Python Pandas: Compare two CSV files and delete lines from both the file by matching a column
1
We need to delete lines from both of the files if the value of the first column is not present in the other file.
Lets consider two CSV files:
file1.csv:
yrdi_391 111 1.11 1.0 1.1 111.0
yfyrn_9132 222 2.22 2.0 2.2 222.0
kdkfke_392 999 9.99 9.0 9.9 999.0
hfeisk_3 333 3.33 3.0 3.3 333.0
file2.csv:
yrdi_391 444 4.44 4.0 4.4 444.0
yfyrn_9132 555 5.55 5.0 5.5 555.0
hfeisk_3 666 6.66 6.0 6.6 666.0
fhedn_271 888 8.88 8.0 8.8 888.0
Now, we need to delete entire line starting with kdkfke_392 from the file1.csv as it's not present therein file2.csv.
On the other hand, we need to delete the entire line starting with fhedn_271, as it's not present in file1.csv.
Expected result:
file1.csv:
yrdi_391 111 1.11 1.0 1.1 111.0
yfyrn_9132 222 2.22 2.0 2.2 222.0
hfeisk_3 333 3.33 3.0 3.3 333.0
file2.csv:
yrdi_391 444 4.44 4.0 4.4 444.0
yfyrn_9132 555 5.55 5.0 5.5 555.0
hfeisk_3 666 6.66 6.0 6.6 666.0
As of now, the lines in file1.csv and file2.csv are not sorted.
If required, we may do the sorting first and then apply the deletion.
Pandas CVS related manipulations are preferred as in both of the files we have headers and need to keep them.
Newbie in python scripting!
Any help will be highly appreciated!
python python-3.x pandas csv file-manipulation
asked Nov 13 '18 at 14:44
RandomCoderRandomCoder
395
add a comment |
1
We need to delete lines from both of the files if the value of the first column is not present in the other file.
Lets consider two CSV files:
file1.csv:
yrdi_391 111 1.11 1.0 1.1 111.0
yfyrn_9132 222 2.22 2.0 2.2 222.0
kdkfke_392 999 9.99 9.0 9.9 999.0
hfeisk_3 333 3.33 3.0 3.3 333.0
file2.csv:
yrdi_391 444 4.44 4.0 4.4 444.0
yfyrn_9132 555 5.55 5.0 5.5 555.0
hfeisk_3 666 6.66 6.0 6.6 666.0
fhedn_271 888 8.88 8.0 8.8 888.0
Now, we need to delete entire line starting with kdkfke_392 from the file1.csv as it's not present therein file2.csv.
On the other hand, we need to delete the entire line starting with fhedn_271, as it's not present in file1.csv.
Expected result:
file1.csv:
yrdi_391 111 1.11 1.0 1.1 111.0
yfyrn_9132 222 2.22 2.0 2.2 222.0
hfeisk_3 333 3.33 3.0 3.3 333.0
file2.csv:
yrdi_391 444 4.44 4.0 4.4 444.0
yfyrn_9132 555 5.55 5.0 5.5 555.0
hfeisk_3 666 6.66 6.0 6.6 666.0
As of now, the lines in file1.csv and file2.csv are not sorted.
If required, we may do the sorting first and then apply the deletion.
Pandas CVS related manipulations are preferred as in both of the files we have headers and need to keep them.
Newbie in python scripting!
Any help will be highly appreciated!
python python-3.x pandas csv file-manipulation
asked Nov 13 '18 at 14:44
RandomCoderRandomCoder
395
Read about merge in pandas..
– Rahul Agarwal
Nov 13 '18 at 14:48
@RahulAgarwal I do not want to join these files. Need to update them while keeping them separated.
– RandomCoder
Nov 13 '18 at 14:52
add a comment |
1
1
1
We need to delete lines from both of the files if the value of the first column is not present in the other file.
Lets consider two CSV files:
file1.csv:
yrdi_391 111 1.11 1.0 1.1 111.0
yfyrn_9132 222 2.22 2.0 2.2 222.0
kdkfke_392 999 9.99 9.0 9.9 999.0
hfeisk_3 333 3.33 3.0 3.3 333.0
file2.csv:
yrdi_391 444 4.44 4.0 4.4 444.0
yfyrn_9132 555 5.55 5.0 5.5 555.0
hfeisk_3 666 6.66 6.0 6.6 666.0
fhedn_271 888 8.88 8.0 8.8 888.0
Now, we need to delete entire line starting with kdkfke_392 from the file1.csv as it's not present therein file2.csv.
On the other hand, we need to delete the entire line starting with fhedn_271, as it's not present in file1.csv.
Expected result:
file1.csv:
yrdi_391 111 1.11 1.0 1.1 111.0
yfyrn_9132 222 2.22 2.0 2.2 222.0
hfeisk_3 333 3.33 3.0 3.3 333.0
file2.csv:
yrdi_391 444 4.44 4.0 4.4 444.0
yfyrn_9132 555 5.55 5.0 5.5 555.0
hfeisk_3 666 6.66 6.0 6.6 666.0
As of now, the lines in file1.csv and file2.csv are not sorted.
If required, we may do the sorting first and then apply the deletion.
Pandas CVS related manipulations are preferred as in both of the files we have headers and need to keep them.
Newbie in python scripting!
Any help will be highly appreciated!
python python-3.x pandas csv file-manipulation
asked Nov 13 '18 at 14:44
RandomCoderRandomCoder
395
We need to delete lines from both of the files if the value of the first column is not present in the other file.
Lets consider two CSV files:
file1.csv:
yrdi_391 111 1.11 1.0 1.1 111.0
yfyrn_9132 222 2.22 2.0 2.2 222.0
kdkfke_392 999 9.99 9.0 9.9 999.0
hfeisk_3 333 3.33 3.0 3.3 333.0
file2.csv:
yrdi_391 444 4.44 4.0 4.4 444.0
yfyrn_9132 555 5.55 5.0 5.5 555.0
hfeisk_3 666 6.66 6.0 6.6 666.0
fhedn_271 888 8.88 8.0 8.8 888.0
Now, we need to delete entire line starting with kdkfke_392 from the file1.csv as it's not present therein file2.csv.
On the other hand, we need to delete the entire line starting with fhedn_271, as it's not present in file1.csv.
Expected result:
file1.csv:
yrdi_391 111 1.11 1.0 1.1 111.0
yfyrn_9132 222 2.22 2.0 2.2 222.0
hfeisk_3 333 3.33 3.0 3.3 333.0
file2.csv:
yrdi_391 444 4.44 4.0 4.4 444.0
yfyrn_9132 555 5.55 5.0 5.5 555.0
hfeisk_3 666 6.66 6.0 6.6 666.0
As of now, the lines in file1.csv and file2.csv are not sorted.
If required, we may do the sorting first and then apply the deletion.
Pandas CVS related manipulations are preferred as in both of the files we have headers and need to keep them.
Newbie in python scripting!
Any help will be highly appreciated!
python python-3.x pandas csv file-manipulation
python python-3.x pandas csv file-manipulation
asked Nov 13 '18 at 14:44
RandomCoderRandomCoder
395
asked Nov 13 '18 at 14:44
RandomCoderRandomCoder
395
asked Nov 13 '18 at 14:44
RandomCoderRandomCoder
395
asked Nov 13 '18 at 14:44
RandomCoderRandomCoder
395
asked Nov 13 '18 at 14:44
RandomCoderRandomCoder
395
395
Read about merge in pandas..
– Rahul Agarwal
Nov 13 '18 at 14:48
@RahulAgarwal I do not want to join these files. Need to update them while keeping them separated.
– RandomCoder
Nov 13 '18 at 14:52
add a comment |
Read about merge in pandas..
– Rahul Agarwal
Nov 13 '18 at 14:48
@RahulAgarwal I do not want to join these files. Need to update them while keeping them separated.
– RandomCoder
Nov 13 '18 at 14:52
Read about merge in pandas..
– Rahul Agarwal
Nov 13 '18 at 14:48
Read about merge in pandas..
– Rahul Agarwal
Nov 13 '18 at 14:48
@RahulAgarwal I do not want to join these files. Need to update them while keeping them separated.
– RandomCoder
Nov 13 '18 at 14:52
@RahulAgarwal I do not want to join these files. Need to update them while keeping them separated.
– RandomCoder
Nov 13 '18 at 14:52
add a comment |
1 Answer
1
active
oldest
votes
1
You can use isin().
print (df)
0 1 2 3 4 5
0 yrdi_391 111 1.11 1.0 1.1 111.0
1 yfyrn_9132 222 2.22 2.0 2.2 222.0
2 kdkfke_392 999 9.99 9.0 9.9 999.0
3 hfeisk_3 333 3.33 3.0 3.3 333.0
print (df1)
0 1 2 3 4 5
0 yrdi_391 444 4.44 4.0 4.4 444.0
1 yfyrn_9132 555 5.55 5.0 5.5 555.0
2 hfeisk_3 666 6.66 6.0 6.6 666.0
3 fhedn_271 888 8.88 8.0 8.8 888.0
csv_df = df[df[0].isin(df1[0])]
print (csv_df)
0 1 2 3 4 5
0 yrdi_391 111 1.11 1.0 1.1 111.0
1 yfyrn_9132 222 2.22 2.0 2.2 222.0
3 hfeisk_3 333 3.33 3.0 3.3 333.0
csv_df1 = df1[df1[0].isin(df[0])]
print (csv_df1)
0 1 2 3 4 5
0 yrdi_391 444 4.44 4.0 4.4 444.0
1 yfyrn_9132 555 5.55 5.0 5.5 555.0
2 hfeisk_3 666 6.66 6.0 6.6 666.0
csv_df.to_csv('temp.csv', index=False)
csv_df1.to_csv('temp1.csv', index=False)
answered Nov 13 '18 at 15:26
AbhiAbhi
2,480320
Giving a couple of exceptions!
– RandomCoder
Nov 13 '18 at 16:04
Traceback (most recent call last): File "/python3.6/site-packages/pandas/core/indexes/base.py", line 2525, in get_loc return self._engine.get_loc(key) File "pandas/_libs/index.pyx", line 117, in pandas._libs.index.IndexEngine.get_loc File "pandas/_libs/index.pyx", line 139, in pandas._libs.index.IndexEngine.get_loc File "pandas/_libs/hashtable_class_helper.pxi", line 1265, in pandas._libs.hashtable.PyObjectHashTable.get_item File "pandas/_libs/hashtable_class_helper.pxi", line 1273, in pandas._libs.hashtable.PyObjectHashTable.get_item KeyError: 0 and another one
– RandomCoder
Nov 13 '18 at 16:16
@RandomCoder You have to use your first column name which you want to check in place of0something likedf[df[your col name].isin(df1[your col name])]
– Abhi
Nov 13 '18 at 16:27
1
It worked! Thanks!
– RandomCoder
Nov 13 '18 at 16:32
@RandomCoder Your're welcome. :)
– Abhi
Nov 13 '18 at 16:33
add a comment |
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1 Answer
1
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
1
You can use isin().
print (df)
0 1 2 3 4 5
0 yrdi_391 111 1.11 1.0 1.1 111.0
1 yfyrn_9132 222 2.22 2.0 2.2 222.0
2 kdkfke_392 999 9.99 9.0 9.9 999.0
3 hfeisk_3 333 3.33 3.0 3.3 333.0
print (df1)
0 1 2 3 4 5
0 yrdi_391 444 4.44 4.0 4.4 444.0
1 yfyrn_9132 555 5.55 5.0 5.5 555.0
2 hfeisk_3 666 6.66 6.0 6.6 666.0
3 fhedn_271 888 8.88 8.0 8.8 888.0
csv_df = df[df[0].isin(df1[0])]
print (csv_df)
0 1 2 3 4 5
0 yrdi_391 111 1.11 1.0 1.1 111.0
1 yfyrn_9132 222 2.22 2.0 2.2 222.0
3 hfeisk_3 333 3.33 3.0 3.3 333.0
csv_df1 = df1[df1[0].isin(df[0])]
print (csv_df1)
0 1 2 3 4 5
0 yrdi_391 444 4.44 4.0 4.4 444.0
1 yfyrn_9132 555 5.55 5.0 5.5 555.0
2 hfeisk_3 666 6.66 6.0 6.6 666.0
csv_df.to_csv('temp.csv', index=False)
csv_df1.to_csv('temp1.csv', index=False)
answered Nov 13 '18 at 15:26
AbhiAbhi
2,480320
Giving a couple of exceptions!
– RandomCoder
Nov 13 '18 at 16:04
Traceback (most recent call last): File "/python3.6/site-packages/pandas/core/indexes/base.py", line 2525, in get_loc return self._engine.get_loc(key) File "pandas/_libs/index.pyx", line 117, in pandas._libs.index.IndexEngine.get_loc File "pandas/_libs/index.pyx", line 139, in pandas._libs.index.IndexEngine.get_loc File "pandas/_libs/hashtable_class_helper.pxi", line 1265, in pandas._libs.hashtable.PyObjectHashTable.get_item File "pandas/_libs/hashtable_class_helper.pxi", line 1273, in pandas._libs.hashtable.PyObjectHashTable.get_item KeyError: 0 and another one
– RandomCoder
Nov 13 '18 at 16:16
@RandomCoder You have to use your first column name which you want to check in place of0something likedf[df[your col name].isin(df1[your col name])]
– Abhi
Nov 13 '18 at 16:27
1
It worked! Thanks!
– RandomCoder
Nov 13 '18 at 16:32
@RandomCoder Your're welcome. :)
– Abhi
Nov 13 '18 at 16:33
add a comment |
1
You can use isin().
print (df)
0 1 2 3 4 5
0 yrdi_391 111 1.11 1.0 1.1 111.0
1 yfyrn_9132 222 2.22 2.0 2.2 222.0
2 kdkfke_392 999 9.99 9.0 9.9 999.0
3 hfeisk_3 333 3.33 3.0 3.3 333.0
print (df1)
0 1 2 3 4 5
0 yrdi_391 444 4.44 4.0 4.4 444.0
1 yfyrn_9132 555 5.55 5.0 5.5 555.0
2 hfeisk_3 666 6.66 6.0 6.6 666.0
3 fhedn_271 888 8.88 8.0 8.8 888.0
csv_df = df[df[0].isin(df1[0])]
print (csv_df)
0 1 2 3 4 5
0 yrdi_391 111 1.11 1.0 1.1 111.0
1 yfyrn_9132 222 2.22 2.0 2.2 222.0
3 hfeisk_3 333 3.33 3.0 3.3 333.0
csv_df1 = df1[df1[0].isin(df[0])]
print (csv_df1)
0 1 2 3 4 5
0 yrdi_391 444 4.44 4.0 4.4 444.0
1 yfyrn_9132 555 5.55 5.0 5.5 555.0
2 hfeisk_3 666 6.66 6.0 6.6 666.0
csv_df.to_csv('temp.csv', index=False)
csv_df1.to_csv('temp1.csv', index=False)
answered Nov 13 '18 at 15:26
AbhiAbhi
2,480320
Giving a couple of exceptions!
– RandomCoder
Nov 13 '18 at 16:04
Traceback (most recent call last): File "/python3.6/site-packages/pandas/core/indexes/base.py", line 2525, in get_loc return self._engine.get_loc(key) File "pandas/_libs/index.pyx", line 117, in pandas._libs.index.IndexEngine.get_loc File "pandas/_libs/index.pyx", line 139, in pandas._libs.index.IndexEngine.get_loc File "pandas/_libs/hashtable_class_helper.pxi", line 1265, in pandas._libs.hashtable.PyObjectHashTable.get_item File "pandas/_libs/hashtable_class_helper.pxi", line 1273, in pandas._libs.hashtable.PyObjectHashTable.get_item KeyError: 0 and another one
– RandomCoder
Nov 13 '18 at 16:16
@RandomCoder You have to use your first column name which you want to check in place of0something likedf[df[your col name].isin(df1[your col name])]
– Abhi
Nov 13 '18 at 16:27
1
It worked! Thanks!
– RandomCoder
Nov 13 '18 at 16:32
@RandomCoder Your're welcome. :)
– Abhi
Nov 13 '18 at 16:33
add a comment |
1
1
1
You can use isin().
print (df)
0 1 2 3 4 5
0 yrdi_391 111 1.11 1.0 1.1 111.0
1 yfyrn_9132 222 2.22 2.0 2.2 222.0
2 kdkfke_392 999 9.99 9.0 9.9 999.0
3 hfeisk_3 333 3.33 3.0 3.3 333.0
print (df1)
0 1 2 3 4 5
0 yrdi_391 444 4.44 4.0 4.4 444.0
1 yfyrn_9132 555 5.55 5.0 5.5 555.0
2 hfeisk_3 666 6.66 6.0 6.6 666.0
3 fhedn_271 888 8.88 8.0 8.8 888.0
csv_df = df[df[0].isin(df1[0])]
print (csv_df)
0 1 2 3 4 5
0 yrdi_391 111 1.11 1.0 1.1 111.0
1 yfyrn_9132 222 2.22 2.0 2.2 222.0
3 hfeisk_3 333 3.33 3.0 3.3 333.0
csv_df1 = df1[df1[0].isin(df[0])]
print (csv_df1)
0 1 2 3 4 5
0 yrdi_391 444 4.44 4.0 4.4 444.0
1 yfyrn_9132 555 5.55 5.0 5.5 555.0
2 hfeisk_3 666 6.66 6.0 6.6 666.0
csv_df.to_csv('temp.csv', index=False)
csv_df1.to_csv('temp1.csv', index=False)
answered Nov 13 '18 at 15:26
AbhiAbhi
2,480320
You can use isin().
print (df)
0 1 2 3 4 5
0 yrdi_391 111 1.11 1.0 1.1 111.0
1 yfyrn_9132 222 2.22 2.0 2.2 222.0
2 kdkfke_392 999 9.99 9.0 9.9 999.0
3 hfeisk_3 333 3.33 3.0 3.3 333.0
print (df1)
0 1 2 3 4 5
0 yrdi_391 444 4.44 4.0 4.4 444.0
1 yfyrn_9132 555 5.55 5.0 5.5 555.0
2 hfeisk_3 666 6.66 6.0 6.6 666.0
3 fhedn_271 888 8.88 8.0 8.8 888.0
csv_df = df[df[0].isin(df1[0])]
print (csv_df)
0 1 2 3 4 5
0 yrdi_391 111 1.11 1.0 1.1 111.0
1 yfyrn_9132 222 2.22 2.0 2.2 222.0
3 hfeisk_3 333 3.33 3.0 3.3 333.0
csv_df1 = df1[df1[0].isin(df[0])]
print (csv_df1)
0 1 2 3 4 5
0 yrdi_391 444 4.44 4.0 4.4 444.0
1 yfyrn_9132 555 5.55 5.0 5.5 555.0
2 hfeisk_3 666 6.66 6.0 6.6 666.0
csv_df.to_csv('temp.csv', index=False)
csv_df1.to_csv('temp1.csv', index=False)
answered Nov 13 '18 at 15:26
AbhiAbhi
2,480320
edited Nov 13 '18 at 16:33
answered Nov 13 '18 at 15:26
AbhiAbhi
2,480320
answered Nov 13 '18 at 15:26
AbhiAbhi
2,480320
answered Nov 13 '18 at 15:26
AbhiAbhi
2,480320
2,480320
Giving a couple of exceptions!
– RandomCoder
Nov 13 '18 at 16:04
Traceback (most recent call last): File "/python3.6/site-packages/pandas/core/indexes/base.py", line 2525, in get_loc return self._engine.get_loc(key) File "pandas/_libs/index.pyx", line 117, in pandas._libs.index.IndexEngine.get_loc File "pandas/_libs/index.pyx", line 139, in pandas._libs.index.IndexEngine.get_loc File "pandas/_libs/hashtable_class_helper.pxi", line 1265, in pandas._libs.hashtable.PyObjectHashTable.get_item File "pandas/_libs/hashtable_class_helper.pxi", line 1273, in pandas._libs.hashtable.PyObjectHashTable.get_item KeyError: 0 and another one
– RandomCoder
Nov 13 '18 at 16:16
@RandomCoder You have to use your first column name which you want to check in place of0something likedf[df[your col name].isin(df1[your col name])]
– Abhi
Nov 13 '18 at 16:27
1
It worked! Thanks!
– RandomCoder
Nov 13 '18 at 16:32
@RandomCoder Your're welcome. :)
– Abhi
Nov 13 '18 at 16:33
add a comment |
Giving a couple of exceptions!
– RandomCoder
Nov 13 '18 at 16:04
Traceback (most recent call last): File "/python3.6/site-packages/pandas/core/indexes/base.py", line 2525, in get_loc return self._engine.get_loc(key) File "pandas/_libs/index.pyx", line 117, in pandas._libs.index.IndexEngine.get_loc File "pandas/_libs/index.pyx", line 139, in pandas._libs.index.IndexEngine.get_loc File "pandas/_libs/hashtable_class_helper.pxi", line 1265, in pandas._libs.hashtable.PyObjectHashTable.get_item File "pandas/_libs/hashtable_class_helper.pxi", line 1273, in pandas._libs.hashtable.PyObjectHashTable.get_item KeyError: 0 and another one
– RandomCoder
Nov 13 '18 at 16:16
@RandomCoder You have to use your first column name which you want to check in place of0something likedf[df[your col name].isin(df1[your col name])]
– Abhi
Nov 13 '18 at 16:27
1
It worked! Thanks!
– RandomCoder
Nov 13 '18 at 16:32
@RandomCoder Your're welcome. :)
– Abhi
Nov 13 '18 at 16:33
Giving a couple of exceptions!
– RandomCoder
Nov 13 '18 at 16:04
Giving a couple of exceptions!
– RandomCoder
Nov 13 '18 at 16:04
Traceback (most recent call last): File "/python3.6/site-packages/pandas/core/indexes/base.py", line 2525, in get_loc return self._engine.get_loc(key) File "pandas/_libs/index.pyx", line 117, in pandas._libs.index.IndexEngine.get_loc File "pandas/_libs/index.pyx", line 139, in pandas._libs.index.IndexEngine.get_loc File "pandas/_libs/hashtable_class_helper.pxi", line 1265, in pandas._libs.hashtable.PyObjectHashTable.get_item File "pandas/_libs/hashtable_class_helper.pxi", line 1273, in pandas._libs.hashtable.PyObjectHashTable.get_item KeyError: 0 and another one
– RandomCoder
Nov 13 '18 at 16:16
Traceback (most recent call last): File "/python3.6/site-packages/pandas/core/indexes/base.py", line 2525, in get_loc return self._engine.get_loc(key) File "pandas/_libs/index.pyx", line 117, in pandas._libs.index.IndexEngine.get_loc File "pandas/_libs/index.pyx", line 139, in pandas._libs.index.IndexEngine.get_loc File "pandas/_libs/hashtable_class_helper.pxi", line 1265, in pandas._libs.hashtable.PyObjectHashTable.get_item File "pandas/_libs/hashtable_class_helper.pxi", line 1273, in pandas._libs.hashtable.PyObjectHashTable.get_item KeyError: 0 and another one
– RandomCoder
Nov 13 '18 at 16:16
@RandomCoder You have to use your first column name which you want to check in place of
0 something like df[df[your col name].isin(df1[your col name])]– Abhi
Nov 13 '18 at 16:27
@RandomCoder You have to use your first column name which you want to check in place of
0 something like df[df[your col name].isin(df1[your col name])]– Abhi
Nov 13 '18 at 16:27
1
1
It worked! Thanks!
– RandomCoder
Nov 13 '18 at 16:32
It worked! Thanks!
– RandomCoder
Nov 13 '18 at 16:32
@RandomCoder Your're welcome. :)
– Abhi
Nov 13 '18 at 16:33
@RandomCoder Your're welcome. :)
– Abhi
Nov 13 '18 at 16:33
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Read about merge in pandas..
– Rahul Agarwal
Nov 13 '18 at 14:48
@RahulAgarwal I do not want to join these files. Need to update them while keeping them separated.
– RandomCoder
Nov 13 '18 at 14:52