I used the seaborn.regplot to plot data, but not quite understand how the error bar in regplot was calculated. I have compared the results with the mean and standard deviation derived from mannual calculation. Here is my testing script. You can see the y and e from the two ways are different. I understand that the default x_ci or x_estimator
Tag: seaborn
Bar chart plotting issue: TypeError: ‘AxesSubplot’ object is not iterable
Below shown is the categorical data detail for the bar chart, which is from a specific DataFrame column i.e. coast Shown below syntax is the defined function used, to get the bar chart. However, the bar chart does appears without the values on the bar which is shown below. But the below error message appears How could I resolve the
How to get the label values on a bar chat with seaborn on a categorical data
Shown below is the syntax used to get the bar char for a categorical data on seaborn How can I get the value count on the bar chart shown below. How to get the percentage value on the bar chart shown below. Answer Maybe this will work for you: Results:
Sns Scatter plot with differet color coding and different markers
I would like to create a Seaborn scatter-plot, using the following dataframe: In my graph A should be the x-variable and B the y-variable. Furthermore I would like to color based on column D. Finally, when C=’y’ the marker should be open-faced (no facecolor) and when C=’n’ the marker should have a closed. My original idea was to use the
How to provide axis for seaborn clustermap
I want to provide the plot axes for a seaborn clustermap. The docs say that additional arguments are passed to the heatmap function. The docs of the heatmap function mention the keyword argument ax. Which is why I call the clustermap function with the keyword argmument ax=plt.gca(). However this will result in the following error: Thus I was wondering how
how to make histogram for multivariate data in python seaborn?
I have a following data I would like to have a histogram like the following but I could not do it using python. Can anyone please help me how to do it in python? Group Summer Winter Autumn Spring bacteria 20 30 40 20 virus 30 50 20 20 fungi 50 20 40 60 Answer You can transform the dataframe
This single line “import seaborn as sns” dumps a dataframe to standard out?
This is literally the only command I’m running: When I run that single line of code the computer prints out a dataframe from a previous program: As well as an error It’s like it’s running another script on the computer that I wrote. I’ve rebooted my computer multiple times. Powered off and unplugged it for a while… etc. The same
Python Seaborn: how to plot all columns and use index as hue?
I have a dataframe that looks like this: index 9 1 8 3 7 6 2 5 0 4 0 32941 3545 2829 2423 1945 1834 1213 1205 1096 969 1 24352 2738 2666 2432 1388 7937 682 3539 2705 1561 2 2137 1271 2401 540 3906 1446 3432 24855 1885 8127 I want to use barplot to plot these
How to plot a wide dataframe with colors and linestyles based on different columns
Here’s a dataframe of mine: Output: I need to plot val1 and val2 over time, in different colors (say green and red). There are also two classes A and B, and I’d like to plot the two classes in different line types (solid and dashed). So if class is A, then val1 might be solid green in the plot, and
How to plot a column value with its index as axis
I have a data frame df: In reality, I have 50 rows in the data frame. To make it simple I am representing it here with only 3 rows. I am interested in illustrating the correlation between ColumnA and ColumnB that is given in df[‘correlation’]. What would be the best possible way to do so? One of the choices may