I have time series data and want to see total number of Septic (1) and Non-septic (0) patients in the SepsisLabel column. The Non-septic patients don’t have entries of ‘1’. While the Septic patients have first ‘Zeros (0)’ then it changes to ‘1’ means it now becomes septic. The data looks like this: HR SBP DBP SepsisLabel Gender P_ID 92
Tag: bar-chart
Plotly: How to manually assign bar colors to categorical lables in go.bar()
I have a bar plot, with three bars that I am constructing from a dictionary. I am trying to map the individual bars to specific colors, based on the barname, not the value of the bar. I have been trying to find an answer for this for quite some time but am only finding answers related to mapping colors to
Add ONLY the total values on top of stacked bars in matplotlib
I am working with the following bar plot: And I would like to add only the total amount of each index on top of the bars, like this: However, when I use the following code, I only get parts of the stacks of each bar. I have tried with different varieties of ax.bar_label(ax.containers[0],fontsize=9) but none displays the total of the
How to make bar plot with varying widths and multiple values for each variable name in Python?
My question stems from the solution provided here. In my code below, I would like to automatically take the list of variable names, x, and assign one colour for each variable from a colour map (e.g. using get_cmap). I would also only like each variable to appear once in the legend. In this example, the variables B & H have
How to visualize categorical frequency difference
Data: Diabetes dataset found here: https://raw.githubusercontent.com/LahiruTjay/Machine-Learning-With-Python/master/datasets/diabetes.csv Objective: I want to examine how many people under the Age of 30 have diabetes, which is indicated by a 1 or 0 in the “Outcome” column of the dataset and plot it to see if there is a class imbalance (more of 1 or more of 2 or roughly equal?) Method: Filter my
How to create grouped and stacked bars
I have a very huge dataset with a lot of subsidiaries serving three customer groups in various countries, something like this (in reality there are much more subsidiaries and dates): I’d like to make an analysis per subsidiary by producing a stacked bar chart. To do this, I started by defining the x-axis to be the unique months and by
Problem with plotting two lists with different sizes using matplotlib
I’m extremely new to matplotlib and I’m trying to create a discord bot in python that simply logs the server activity and displays it as a line graph based on what time the server is most active (msgs per 10sec / time of day). The problem is, the number of messages is different from the amount of seconds in a
How to make multiple plots with seaborn from a wide dataframe
I’m currently learning about data visualization using seaborn, and I came across a problem that I couldn’t find a solution to. So I have this data index col1 col2 col3 col4 col5 col6 col7 col8 1990 0 4 7 3 7 0 6 6 1991 1 7 5 0 8 1 8 4 1992 0 5 0 1 9 1
How to change color for only one bar using pyplot?
Currently the color of the bar are the same. How can I change the color of the bar with the highest value? Answer Try: Output:
How can I change the values on the x-axis of my bar plot? [closed]
Closed. This question needs debugging details. It is not currently accepting answers. Edit the question to include desired behavior, a specific problem or error, and the shortest code necessary to reproduce the problem. This will help others answer the question. Closed 1 year ago. Improve this question I have the following dataframe which produces the following plot: How can I