Plotting each row in a pandas DataFrame as a bar with seaborn
Given such a dataframe,
Could not interpret value ` ` for parameter `hue`
I am trying to color a scatterplot by a categorical column. Here is a sample data, the column I want to color the scatterplot by is ‘cat’.
Using map_dataframe in a FacetGrid
Thanks in advance for your help with my query. I would like to generate 4 heatmaps, the specialty is the row and colnum indicates the column in the facetgrid. Each heatmap should reflect the specialty and associated colnum. The final heatmap is called finalheatdf. I have more columns passed to sns.FacetGrid than I want for map_dataframe (Site on y axis and [‘0-2′,’11-12′,’3-4′,’5-6’] on the x axis). I am receiving an error ValueError: could not convert string to float: ‘X1’. My code is listed below
Using map_dataframe in a FacetGrid
Thanks in advance for your help with my query. I would like to generate 4 heatmaps, the specialty is the row and colnum indicates the column in the facetgrid. Each heatmap should reflect the specialty and associated colnum. The final heatmap is called finalheatdf. I have more columns passed to sns.FacetGrid than I want for map_dataframe (Site on y axis and [‘0-2′,’11-12′,’3-4′,’5-6’] on the x axis). I am receiving an error ValueError: could not convert string to float: ‘X1’. My code is listed below
Handling Infinite Values in Seaborn
I’m trying to plot a pairplot
of my dataset using Seaborn, but I’m encountering an error related to infinite values. Here is the code I’m using:
how to make FacetGrid barplots strictly follow the dataframe?
I’ve created a summarized dataframe of my data, and ordered on two levels.