Plotting with seaborn using the matplotlib object-oriented interface
I strongly prefer using matplotlib in OOP style:
seaborn
Python matplotlib multiple bars
How to plot multiple bars in matplotlib, when I tried to call the bar function multiple times, they overlap and as seen the below figure the highest value red can be seen only.
How can I plot the multiple bars with dates on the x-axes?
plot different color for different categorical levels using matplotlib
I have this data frame diamonds which is composed of variables like (carat, price, color), and I want to draw a scatter plot of price to carat for each color, which means different color has different color in the plot.
Color by Column Values in Matplotlib
One of my favorite aspects of using the ggplot2 library in R is the ability to easily specify aesthetics. I can quickly make a scatterplot and apply color associated with a specific column and I would love to be able to do this with python/pandas/matplotlib. I’m wondering if there are there any convenience functions that people use to map colors to values using pandas dataframes and Matplotlib?
How to add percentages on top of bars in seaborn
Given the following count plot how do I place percentages on top of the bars?
Seaborn Barplot – Displaying Values
I’m looking to see how to do two things in Seaborn with using a bar chart to display values that are in the dataframe, but not in the graph
seaborn is not plotting within defined subplots
I am trying to plot two displots side by side with this code
How can I make a barplot and a lineplot in the same seaborn plot with different Y axes nicely?
I have two different sets of data with a common index, and I want to represent the first one as a barplot and the second one as a lineplot in the same graph. My current approach is similar to the following.
Adding labels in x y scatter plot with seaborn
I’ve spent hours on trying to do what I thought was a simple task, which is to add labels onto an XY plot while using seaborn.
Plot a histogram such that bar heights sum to 1 (probability)
I’d like to plot a normalized histogram from a vector using matplotlib. I tried the following: