I’m trying to plot several boxplots from different dataframes in one graph. Each dataframe has a different length. What I’m doing is the folowing: However, the output of doing that is that all boxplots are ploted one over the other and it’s not possible to distinguish anything. Can you help me with this? Regards Answer You could create a new
Tag: boxplot
How to customize plotly legend order?
I want to change the ordering of legend in my boxplot from 1-12, or perhaps even renaming them to Jan, Feb, etc. Any idea how could I do it? Answer px.box is plotting your data in the order that it’s reading through your DataFrame df, so you can pass a sorted DataFrame to px.box instead: If you want the names
Multiple boxplots based on conditions
I have a dataframe with two columns. The power column represents the power consumption of the system. And the component_status column divide the data in two, based when the component is OFF or ON. When the values are 153 is when the component is ON and when the values are 150 the component is OFF. The result that I am
Get pandas boxplot in one plot and matplotlib plot in another figure
When I run the program, the two plots are plotted in one figure, but I want them in two separate figures. Answer The pandas.DataFrame.boxplot takes an ax parameter, as written in the docs. So you can use: Otherwise, you can plot in different subplots of the same figure by applying minimal changes.
How to add specific dots on a box plot created using pandas data frame?
I have a pandas data frame (df) which looks like following:enter image description here I was able to create a box plot and scatter plot separately from the given data frame using the following code: The results look like this: enter image description here I want to add the dots from the scatter plot which represent only three rows of
Changing axis ticks in Matplotlib with multiple connected Boxplots
I am plotting a convergence graph and to show deviations from the mean I am using connected boxplots: For some reason Matplotlib forces ticks for each boxplot and I cannot seem to get them removed. My code for the current plot looks something like this: I have tried multiple ways of manipulating axis ticks which are available in MPL. 1)
Boxplot with pandas
this is how looks like my dataframe: And I would like to show a Boxplot with Pandas using the AVG and the STD columns (average and standard deviation), and I don’t know how can start. For instance, I would like to compare the four methods for PART = 1, J = 3 and P = 50 through a boxplot to
Create Boxplot Grouped By Column
I have a Pandas DataFrame, df, that has a price column and a year column. I want to create a boxplot after grouping the rows based on their year. Here’s an example: So in this case, I’d want a boxplot for each of 2011, 2012, and 2013 based on their price column. I’ve looked into DataFrame.groupby but it produces a
seaborn pointplot and boxplot in one plot but shifted on the x-axis
I want to plot both a boxplot and the mean in one figure. So far my plot looks like this using these lines of code: I would like to shift my mean ‘x’ markers a bit to the right so that the errorbars don’t overlap with the whiskers from the boxplot. Any idea how to do that? A bonus question:
Plotting multiple boxplots in seaborn
I want to plot boxplots using seaborn in pandas because it is a nicer way to visualize data, but I am not too familiar with it. I have three dataframes that are different metrics, and I want to compare the different metrics. I will loop through the file paths to access them. The dfs for each of the metrics are