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data frame replace contents of a row
Replacements for switch statement in Python?How to replace a character by a newline in VimHow to replace all occurrences of a string in JavaScriptHow to join (merge) data frames (inner, outer, left, right)R - list to data frameDrop data frame columns by nameR: losing column names when adding rows to an empty data frameCreate an empty data.frameHow to iterate over rows in a DataFrame in Pandas?Select rows from a DataFrame based on values in a column in pandas
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I've created a data frame named dataframe_tweets. It contain a heading 'text' with the text of the tweet. The tweets where searched and saved into this data frame. All search terms are saved in a list called artist_name_no_duplicate. I want to create a new column called Artist_Mentioned which is the contains the name of the artist contained within artist_name_no_duplicate which is mentioned in that row in the text column. I've tried .contains, .replace, changing it into an array but to no avail.
Change the list into an array so we can search and replace using replace function:
import numpy as np**:
myarray = np.asarray(artist_name_no_duplicate)
i = 30
artist_name = myarray[i]
print(artist_name)
Create new column:
dataframe_tweets['Artist_Mentioned'] = dataframe_tweets['text']
Filter new column so it just contains the artist name which is mentioned:
dataframe_tweets.loc[dataframe_tweets['Artist_Mentioned'].str.contains('myarray[i]'), 'Artist_Mentioned'] = myarray[i]
Print data frame:
dataframe_tweets
Currently it's working but only searching for the actual text 'myarray[i]'
but I want it to search the string contained in the i'th position of the array called myarray
.Any help is greatly appreciated!
python dataframe replace
add a comment |
I've created a data frame named dataframe_tweets. It contain a heading 'text' with the text of the tweet. The tweets where searched and saved into this data frame. All search terms are saved in a list called artist_name_no_duplicate. I want to create a new column called Artist_Mentioned which is the contains the name of the artist contained within artist_name_no_duplicate which is mentioned in that row in the text column. I've tried .contains, .replace, changing it into an array but to no avail.
Change the list into an array so we can search and replace using replace function:
import numpy as np**:
myarray = np.asarray(artist_name_no_duplicate)
i = 30
artist_name = myarray[i]
print(artist_name)
Create new column:
dataframe_tweets['Artist_Mentioned'] = dataframe_tweets['text']
Filter new column so it just contains the artist name which is mentioned:
dataframe_tweets.loc[dataframe_tweets['Artist_Mentioned'].str.contains('myarray[i]'), 'Artist_Mentioned'] = myarray[i]
Print data frame:
dataframe_tweets
Currently it's working but only searching for the actual text 'myarray[i]'
but I want it to search the string contained in the i'th position of the array called myarray
.Any help is greatly appreciated!
python dataframe replace
This is a python 3.0 question
– Robert Blake
Mar 24 at 16:19
add a comment |
I've created a data frame named dataframe_tweets. It contain a heading 'text' with the text of the tweet. The tweets where searched and saved into this data frame. All search terms are saved in a list called artist_name_no_duplicate. I want to create a new column called Artist_Mentioned which is the contains the name of the artist contained within artist_name_no_duplicate which is mentioned in that row in the text column. I've tried .contains, .replace, changing it into an array but to no avail.
Change the list into an array so we can search and replace using replace function:
import numpy as np**:
myarray = np.asarray(artist_name_no_duplicate)
i = 30
artist_name = myarray[i]
print(artist_name)
Create new column:
dataframe_tweets['Artist_Mentioned'] = dataframe_tweets['text']
Filter new column so it just contains the artist name which is mentioned:
dataframe_tweets.loc[dataframe_tweets['Artist_Mentioned'].str.contains('myarray[i]'), 'Artist_Mentioned'] = myarray[i]
Print data frame:
dataframe_tweets
Currently it's working but only searching for the actual text 'myarray[i]'
but I want it to search the string contained in the i'th position of the array called myarray
.Any help is greatly appreciated!
python dataframe replace
I've created a data frame named dataframe_tweets. It contain a heading 'text' with the text of the tweet. The tweets where searched and saved into this data frame. All search terms are saved in a list called artist_name_no_duplicate. I want to create a new column called Artist_Mentioned which is the contains the name of the artist contained within artist_name_no_duplicate which is mentioned in that row in the text column. I've tried .contains, .replace, changing it into an array but to no avail.
Change the list into an array so we can search and replace using replace function:
import numpy as np**:
myarray = np.asarray(artist_name_no_duplicate)
i = 30
artist_name = myarray[i]
print(artist_name)
Create new column:
dataframe_tweets['Artist_Mentioned'] = dataframe_tweets['text']
Filter new column so it just contains the artist name which is mentioned:
dataframe_tweets.loc[dataframe_tweets['Artist_Mentioned'].str.contains('myarray[i]'), 'Artist_Mentioned'] = myarray[i]
Print data frame:
dataframe_tweets
Currently it's working but only searching for the actual text 'myarray[i]'
but I want it to search the string contained in the i'th position of the array called myarray
.Any help is greatly appreciated!
python dataframe replace
python dataframe replace
edited Mar 24 at 15:19
amanb
2,6412826
2,6412826
asked Mar 24 at 14:41
Robert BlakeRobert Blake
11
11
This is a python 3.0 question
– Robert Blake
Mar 24 at 16:19
add a comment |
This is a python 3.0 question
– Robert Blake
Mar 24 at 16:19
This is a python 3.0 question
– Robert Blake
Mar 24 at 16:19
This is a python 3.0 question
– Robert Blake
Mar 24 at 16:19
add a comment |
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This is a python 3.0 question
– Robert Blake
Mar 24 at 16:19