Mixing
Filling missing values in a dataframe based on first valid non-null column
2
I'm trying to fill the null values in the first column in a pandas dataframe with the first non-null column value in each row and can't seem to get this to work
here's an example
dfr = pd.DataFrame({'a':[np.nan, np.nan, 3, np.nan, np.nan], 'b':[4, np.nan, np.nan, 7, np.nan], 'c':[4, 5, 6, 7, np.nan], 'd':[3, 1, 3, 9, 12]})
#This is what my original data frame looks like
dfr
Out[107]:
a b c d
0 NaN 4.0 4.0 3
1 NaN NaN 5.0 1
2 3.0 NaN 6.0 3
3 NaN 7.0 7.0 9
4 NaN NaN NaN 12
#Here's what I would like the output to look like
dfr
Out[107]:
a b c d
0 4.0 4.0 4.0 3
1 5.0 NaN 5.0 1
2 3.0 NaN 6.0 3
3 7.0 7.0 7.0 9
4 12 NaN NaN 12
pandas
asked Jan 1 at 22:03
jay queuejay queue
315
add a comment |
2
I'm trying to fill the null values in the first column in a pandas dataframe with the first non-null column value in each row and can't seem to get this to work
here's an example
dfr = pd.DataFrame({'a':[np.nan, np.nan, 3, np.nan, np.nan], 'b':[4, np.nan, np.nan, 7, np.nan], 'c':[4, 5, 6, 7, np.nan], 'd':[3, 1, 3, 9, 12]})
#This is what my original data frame looks like
dfr
Out[107]:
a b c d
0 NaN 4.0 4.0 3
1 NaN NaN 5.0 1
2 3.0 NaN 6.0 3
3 NaN 7.0 7.0 9
4 NaN NaN NaN 12
#Here's what I would like the output to look like
dfr
Out[107]:
a b c d
0 4.0 4.0 4.0 3
1 5.0 NaN 5.0 1
2 3.0 NaN 6.0 3
3 7.0 7.0 7.0 9
4 12 NaN NaN 12
pandas
asked Jan 1 at 22:03
jay queuejay queue
315
add a comment |
2
2
2
I'm trying to fill the null values in the first column in a pandas dataframe with the first non-null column value in each row and can't seem to get this to work
here's an example
dfr = pd.DataFrame({'a':[np.nan, np.nan, 3, np.nan, np.nan], 'b':[4, np.nan, np.nan, 7, np.nan], 'c':[4, 5, 6, 7, np.nan], 'd':[3, 1, 3, 9, 12]})
#This is what my original data frame looks like
dfr
Out[107]:
a b c d
0 NaN 4.0 4.0 3
1 NaN NaN 5.0 1
2 3.0 NaN 6.0 3
3 NaN 7.0 7.0 9
4 NaN NaN NaN 12
#Here's what I would like the output to look like
dfr
Out[107]:
a b c d
0 4.0 4.0 4.0 3
1 5.0 NaN 5.0 1
2 3.0 NaN 6.0 3
3 7.0 7.0 7.0 9
4 12 NaN NaN 12
pandas
asked Jan 1 at 22:03
jay queuejay queue
315
I'm trying to fill the null values in the first column in a pandas dataframe with the first non-null column value in each row and can't seem to get this to work
here's an example
dfr = pd.DataFrame({'a':[np.nan, np.nan, 3, np.nan, np.nan], 'b':[4, np.nan, np.nan, 7, np.nan], 'c':[4, 5, 6, 7, np.nan], 'd':[3, 1, 3, 9, 12]})
#This is what my original data frame looks like
dfr
Out[107]:
a b c d
0 NaN 4.0 4.0 3
1 NaN NaN 5.0 1
2 3.0 NaN 6.0 3
3 NaN 7.0 7.0 9
4 NaN NaN NaN 12
#Here's what I would like the output to look like
dfr
Out[107]:
a b c d
0 4.0 4.0 4.0 3
1 5.0 NaN 5.0 1
2 3.0 NaN 6.0 3
3 7.0 7.0 7.0 9
4 12 NaN NaN 12
pandas
pandas
asked Jan 1 at 22:03
jay queuejay queue
315
asked Jan 1 at 22:03
jay queuejay queue
315
asked Jan 1 at 22:03
jay queuejay queue
315
asked Jan 1 at 22:03
jay queuejay queue
315
asked Jan 1 at 22:03
jay queuejay queue
315
315
add a comment |
add a comment |
1 Answer
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0
Check bfill
dfr.a=dfr.bfill(1).a
dfr
a b c d
0 4.0 4.0 4.0 3
1 5.0 NaN 5.0 1
2 3.0 NaN 6.0 3
3 7.0 7.0 7.0 9
4 12.0 NaN NaN 12
answered Jan 1 at 22:11
Wen-BenWen-Ben
117k83369
add a comment |
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1 Answer
1
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oldest
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
0
Check bfill
dfr.a=dfr.bfill(1).a
dfr
a b c d
0 4.0 4.0 4.0 3
1 5.0 NaN 5.0 1
2 3.0 NaN 6.0 3
3 7.0 7.0 7.0 9
4 12.0 NaN NaN 12
answered Jan 1 at 22:11
Wen-BenWen-Ben
117k83369
add a comment |
0
Check bfill
dfr.a=dfr.bfill(1).a
dfr
a b c d
0 4.0 4.0 4.0 3
1 5.0 NaN 5.0 1
2 3.0 NaN 6.0 3
3 7.0 7.0 7.0 9
4 12.0 NaN NaN 12
answered Jan 1 at 22:11
Wen-BenWen-Ben
117k83369
add a comment |
0
0
0
Check bfill
dfr.a=dfr.bfill(1).a
dfr
a b c d
0 4.0 4.0 4.0 3
1 5.0 NaN 5.0 1
2 3.0 NaN 6.0 3
3 7.0 7.0 7.0 9
4 12.0 NaN NaN 12
answered Jan 1 at 22:11
Wen-BenWen-Ben
117k83369
Check bfill
dfr.a=dfr.bfill(1).a
dfr
a b c d
0 4.0 4.0 4.0 3
1 5.0 NaN 5.0 1
2 3.0 NaN 6.0 3
3 7.0 7.0 7.0 9
4 12.0 NaN NaN 12
answered Jan 1 at 22:11
Wen-BenWen-Ben
117k83369
answered Jan 1 at 22:11
Wen-BenWen-Ben
117k83369
answered Jan 1 at 22:11
Wen-BenWen-Ben
117k83369
answered Jan 1 at 22:11
Wen-BenWen-Ben
117k83369
117k83369
add a comment |
add a comment |
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