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compare pandas dataframes with different lengths
The 2019 Stack Overflow Developer Survey Results Are InWhere in the workflow should we deal with missing data?pandas dataframes memoryPlotting different values in pandas histogram with different colorsCreate a new column based on two columns from two different dataframesConcatenate dataframes PandasCombine Pandas DataFrames with year columnsSpearmanr on two pandas dataframesPrediction based on more dataframesPandas: How can I merge two dataframes?Joining two dataframes on the basis of specific conditions
$begingroup$
I have two dataframes of different lengths and I need to add a column to the first one with filtered values, e.g.
df1 = pd.DataFrame('Object':['cup', 'brick', 'board', 'stone'], 'id':[2, 8, 9, 6])
df1 = pd.DataFrame('Thing':['cup', 'board'], 'color':['blue', 'grey'])
and I want to create
df = pd.DataFrame('Thing':['cup', 'board'], 'color':['blue', 'grey'], 'id':[2, 9])
All methods I tried to use complained about different lengths.
pandas
asked Mar 30 at 8:25
Grw KřemílekGrw Křemílek
13
$endgroup$
add a comment |
$begingroup$
I have two dataframes of different lengths and I need to add a column to the first one with filtered values, e.g.
df1 = pd.DataFrame('Object':['cup', 'brick', 'board', 'stone'], 'id':[2, 8, 9, 6])
df1 = pd.DataFrame('Thing':['cup', 'board'], 'color':['blue', 'grey'])
and I want to create
df = pd.DataFrame('Thing':['cup', 'board'], 'color':['blue', 'grey'], 'id':[2, 9])
All methods I tried to use complained about different lengths.
pandas
asked Mar 30 at 8:25
Grw KřemílekGrw Křemílek
13
$endgroup$
add a comment |
$begingroup$
I have two dataframes of different lengths and I need to add a column to the first one with filtered values, e.g.
df1 = pd.DataFrame('Object':['cup', 'brick', 'board', 'stone'], 'id':[2, 8, 9, 6])
df1 = pd.DataFrame('Thing':['cup', 'board'], 'color':['blue', 'grey'])
and I want to create
df = pd.DataFrame('Thing':['cup', 'board'], 'color':['blue', 'grey'], 'id':[2, 9])
All methods I tried to use complained about different lengths.
pandas
asked Mar 30 at 8:25
Grw KřemílekGrw Křemílek
13
$endgroup$
I have two dataframes of different lengths and I need to add a column to the first one with filtered values, e.g.
df1 = pd.DataFrame('Object':['cup', 'brick', 'board', 'stone'], 'id':[2, 8, 9, 6])
df1 = pd.DataFrame('Thing':['cup', 'board'], 'color':['blue', 'grey'])
and I want to create
df = pd.DataFrame('Thing':['cup', 'board'], 'color':['blue', 'grey'], 'id':[2, 9])
All methods I tried to use complained about different lengths.
pandas
pandas
asked Mar 30 at 8:25
Grw KřemílekGrw Křemílek
13
asked Mar 30 at 8:25
Grw KřemílekGrw Křemílek
13
edited Mar 30 at 11:06
Grw Křemílek
asked Mar 30 at 8:25
Grw KřemílekGrw Křemílek
13
asked Mar 30 at 8:25
Grw KřemílekGrw Křemílek
13
asked Mar 30 at 8:25
Grw KřemílekGrw Křemílek
13
13
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
$begingroup$
You can accomplish your task by using the merge operation in pandas as follows:
In [16]: df1 = pd.DataFrame('Object':['cup', 'brick', 'board', 'stone'], 'id':[2, 8, 9, 6])
In [17]: df1
Out[17]:
Object id
0 cup 2
1 brick 8
2 board 9
3 stone 6
In [18]: df2 = pd.DataFrame('Thing':['cup', 'board'], 'color':['blue', 'grey'])
In [19]: df2
Out[19]:
Thing color
0 cup blue
1 board grey
In [20]: df = df2.merge(df1, left_on='Thing',right_on='Object', how='inner')
In [21]: df
Out[21]:
Thing color Object id
0 cup blue cup 2
1 board grey board 9
and then drop the column (df.drop('Object', inplace=True)) that you don't need. For more details look at the official documentation here. Also, check out this to see how you can use merge and join operations in pandas to do all kinds of dataframe manipulations!
answered Mar 30 at 8:46
bkshibkshi
758212
$endgroup$
$begingroup$
that did it, thank you
$endgroup$
– Grw Křemílek
Mar 30 at 11:16
$begingroup$
You may select it as the answer if your problem is solved.
$endgroup$
– bkshi
Mar 30 at 11:43
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
$begingroup$
You can accomplish your task by using the merge operation in pandas as follows:
In [16]: df1 = pd.DataFrame('Object':['cup', 'brick', 'board', 'stone'], 'id':[2, 8, 9, 6])
In [17]: df1
Out[17]:
Object id
0 cup 2
1 brick 8
2 board 9
3 stone 6
In [18]: df2 = pd.DataFrame('Thing':['cup', 'board'], 'color':['blue', 'grey'])
In [19]: df2
Out[19]:
Thing color
0 cup blue
1 board grey
In [20]: df = df2.merge(df1, left_on='Thing',right_on='Object', how='inner')
In [21]: df
Out[21]:
Thing color Object id
0 cup blue cup 2
1 board grey board 9
and then drop the column (df.drop('Object', inplace=True)) that you don't need. For more details look at the official documentation here. Also, check out this to see how you can use merge and join operations in pandas to do all kinds of dataframe manipulations!
answered Mar 30 at 8:46
bkshibkshi
758212
$endgroup$
$begingroup$
that did it, thank you
$endgroup$
– Grw Křemílek
Mar 30 at 11:16
$begingroup$
You may select it as the answer if your problem is solved.
$endgroup$
– bkshi
Mar 30 at 11:43
add a comment |
$begingroup$
You can accomplish your task by using the merge operation in pandas as follows:
In [16]: df1 = pd.DataFrame('Object':['cup', 'brick', 'board', 'stone'], 'id':[2, 8, 9, 6])
In [17]: df1
Out[17]:
Object id
0 cup 2
1 brick 8
2 board 9
3 stone 6
In [18]: df2 = pd.DataFrame('Thing':['cup', 'board'], 'color':['blue', 'grey'])
In [19]: df2
Out[19]:
Thing color
0 cup blue
1 board grey
In [20]: df = df2.merge(df1, left_on='Thing',right_on='Object', how='inner')
In [21]: df
Out[21]:
Thing color Object id
0 cup blue cup 2
1 board grey board 9
and then drop the column (df.drop('Object', inplace=True)) that you don't need. For more details look at the official documentation here. Also, check out this to see how you can use merge and join operations in pandas to do all kinds of dataframe manipulations!
answered Mar 30 at 8:46
bkshibkshi
758212
$endgroup$
$begingroup$
that did it, thank you
$endgroup$
– Grw Křemílek
Mar 30 at 11:16
$begingroup$
You may select it as the answer if your problem is solved.
$endgroup$
– bkshi
Mar 30 at 11:43
add a comment |
$begingroup$
You can accomplish your task by using the merge operation in pandas as follows:
In [16]: df1 = pd.DataFrame('Object':['cup', 'brick', 'board', 'stone'], 'id':[2, 8, 9, 6])
In [17]: df1
Out[17]:
Object id
0 cup 2
1 brick 8
2 board 9
3 stone 6
In [18]: df2 = pd.DataFrame('Thing':['cup', 'board'], 'color':['blue', 'grey'])
In [19]: df2
Out[19]:
Thing color
0 cup blue
1 board grey
In [20]: df = df2.merge(df1, left_on='Thing',right_on='Object', how='inner')
In [21]: df
Out[21]:
Thing color Object id
0 cup blue cup 2
1 board grey board 9
and then drop the column (df.drop('Object', inplace=True)) that you don't need. For more details look at the official documentation here. Also, check out this to see how you can use merge and join operations in pandas to do all kinds of dataframe manipulations!
answered Mar 30 at 8:46
bkshibkshi
758212
$endgroup$
You can accomplish your task by using the merge operation in pandas as follows:
In [16]: df1 = pd.DataFrame('Object':['cup', 'brick', 'board', 'stone'], 'id':[2, 8, 9, 6])
In [17]: df1
Out[17]:
Object id
0 cup 2
1 brick 8
2 board 9
3 stone 6
In [18]: df2 = pd.DataFrame('Thing':['cup', 'board'], 'color':['blue', 'grey'])
In [19]: df2
Out[19]:
Thing color
0 cup blue
1 board grey
In [20]: df = df2.merge(df1, left_on='Thing',right_on='Object', how='inner')
In [21]: df
Out[21]:
Thing color Object id
0 cup blue cup 2
1 board grey board 9
and then drop the column (df.drop('Object', inplace=True)) that you don't need. For more details look at the official documentation here. Also, check out this to see how you can use merge and join operations in pandas to do all kinds of dataframe manipulations!
answered Mar 30 at 8:46
bkshibkshi
758212
answered Mar 30 at 8:46
bkshibkshi
758212
answered Mar 30 at 8:46
bkshibkshi
758212
answered Mar 30 at 8:46
bkshibkshi
758212
758212
$begingroup$
that did it, thank you
$endgroup$
– Grw Křemílek
Mar 30 at 11:16
$begingroup$
You may select it as the answer if your problem is solved.
$endgroup$
– bkshi
Mar 30 at 11:43
add a comment |
$begingroup$
that did it, thank you
$endgroup$
– Grw Křemílek
Mar 30 at 11:16
$begingroup$
You may select it as the answer if your problem is solved.
$endgroup$
– bkshi
Mar 30 at 11:43
$begingroup$
that did it, thank you
$endgroup$
– Grw Křemílek
Mar 30 at 11:16
$begingroup$
that did it, thank you
$endgroup$
– Grw Křemílek
Mar 30 at 11:16
$begingroup$
You may select it as the answer if your problem is solved.
$endgroup$
– bkshi
Mar 30 at 11:43
$begingroup$
You may select it as the answer if your problem is solved.
$endgroup$
– bkshi
Mar 30 at 11:43
add a comment |
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