easy way to color the bars with a colormap according to the y-values they actually span (suppose my color bar goes from 1-12 where 1 is represented by yellow and 12 is represented by dark-blue)? I have tried to adapt this example but wasn’t
decompose() for time series: ValueError: You must specify a period or x must be a pandas object with a DatetimeIndex with a freq not set to None
I have some problems executing an additive model right. I have the following data frame: And when I run this code: I got that message: ValueError: You must specify a period or x must be a pandas object with a >DatetimeIndex with a freq not set to None What should I do in order to get that example: The screen