Tunein Radio Pro Cracked Apk Filesl [PORTABLE] ⚡

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Tunein Radio Pro Cracked Apk Filesl

Tunein Radio Pro Cracked Apk Filesl

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. TuneIn Radio Pro Cracked Apk FileslQ:

How to count the frequency of a number appearing after a specific number?

I have a data frame in which I need to filter every row that has a specific value and count the frequency of the same value appearing after a specified value.
For example, let’s say I want to count how many times a number appears starting from 4 after having 25 as a specific number, the desired output would be:
0
1
1
0
2

The following code filters the rows that have 25 and counts the frequency, but it is not quite what I want to do:
import pandas as pd
df = pd.DataFrame(data= {‘A’:[1,2,3,4,5,6,7,8,9,10],’B’:[25,26,27,28,29,30,31,32,33,34]})
df = df[df[‘B’]>25]
df[‘n’] = df.apply(lambda x: x.B.iat[(x.B>25)])

I tried using a pd.Series and this is what I came up with:
df[‘n’] = pd.Series(df.B.str.index[(df.B > 25)].astype(‘int’))

A:

Use Series.value_counts
df.B.apply(lambda x : x > 25).value_counts()

0 1
1 2
2 1
3 2
4 2
dtype: int64

Details

using df.B.apply(lambda x : x > 25) is the same as df.apply(lambda x : x > 25) as apply is just a shorthand for a function called on a series/dataframe

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