I am trying to get a grouped boxplot working using Seaborn as per the example
I can get the above example working, however the line:
tips = sns.load_dataset("tips")
is not explained at all. I have located the tips.csv file, but I can’t seem to find adequate documentation on what load_dataset specifically does. I tried to create my own csv and load this, but to no avail. I also renamed the tips file and it still worked…
My question is thus:
load_dataset actually looking for files? Can I actually use this for my own boxplots?
EDIT: I managed to get my own boxplots working using my own
DataFrame, but I am still wondering whether
load_dataset is used for anything more than mysterious tutorial examples.
load_dataset looks for online csv files on https://github.com/mwaskom/seaborn-data. Here’s the docstring:
Load a dataset from the online repository (requires internet).
name : str
Name of the dataset (
https://github.com/mwaskom/seaborn-data). You can obtain list of
available datasets using :func:
kws : dict, optional
Passed to pandas.read_csv
If you want to modify that online dataset or bring in your own data, you likely have to use pandas.
load_dataset actually returns a pandas
DataFrame object, which you can confirm with
If you already created your own data in a csv file called, say, tips2.csv, and saved it in the same location as your script, use this (after installing pandas) to load it in:
import pandas as pd tips2 = pd.read_csv('tips2.csv')
Just to add to ‘selwyth’s’ answer.
import pandas as pd Data=pd.read_csv('Pathtocsv') Data.head(10)
Once you have completed these steps successfully.
Now the plotting actually works like this.
Let’s say you want to plot a bar plot.
sns.barplot(x=Data.Year,y=Data.Salary) //year and salary attributes were present in my dataset.
This actually works with every plotting in seaborn.
Moreover, we will not be eligible to add our own dataset on Seaborn Git.
Extract the zip file to a local directory and launch your jupyter notebook from the same directory.
Run the following commands in jupyter notebook:
import pandas as pd tips = pd.read_csv('seaborn-data-master/tips.csv')
you’re good to work with your example now!