kandi X-RAY | seaborn-data Summary
kandi X-RAY | seaborn-data Summary
Data repository for [seaborn] examples. This repository exists only to provide a convenient target for the seaborn.load_dataset function to download sample datasets from. Its existence makes it easy to document seaborn without confusing things by spending time loading and munging data. The datasets may change or be removed at any time if they are no longer useful for the seaborn documentation. Some of the datasets have also been modifed from their canonical sources.
Top functions reviewed by kandi - BETA
- The main function of the sampler
- Return True if passenger is a child of male .
seaborn-data Key Features
seaborn-data Examples and Code Snippets
Trending Discussions on seaborn-data
In R and tidy verse, there is a way to use ifelse() such that I can change several of the observations in a variable but then I can leave other observations that I don't want changed as they are but just setting else to that column (so in the example below, "Virginica and "Versicolor" would remain the same. Can't figure out how to do that in pandas.
iris = pd.read_csv('https://raw.githubusercontent.com/mwaskom/seaborn-data/master/iris.csv')
Minimal reproducible example:...
ANSWERAnswered 2021-Oct-28 at 18:31
Why can't I chain the get_dummies() function?...
ANSWERAnswered 2021-Sep-07 at 14:17
You can't chain the
pd.get_dummies() method since it is not a
pd.DataFrame method. However, assuming -
- You have a single column left after you drop your columns in the previous step in the chain.
- Your column is a string column dtype.
... you can use
pd.Series.str.get_dummies() which is a series level method.
I am working with this code for a long time to solve my problem and cannot find a solution for this. Using Selenium, I have first logged on to the site and doing scraping. But its returning 0 values, which is not expected....
ANSWERAnswered 2021-Aug-28 at 16:11
If you have "Login successful" then you need to replace:
I think I've found a bug in the class plotly.graph_objects.box Marker, because the property outliercolor is not working. I followed the reference in https://plotly.github.io/plotly.py-docs/generated/plotly.graph_objects.Box.html#plotly.graph_objects.box.Marker.outliercolor, but it wont make any difference to change the outliers color.
Here is an example:...
ANSWERAnswered 2021-Jul-12 at 01:13
This does indeed appear to be a bug in Plotly - this can be submitted as a bug report to the Plotly team.
It is worth noting that modifying
boxpoints = "outliers" to
boxpoints = "suspectedoutliers" produces markers with a different color so
suspectedoutliers behaves as expected. However, you can't use
suspectedoutliers in place of
outliers as suspected outliers are only a subset of all outliers.
You can achieve the desired behavior by plotting the outliers manually. To do this, you would still set
boxpoints=outliers, but then plot the outliers as individual scatter points with the desired color over the outliers generated by Plotly.
The first thing to note is that calculating Q1 and Q3 differs between different Python libraries: Plotly outlines their methods in the documentation, explaining that they use Method #10 in this short paper to calculate percentiles.
In Python, the function to calculate percentiles using Method #10 (linear interpolation) looks like this:
- round data by my defined function like below.
df.age.map(float_round), it returns
ValueError: cannot convert float NaN to integer.
I don't want to split data into null data and changed the not null data and then merge it. But using one function to achieve it....
ANSWERAnswered 2021-Jun-20 at 00:32
What is a good way to create statistical annotations in plotly bar graphs? And how can I move the p-value in the figure below to the middle, i.e. between the two bar charts?
ANSWERAnswered 2020-Dec-18 at 19:54
Here's a solution using absolute text positioning (not zoomable).
I have a Dask.Series with a categorical dtype that is known. I want to create a little dataframe which shows the associated mapping without having to compute the entire series. How do I achieve this?...
ANSWERAnswered 2020-Nov-16 at 19:09
How about the following:
I am trying to include a variable in the last step of a feed-forward NN in Keras. I seem to only be able to get it working when I include 2 columns, instead of only one. Here's my code example:
First I prepare my main input datasets:...
ANSWERAnswered 2020-Sep-29 at 09:48
you simply have to specify correctly the input shape. In the case of 2D data, you need to pass only the feature dim. The sample dimension is not required. You simply need to correct the input into:
I have a Pandas pipeline and would like to use either
mean function based on a boolean variable.
I came out with the following solution:...
ANSWERAnswered 2020-Jun-11 at 12:46
lambda and it seems to work fine:
I'm receiving the error: InvalidURL: URL can't contain control characters. '/mwaskom/seaborn-data/master/" when I try to plot a scatter plot with Seaborn
Seaborn imported fine, without any errors. As did my dataset. While I feel the error doesn't have to do with my code, here's my code for the scatterplot, just in case....
ANSWERAnswered 2020-May-01 at 14:53
I'm glad you included your code!
sns.load_dataset() gets data from the web.
You don't need that here.
So simply do this:
No vulnerabilities reported
You can use seaborn-data like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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