Pandas: counter increasing each time conditions are met

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2
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I have a dataframe with some conditions and a Counter that Counts when condition A is met.

 date                      condition        count   

    01,01,2018 08:00             A               1

    01,01,2018 08:01             A               2

    01,01,2018 08:03             A               3

    01,01,2018 08:04             B               0

    01,01,2018 08:07             B               0

    01,01,2018 08:10             B               0

    01,01,2018 08:13             B               0

    01,01,2018 08:22             A               1

    01,01,2018 08:24             A               2

    01,01,2018 08:25             B               0

    01,01,2018 08:27             B               0

    01,01,2018 08:29             B               0

    01,01,2018 08:30             A               1

I would like that the Count doesn't reset each time condition changes.

date                      condition        count   

01,01,2018 08:00             A               1

01,01,2018 08:01             A               2

01,01,2018 08:03             A               3

01,01,2018 08:04             B               3

01,01,2018 08:07             B               3

01,01,2018 08:10             B               3

01,01,2018 08:13             B               3

01,01,2018 08:22             A               4

01,01,2018 08:24             A               5

01,01,2018 08:25             B               5

01,01,2018 08:27             B               5

01,01,2018 08:29             B               5

01,01,2018 08:30             A               6

At the Moment the code for the Count Looks like:

df['count']= df.groupby((df['condition'] = 'A').cumsum()).cumcount()

Thanks!

asked Nov 19 at 17:02

Luca91

1518

add a comment |

up vote
2
down vote

favorite

I have a dataframe with some conditions and a Counter that Counts when condition A is met.

 date                      condition        count   

    01,01,2018 08:00             A               1

    01,01,2018 08:01             A               2

    01,01,2018 08:03             A               3

    01,01,2018 08:04             B               0

    01,01,2018 08:07             B               0

    01,01,2018 08:10             B               0

    01,01,2018 08:13             B               0

    01,01,2018 08:22             A               1

    01,01,2018 08:24             A               2

    01,01,2018 08:25             B               0

    01,01,2018 08:27             B               0

    01,01,2018 08:29             B               0

    01,01,2018 08:30             A               1

I would like that the Count doesn't reset each time condition changes.

date                      condition        count   

01,01,2018 08:00             A               1

01,01,2018 08:01             A               2

01,01,2018 08:03             A               3

01,01,2018 08:04             B               3

01,01,2018 08:07             B               3

01,01,2018 08:10             B               3

01,01,2018 08:13             B               3

01,01,2018 08:22             A               4

01,01,2018 08:24             A               5

01,01,2018 08:25             B               5

01,01,2018 08:27             B               5

01,01,2018 08:29             B               5

01,01,2018 08:30             A               6

At the Moment the code for the Count Looks like:

df['count']= df.groupby((df['condition'] = 'A').cumsum()).cumcount()

Thanks!

asked Nov 19 at 17:02

Luca91

1518

add a comment |

up vote
2
down vote

favorite

I have a dataframe with some conditions and a Counter that Counts when condition A is met.

 date                      condition        count   

    01,01,2018 08:00             A               1

    01,01,2018 08:01             A               2

    01,01,2018 08:03             A               3

    01,01,2018 08:04             B               0

    01,01,2018 08:07             B               0

    01,01,2018 08:10             B               0

    01,01,2018 08:13             B               0

    01,01,2018 08:22             A               1

    01,01,2018 08:24             A               2

    01,01,2018 08:25             B               0

    01,01,2018 08:27             B               0

    01,01,2018 08:29             B               0

    01,01,2018 08:30             A               1

I would like that the Count doesn't reset each time condition changes.

date                      condition        count   

01,01,2018 08:00             A               1

01,01,2018 08:01             A               2

01,01,2018 08:03             A               3

01,01,2018 08:04             B               3

01,01,2018 08:07             B               3

01,01,2018 08:10             B               3

01,01,2018 08:13             B               3

01,01,2018 08:22             A               4

01,01,2018 08:24             A               5

01,01,2018 08:25             B               5

01,01,2018 08:27             B               5

01,01,2018 08:29             B               5

01,01,2018 08:30             A               6

At the Moment the code for the Count Looks like:

df['count']= df.groupby((df['condition'] = 'A').cumsum()).cumcount()

Thanks!

asked Nov 19 at 17:02

Luca91

1518

I have a dataframe with some conditions and a Counter that Counts when condition A is met.

 date                      condition        count   

    01,01,2018 08:00             A               1

    01,01,2018 08:01             A               2

    01,01,2018 08:03             A               3

    01,01,2018 08:04             B               0

    01,01,2018 08:07             B               0

    01,01,2018 08:10             B               0

    01,01,2018 08:13             B               0

    01,01,2018 08:22             A               1

    01,01,2018 08:24             A               2

    01,01,2018 08:25             B               0

    01,01,2018 08:27             B               0

    01,01,2018 08:29             B               0

    01,01,2018 08:30             A               1

I would like that the Count doesn't reset each time condition changes.

date                      condition        count   

01,01,2018 08:00             A               1

01,01,2018 08:01             A               2

01,01,2018 08:03             A               3

01,01,2018 08:04             B               3

01,01,2018 08:07             B               3

01,01,2018 08:10             B               3

01,01,2018 08:13             B               3

01,01,2018 08:22             A               4

01,01,2018 08:24             A               5

01,01,2018 08:25             B               5

01,01,2018 08:27             B               5

01,01,2018 08:29             B               5

01,01,2018 08:30             A               6

At the Moment the code for the Count Looks like:

df['count']= df.groupby((df['condition'] = 'A').cumsum()).cumcount()

Thanks!

python pandas

asked Nov 19 at 17:02

Luca91

1518

asked Nov 19 at 17:02

Luca91

1518

asked Nov 19 at 17:02

Luca91

1518

asked Nov 19 at 17:02

Luca91

1518

asked Nov 19 at 17:02

Luca91

1518

add a comment |

2 Answers
2

active

oldest

votes

up vote
4
down vote

accepted

Why not

df['count']=df['condition'].eq('A').cumsum()

answered Nov 19 at 17:09

W-B

94.2k72857

what if I have 2 conditions but I want to restart the Count each time are both met?? at the Moment I am trying df['count']= df.groupby(((df.condition1<50)&(df.condition2 < 10)).cumsum()).cumcount()+1 but it doesn't work, it simply start counting from the beginning to the end ignoring the conditions...can you help me with this please?
– Luca91
Nov 20 at 8:46

add a comment |

up vote
1
down vote

I think groupby.cumsum is what you're looking for

df['count']= df.groupby((df['Date']['condition']).cumsum())

and then later subset the df based on required condition.

answered Nov 19 at 17:21

Ken Dekalb

14811

add a comment |

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2 Answers
2

active

oldest

votes

2 Answers
2

active

oldest

votes

up vote
4
down vote

accepted

Why not

df['count']=df['condition'].eq('A').cumsum()

answered Nov 19 at 17:09

W-B

94.2k72857

what if I have 2 conditions but I want to restart the Count each time are both met?? at the Moment I am trying df['count']= df.groupby(((df.condition1<50)&(df.condition2 < 10)).cumsum()).cumcount()+1 but it doesn't work, it simply start counting from the beginning to the end ignoring the conditions...can you help me with this please?
– Luca91
Nov 20 at 8:46

add a comment |

up vote
4
down vote

accepted

Why not

df['count']=df['condition'].eq('A').cumsum()

answered Nov 19 at 17:09

W-B

94.2k72857

what if I have 2 conditions but I want to restart the Count each time are both met?? at the Moment I am trying df['count']= df.groupby(((df.condition1<50)&(df.condition2 < 10)).cumsum()).cumcount()+1 but it doesn't work, it simply start counting from the beginning to the end ignoring the conditions...can you help me with this please?
– Luca91
Nov 20 at 8:46

add a comment |

up vote
4
down vote

accepted

Why not

df['count']=df['condition'].eq('A').cumsum()

answered Nov 19 at 17:09

W-B

94.2k72857

Why not

df['count']=df['condition'].eq('A').cumsum()

answered Nov 19 at 17:09

W-B

94.2k72857

answered Nov 19 at 17:09

W-B

94.2k72857

answered Nov 19 at 17:09

W-B

94.2k72857

answered Nov 19 at 17:09

W-B

94.2k72857

what if I have 2 conditions but I want to restart the Count each time are both met?? at the Moment I am trying df['count']= df.groupby(((df.condition1<50)&(df.condition2 < 10)).cumsum()).cumcount()+1 but it doesn't work, it simply start counting from the beginning to the end ignoring the conditions...can you help me with this please?
– Luca91
Nov 20 at 8:46

add a comment |

what if I have 2 conditions but I want to restart the Count each time are both met?? at the Moment I am trying df['count']= df.groupby(((df.condition1<50)&(df.condition2 < 10)).cumsum()).cumcount()+1 but it doesn't work, it simply start counting from the beginning to the end ignoring the conditions...can you help me with this please?
– Luca91
Nov 20 at 8:46

what if I have 2 conditions but I want to restart the Count each time are both met?? at the Moment I am trying df['count']= df.groupby(((df.condition1<50)&(df.condition2 < 10)).cumsum()).cumcount()+1 but it doesn't work, it simply start counting from the beginning to the end ignoring the conditions...can you help me with this please?
– Luca91
Nov 20 at 8:46

add a comment |

up vote
1
down vote

I think groupby.cumsum is what you're looking for

df['count']= df.groupby((df['Date']['condition']).cumsum())

and then later subset the df based on required condition.

answered Nov 19 at 17:21

Ken Dekalb

14811

add a comment |

up vote
1
down vote

I think groupby.cumsum is what you're looking for

df['count']= df.groupby((df['Date']['condition']).cumsum())

and then later subset the df based on required condition.

answered Nov 19 at 17:21

Ken Dekalb

14811

add a comment |

up vote
1
down vote

I think groupby.cumsum is what you're looking for

df['count']= df.groupby((df['Date']['condition']).cumsum())

and then later subset the df based on required condition.

answered Nov 19 at 17:21

Ken Dekalb

14811

I think groupby.cumsum is what you're looking for

df['count']= df.groupby((df['Date']['condition']).cumsum())

and then later subset the df based on required condition.

answered Nov 19 at 17:21

Ken Dekalb

14811

answered Nov 19 at 17:21

Ken Dekalb

14811

answered Nov 19 at 17:21

Ken Dekalb

14811

answered Nov 19 at 17:21

Ken Dekalb

14811

add a comment |

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