line plot I’m trying to add a legend containing the black line. However the black line is a separate lineplot. How Do I include the black line into the existing legend or a separate legend? Answer You can to add a label to the line, via sns.lineplot(…, label=…). Note that when using bbox_to_anchor for the legend, you also need to
Tag: data-visualization
x axis label cropped on saved image
So I’m trying to do a bar plot on a data where x is the username (string ) and each x is long enough to overlap each other, so I have to rotate the x label. No problem there. However, when exporting the plot results, the x label on the exported image is cropped. I tried using plt.tight_layout() and worked,
Visualize how multiple categorical values differ across rows and columns in a dataframe
I have the following DataFrame where each column represents a categorization algorithm for the items in the index (a,b, …) I would like to reorder the category names in each column so that I can better assess whether the index items are being categorised similarly across columns. Is there a way to visualise how the categories differ across columns? Something
How do I overlay multiple sns distplots or change the colour based on a secondary variable using a pandas df
I have a pandas dataframe with a ‘frequency_mhz’ variable and a ‘type’ variable. I want to create a dist plot using seaborne that overlays all of the frequencys but changes the colour based on the ‘type’. Is there a way I can overlay the 3 into one plot? or a way ive missed to change the colour of the bars
Create Altair chart with grouped dates by week in X axis
With a dataset like this, how can I create a bar chart grouped by week so the X axis shows only two bars, april 03 – april 09 and april 11 – april 17? (Taking into account that the week starts on sundays, even tho there is no data for dates like april 04) Answer You can use the time
Altair combine two charts
I am trying to plot/combine two charts on Altair, but only one of the chart is actually showing with the expected data. The second chart doesn’t show. The second chart is blank Code below: Image below: Answer If life is referring to life expectancy, the reason you don’t see the lines is the lower facet is likely that the sum
Pyplot: Plot a 3D figure in a 2D frame?
In my current project, I want to plot a 3D shape with pyplot. This is relatively straightforward: The complication comes from the fact that I would like the figure to display in a straight 2D figure similar to this example: That is to say, remove the 3D axes and ticks, the gridlines, and wrap everything in a flat 2D border.
How to plot a horizontal Stacked bar plot using Plotly-Python?
I’m trying to plot the below summary metric plot using plotly. data So far, I’m able to plot this I’m unable to add Model Names to the plot. How add Model column as Legend and add all model values into the plot? Answer shape the data frame first df2 = df.set_index(“Model”).unstack().to_frame().reset_index() then it’s a simple case of using Plotly Express
How to change the x-axis and y-axis labels in plotly?
How can I change the x and y-axis labels in plotly because in matplotlib, I can simply use plt.xlabel but I am unable to do that in plotly. By using this code in a dataframe: I get this output: In this X and Y axis are labeled as X and Y how can I change the name of X and
Choosing how many x axis labels display on an altair chart in python
I have an altair chart where I am using mark_rectangle. I want to choose how many x axis labels are displayed to have the marks form squares in the visualization. Or perhaps I want to choose the range of the x axis labels. Right now there are far too many labels being displayed. Below I have an example of what