5 practical Pandas tips to share

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Catalogue

Pandas Tip 1-condition selection of rows

Pandas Tip 2-data Storage

Pandas Tip 3-packet data

Pandas skills 4-Pandas map

Conditional formatting of Pandas skill 5-Pandas DataFrame

Pandas Tip 1-condition selection of rows

First of all, data exploration is a necessary step. Pandas provides a quick and simple method for all kinds of analysis. One of the most important techniques is to select rows or filter data based on criteria.

The conditional selection of rows can be based on a single condition or multiple conditions in a single statement separated by logical operators.

For example, I use a dataset about loan forecasts.

We will select a row of clients who have not yet graduated and earn less than £5400. Let's see what we can do.

Video: https://youtu.be/hc4or_RF5M8

Import pandas as pd data = pd.read_csv ('.. / Data/loan_train.csv') data.head () data2 = data.loc [(data ['Education'] = =' Not Graduate') & (data ['ApplicantIncome'] 80 else' black' return 'color:% s'% color formatting = data.iloc [: 1:6] .style.applymap (highlight_green) formatting here, I believe you have a better understanding of the "five practical Pandas tips sharing" You might as well do it in practice. Here is the website, more related content can enter the relevant channels to inquire, follow us, continue to learn!