Sep 13, 2020 · I would like to add number of observations (nobs) to a horizontal box plot in seaborn - ideally above the whiskers and if not possible next to the median values. An alternative to either of these positions is OK also, but least preferable.

Boxplot is an amazing way to study distributions. It can sometimes be useful to display the number of observations for each group since such information is kept hidden by default. In the following example, we start from a simple boxplot and add annotations to it. To do so we: eventually, we add labels to our figure.

Jan 4, 2023 · I want to create a bar graph that identifies the number of observations (n) for each bar in my plot. I have a data frame that looks like this: I have successfully created a bar plot with the following code and output: I want to add the n value for each bar inside of each bar.

If you need to plot plain numeric data as Matplotlib date format or need to set a timezone, call ax.xaxis.axis_date / ax.yaxis.axis_date before plot. See Axis.axis_date. Old, outdated answer: You must first convert your timestamps to Python datetime objects (use datetime.strptime). Then use date2num to convert the dates to matplotlib format.

This post explains how to display the number of observation per group on a barplot. Just use the text() function of matplotlib to add the label one by one in a loop.

How to explore the temporal structure of time series with line plots, lag plots, and autocorrelation plots. How to understand the distribution of observations using histograms and density plots. How to tease out the change in distribution over intervals using …

6 days ago · Plotly’s px (standing for ‘Plotly Express’) and graph_objects components provide built-in support for efficient and intuitive plotting, and a fine-grained API for low-level customization, respectively. We will explore both, but first, we load and prepare the time series data to visualize, including a more convenient renaming of key columns.

seaborn components used: set_theme(), load_dataset(), boxplot(), stripplot(), despine()

Apr 17, 2023 · In this tutorial, we'll explore how to create and customize time series line plots in matplotlib, a primary Python plotting library. First, we'll import the necessary Python libraries and load the data – a Kaggle dataset Daily Exchange Rates per Euro 1999-2023. We'll also perform some basic data cleaning: df = df[df[col] != '-']

Jun 22, 2023 · We use the `plot()` function to plot each time series, specifying the x-axis as the index of the DataFrame and the y-axis as the column containing the data for each product. We also add labels for the x- and y-axes, a title for the graph, …