Mixing
Panda lambda TypeError object float no len()
0
Python Pandas lambda for update column with
lambda x: np.nan if x == '0/0' else df['RatioFraction']
Filter on one column then use lambda to change conditional on np.nan for no vote (0/0).
Received
TypeError: object of type 'float' has no len()
Code:
df['RatioFraction'] = df_ff_reviews['VoteRatio'].apply(lambda x: np.nan if x == '0/0' else df['RatioFraction'])
python-3.x pandas lambda
edited Nov 22 '18 at 8:47
Mohit Motwani
1,7131522
asked Nov 22 '18 at 5:25
user1857373user1857373
316
add a comment |
0
Python Pandas lambda for update column with
lambda x: np.nan if x == '0/0' else df['RatioFraction']
Filter on one column then use lambda to change conditional on np.nan for no vote (0/0).
Received
TypeError: object of type 'float' has no len()
Code:
df['RatioFraction'] = df_ff_reviews['VoteRatio'].apply(lambda x: np.nan if x == '0/0' else df['RatioFraction'])
python-3.x pandas lambda
edited Nov 22 '18 at 8:47
Mohit Motwani
1,7131522
asked Nov 22 '18 at 5:25
user1857373user1857373
316
How do I code the apply function, e.g., apply(str.len) inside this lambda function to remove the object type no len()?
– user1857373
Nov 22 '18 at 5:28
add a comment |
0
0
0
Python Pandas lambda for update column with
lambda x: np.nan if x == '0/0' else df['RatioFraction']
Filter on one column then use lambda to change conditional on np.nan for no vote (0/0).
Received
TypeError: object of type 'float' has no len()
Code:
df['RatioFraction'] = df_ff_reviews['VoteRatio'].apply(lambda x: np.nan if x == '0/0' else df['RatioFraction'])
python-3.x pandas lambda
edited Nov 22 '18 at 8:47
Mohit Motwani
1,7131522
asked Nov 22 '18 at 5:25
user1857373user1857373
316
Python Pandas lambda for update column with
lambda x: np.nan if x == '0/0' else df['RatioFraction']
Filter on one column then use lambda to change conditional on np.nan for no vote (0/0).
Received
TypeError: object of type 'float' has no len()
Code:
df['RatioFraction'] = df_ff_reviews['VoteRatio'].apply(lambda x: np.nan if x == '0/0' else df['RatioFraction'])
python-3.x pandas lambda
python-3.x pandas lambda
edited Nov 22 '18 at 8:47
Mohit Motwani
1,7131522
asked Nov 22 '18 at 5:25
user1857373user1857373
316
edited Nov 22 '18 at 8:47
Mohit Motwani
1,7131522
asked Nov 22 '18 at 5:25
user1857373user1857373
316
edited Nov 22 '18 at 8:47
Mohit Motwani
1,7131522
edited Nov 22 '18 at 8:47
Mohit Motwani
1,7131522
edited Nov 22 '18 at 8:47
Mohit Motwani
1,7131522
1,7131522
asked Nov 22 '18 at 5:25
user1857373user1857373
316
asked Nov 22 '18 at 5:25
user1857373user1857373
316
asked Nov 22 '18 at 5:25
user1857373user1857373
316
316
How do I code the apply function, e.g., apply(str.len) inside this lambda function to remove the object type no len()?
– user1857373
Nov 22 '18 at 5:28
add a comment |
How do I code the apply function, e.g., apply(str.len) inside this lambda function to remove the object type no len()?
– user1857373
Nov 22 '18 at 5:28
How do I code the apply function, e.g., apply(str.len) inside this lambda function to remove the object type no len()?
– user1857373
Nov 22 '18 at 5:28
How do I code the apply function, e.g., apply(str.len) inside this lambda function to remove the object type no len()?
– user1857373
Nov 22 '18 at 5:28
add a comment |
2 Answers
2
active
oldest
votes
0
You can try np.where:
df['RatioFraction'] = np.where(df['VoteRatio'] == '0/0', np.nan, df['VoteRation'])
answered Nov 22 '18 at 6:20
Mohit MotwaniMohit Motwani
1,7131522
add a comment |
1
Try this:
df['RatioFraction'] = df_ff_reviews['VoteRatio']
df['RatioFraction'].loc[df['RatioFraction'] == '0/0'] = np.nan
answered Nov 22 '18 at 5:32
AResemAResem
1114
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
0
You can try np.where:
df['RatioFraction'] = np.where(df['VoteRatio'] == '0/0', np.nan, df['VoteRation'])
answered Nov 22 '18 at 6:20
Mohit MotwaniMohit Motwani
1,7131522
add a comment |
0
You can try np.where:
df['RatioFraction'] = np.where(df['VoteRatio'] == '0/0', np.nan, df['VoteRation'])
answered Nov 22 '18 at 6:20
Mohit MotwaniMohit Motwani
1,7131522
add a comment |
0
0
0
You can try np.where:
df['RatioFraction'] = np.where(df['VoteRatio'] == '0/0', np.nan, df['VoteRation'])
answered Nov 22 '18 at 6:20
Mohit MotwaniMohit Motwani
1,7131522
You can try np.where:
df['RatioFraction'] = np.where(df['VoteRatio'] == '0/0', np.nan, df['VoteRation'])
answered Nov 22 '18 at 6:20
Mohit MotwaniMohit Motwani
1,7131522
answered Nov 22 '18 at 6:20
Mohit MotwaniMohit Motwani
1,7131522
answered Nov 22 '18 at 6:20
Mohit MotwaniMohit Motwani
1,7131522
answered Nov 22 '18 at 6:20
Mohit MotwaniMohit Motwani
1,7131522
1,7131522
add a comment |
add a comment |
1
Try this:
df['RatioFraction'] = df_ff_reviews['VoteRatio']
df['RatioFraction'].loc[df['RatioFraction'] == '0/0'] = np.nan
answered Nov 22 '18 at 5:32
AResemAResem
1114
add a comment |
1
Try this:
df['RatioFraction'] = df_ff_reviews['VoteRatio']
df['RatioFraction'].loc[df['RatioFraction'] == '0/0'] = np.nan
answered Nov 22 '18 at 5:32
AResemAResem
1114
add a comment |
1
1
1
Try this:
df['RatioFraction'] = df_ff_reviews['VoteRatio']
df['RatioFraction'].loc[df['RatioFraction'] == '0/0'] = np.nan
answered Nov 22 '18 at 5:32
AResemAResem
1114
Try this:
df['RatioFraction'] = df_ff_reviews['VoteRatio']
df['RatioFraction'].loc[df['RatioFraction'] == '0/0'] = np.nan
answered Nov 22 '18 at 5:32
AResemAResem
1114
answered Nov 22 '18 at 5:32
AResemAResem
1114
answered Nov 22 '18 at 5:32
AResemAResem
1114
answered Nov 22 '18 at 5:32
AResemAResem
1114
1114
add a comment |
add a comment |
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How do I code the apply function, e.g., apply(str.len) inside this lambda function to remove the object type no len()?
– user1857373
Nov 22 '18 at 5:28