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Leer Deal with Several Conditions | Explore Dataset
Introduction to Python for Data Analysis
course content

Cursusinhoud

Introduction to Python for Data Analysis

Introduction to Python for Data Analysis

1. Introduction to Python 1/2
2. Introduction to Python 2/2
3. Explore Dataset
4. Becoming an Analyst

book
Deal with Several Conditions

If you want to implement several conditions, you can do this easily.

  • If you want to check dataset for the first and second condition to be True, just use & statement:

DataFrame.loc[condition1 & condition2]

  • If you want to check dataset for the first or the second condition to be True, just use | statement:

DataFrame.loc[condition1 | condition2].

question-icon

Calculate the number of users who choose the 'week' or 'year' plan. You should work with the data that titled as df.

df = df.[== 'week' df['plan']]

Click or drag`n`drop items and fill in the blanks

Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 3. Hoofdstuk 14

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course content

Cursusinhoud

Introduction to Python for Data Analysis

Introduction to Python for Data Analysis

1. Introduction to Python 1/2
2. Introduction to Python 2/2
3. Explore Dataset
4. Becoming an Analyst

book
Deal with Several Conditions

If you want to implement several conditions, you can do this easily.

  • If you want to check dataset for the first and second condition to be True, just use & statement:

DataFrame.loc[condition1 & condition2]

  • If you want to check dataset for the first or the second condition to be True, just use | statement:

DataFrame.loc[condition1 | condition2].

question-icon

Calculate the number of users who choose the 'week' or 'year' plan. You should work with the data that titled as df.

df = df.[== 'week' df['plan']]

Click or drag`n`drop items and fill in the blanks

Was alles duidelijk?

Hoe kunnen we het verbeteren?

Bedankt voor je feedback!

Sectie 3. Hoofdstuk 14
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