Seaborn: countplot() with frequencies
I have a Pandas DataFrame with a column called “AXLES”, which can take an integer value between 3-12. I am trying to use Seaborn’s countplot() option to achieve the following plot:
I have a Pandas DataFrame with a column called “AXLES”, which can take an integer value between 3-12. I am trying to use Seaborn’s countplot() option to achieve the following plot:
I am using matplotlib to render some figure in a web app. I’ve used fig.savefig() before when I’m just running scripts. However, I need a function to return an actual “.png” image so that I can call it with my HTML.
I have troubles to import the basemap module of mpl_toolkits in python. Here is what I get when I run the test.py script from the module directory:
I would like to plot only part of the array, fixing x part, but letting y part autoscale. I tried as shown below, but it does not work.
I am always bothered when I make a bar plot with pandas and I want to change the names of the labels in the legend. Consider for instance the output of this code:
I tried to use the matplotlib package via Pycharm IDE on windows 10.
when I run this code:
I am trying to create a spectrogram from a .wav file in python3.
I have dataframe total_year, which contains three columns (year, action, comedy) .
I want to create “heart rate monitor” effect from a 2D array in numpy and want the tone to reflect the values in the array.
I have a pandas dataframe with positive and negative values and want to plot it as a bar chart.