How to use a function attribute as python object as well as string
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Basically my code looks like this surrounded by some logging:
df_name.to_sql('df_name', engine, index=False)
What I would like to do is to wrap it into a function and use df_name twice:
def df_2_sql(df):
df.to_sql(f'df', engine, index=False)
df_list = [df_table_a, df_table_b, df_table_c]
for df in df_list:
df_2_sql(df)
...I've expected f'df' to work, but it sadly doesn't. I want to use df_list as as pandas objects as well as part of the table name in the to_sql() function.
I've already tried to use two lists
df_list = [df_table_a, df_table_b, df_table_c]
df_list = ['df_table_a', 'df_table_b', 'df_table_c']
..and a function which expects two arguments, but it doesn't feel right or smart. What am I doing wrong?
python python-3.x pandas
edited Nov 15 '18 at 14:40
jpp
103k2167117
asked Nov 15 '18 at 13:47
ChristianChristian
649
add a comment |
Basically my code looks like this surrounded by some logging:
df_name.to_sql('df_name', engine, index=False)
What I would like to do is to wrap it into a function and use df_name twice:
def df_2_sql(df):
df.to_sql(f'df', engine, index=False)
df_list = [df_table_a, df_table_b, df_table_c]
for df in df_list:
df_2_sql(df)
...I've expected f'df' to work, but it sadly doesn't. I want to use df_list as as pandas objects as well as part of the table name in the to_sql() function.
I've already tried to use two lists
df_list = [df_table_a, df_table_b, df_table_c]
df_list = ['df_table_a', 'df_table_b', 'df_table_c']
..and a function which expects two arguments, but it doesn't feel right or smart. What am I doing wrong?
python python-3.x pandas
edited Nov 15 '18 at 14:40
jpp
103k2167117
asked Nov 15 '18 at 13:47
ChristianChristian
649
You may find this useful.
– Shayn
Nov 15 '18 at 15:31
add a comment |
Basically my code looks like this surrounded by some logging:
df_name.to_sql('df_name', engine, index=False)
What I would like to do is to wrap it into a function and use df_name twice:
def df_2_sql(df):
df.to_sql(f'df', engine, index=False)
df_list = [df_table_a, df_table_b, df_table_c]
for df in df_list:
df_2_sql(df)
...I've expected f'df' to work, but it sadly doesn't. I want to use df_list as as pandas objects as well as part of the table name in the to_sql() function.
I've already tried to use two lists
df_list = [df_table_a, df_table_b, df_table_c]
df_list = ['df_table_a', 'df_table_b', 'df_table_c']
..and a function which expects two arguments, but it doesn't feel right or smart. What am I doing wrong?
python python-3.x pandas
edited Nov 15 '18 at 14:40
jpp
103k2167117
asked Nov 15 '18 at 13:47
ChristianChristian
649
Basically my code looks like this surrounded by some logging:
df_name.to_sql('df_name', engine, index=False)
What I would like to do is to wrap it into a function and use df_name twice:
def df_2_sql(df):
df.to_sql(f'df', engine, index=False)
df_list = [df_table_a, df_table_b, df_table_c]
for df in df_list:
df_2_sql(df)
...I've expected f'df' to work, but it sadly doesn't. I want to use df_list as as pandas objects as well as part of the table name in the to_sql() function.
I've already tried to use two lists
df_list = [df_table_a, df_table_b, df_table_c]
df_list = ['df_table_a', 'df_table_b', 'df_table_c']
..and a function which expects two arguments, but it doesn't feel right or smart. What am I doing wrong?
python python-3.x pandas
python python-3.x pandas
edited Nov 15 '18 at 14:40
jpp
103k2167117
asked Nov 15 '18 at 13:47
ChristianChristian
649
edited Nov 15 '18 at 14:40
jpp
103k2167117
asked Nov 15 '18 at 13:47
ChristianChristian
649
edited Nov 15 '18 at 14:40
jpp
103k2167117
edited Nov 15 '18 at 14:40
jpp
103k2167117
edited Nov 15 '18 at 14:40
jpp
103k2167117
103k2167117
asked Nov 15 '18 at 13:47
ChristianChristian
649
asked Nov 15 '18 at 13:47
ChristianChristian
649
asked Nov 15 '18 at 13:47
ChristianChristian
649
649
You may find this useful.
– Shayn
Nov 15 '18 at 15:31
add a comment |
You may find this useful.
– Shayn
Nov 15 '18 at 15:31
You may find this useful.
– Shayn
Nov 15 '18 at 15:31
You may find this useful.
– Shayn
Nov 15 '18 at 15:31
add a comment |
1 Answer
1
active
oldest
votes
Use a dictionary
It's not a good idea to convert variable names to strings. If you need this functionality, construct a dictionary and feed key-value pairs to your function:
def df_2_sql(df, name):
df.to_sql(name, engine, index=False)
df_dict = 'df_table_a': df_table_a,
'df_table_b': df_table_b,
'df_table_c': df_table_c
for name, df in df_dict.items():
df_2_sql(df, name)
If this seems verbose and inefficient, note you must have defined df_table_a, df_table_b, etc earlier in your code somewhere. Just use a dictionary from the very beginning and assign to df_dict['df_table_a'], df_dict['df_table_b'], etc.
answered Nov 15 '18 at 14:40
jppjpp
103k2167117
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
Use a dictionary
It's not a good idea to convert variable names to strings. If you need this functionality, construct a dictionary and feed key-value pairs to your function:
def df_2_sql(df, name):
df.to_sql(name, engine, index=False)
df_dict = 'df_table_a': df_table_a,
'df_table_b': df_table_b,
'df_table_c': df_table_c
for name, df in df_dict.items():
df_2_sql(df, name)
If this seems verbose and inefficient, note you must have defined df_table_a, df_table_b, etc earlier in your code somewhere. Just use a dictionary from the very beginning and assign to df_dict['df_table_a'], df_dict['df_table_b'], etc.
answered Nov 15 '18 at 14:40
jppjpp
103k2167117
add a comment |
Use a dictionary
It's not a good idea to convert variable names to strings. If you need this functionality, construct a dictionary and feed key-value pairs to your function:
def df_2_sql(df, name):
df.to_sql(name, engine, index=False)
df_dict = 'df_table_a': df_table_a,
'df_table_b': df_table_b,
'df_table_c': df_table_c
for name, df in df_dict.items():
df_2_sql(df, name)
If this seems verbose and inefficient, note you must have defined df_table_a, df_table_b, etc earlier in your code somewhere. Just use a dictionary from the very beginning and assign to df_dict['df_table_a'], df_dict['df_table_b'], etc.
answered Nov 15 '18 at 14:40
jppjpp
103k2167117
add a comment |
Use a dictionary
It's not a good idea to convert variable names to strings. If you need this functionality, construct a dictionary and feed key-value pairs to your function:
def df_2_sql(df, name):
df.to_sql(name, engine, index=False)
df_dict = 'df_table_a': df_table_a,
'df_table_b': df_table_b,
'df_table_c': df_table_c
for name, df in df_dict.items():
df_2_sql(df, name)
If this seems verbose and inefficient, note you must have defined df_table_a, df_table_b, etc earlier in your code somewhere. Just use a dictionary from the very beginning and assign to df_dict['df_table_a'], df_dict['df_table_b'], etc.
answered Nov 15 '18 at 14:40
jppjpp
103k2167117
Use a dictionary
It's not a good idea to convert variable names to strings. If you need this functionality, construct a dictionary and feed key-value pairs to your function:
def df_2_sql(df, name):
df.to_sql(name, engine, index=False)
df_dict = 'df_table_a': df_table_a,
'df_table_b': df_table_b,
'df_table_c': df_table_c
for name, df in df_dict.items():
df_2_sql(df, name)
If this seems verbose and inefficient, note you must have defined df_table_a, df_table_b, etc earlier in your code somewhere. Just use a dictionary from the very beginning and assign to df_dict['df_table_a'], df_dict['df_table_b'], etc.
answered Nov 15 '18 at 14:40
jppjpp
103k2167117
edited Nov 15 '18 at 15:03
answered Nov 15 '18 at 14:40
jppjpp
103k2167117
answered Nov 15 '18 at 14:40
jppjpp
103k2167117
answered Nov 15 '18 at 14:40
jppjpp
103k2167117
103k2167117
add a comment |
add a comment |
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You may find this useful.
– Shayn
Nov 15 '18 at 15:31