why drop row got error AttributeError: 'DataFrame' object has no attribute 'No'
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Hi I am trying to drop a row from a Data frame, loaded from a CSV file:
no_show_raw_data = pd.read_csv("noshowappointments.csv")
df = no_show_raw_data
new_df = df[df.No-show != 'No']
but i get this error:
AttributeError: 'DataFrame' object has no attribute 'No'
pandas csv attributeerror
asked Nov 24 '18 at 12:11
Fernando NogueraFernando Noguera
83
add a comment |
0
Hi I am trying to drop a row from a Data frame, loaded from a CSV file:
no_show_raw_data = pd.read_csv("noshowappointments.csv")
df = no_show_raw_data
new_df = df[df.No-show != 'No']
but i get this error:
AttributeError: 'DataFrame' object has no attribute 'No'
pandas csv attributeerror
asked Nov 24 '18 at 12:11
Fernando NogueraFernando Noguera
83
add a comment |
0
0
0
Hi I am trying to drop a row from a Data frame, loaded from a CSV file:
no_show_raw_data = pd.read_csv("noshowappointments.csv")
df = no_show_raw_data
new_df = df[df.No-show != 'No']
but i get this error:
AttributeError: 'DataFrame' object has no attribute 'No'
pandas csv attributeerror
asked Nov 24 '18 at 12:11
Fernando NogueraFernando Noguera
83
Hi I am trying to drop a row from a Data frame, loaded from a CSV file:
no_show_raw_data = pd.read_csv("noshowappointments.csv")
df = no_show_raw_data
new_df = df[df.No-show != 'No']
but i get this error:
AttributeError: 'DataFrame' object has no attribute 'No'
pandas csv attributeerror
pandas csv attributeerror
asked Nov 24 '18 at 12:11
Fernando NogueraFernando Noguera
83
asked Nov 24 '18 at 12:11
Fernando NogueraFernando Noguera
83
asked Nov 24 '18 at 12:11
Fernando NogueraFernando Noguera
83
asked Nov 24 '18 at 12:11
Fernando NogueraFernando Noguera
83
asked Nov 24 '18 at 12:11
Fernando NogueraFernando Noguera
83
83
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
1
The columns No-show has a minus sign in the name, try brackets instead:
no_show_raw_data = pd.read_csv("noshowappointments.csv")
df = no_show_raw_data
new_df = df[df['No-show'] != 'No']
answered Nov 24 '18 at 13:30
576i576i
2,51011335
it worked perfectly, thanks!
– Fernando Noguera
Nov 26 '18 at 1:37
If it worked for you, please mark this question as solved, so it's no longer open.
– 576i
Nov 26 '18 at 10:45
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
1
The columns No-show has a minus sign in the name, try brackets instead:
no_show_raw_data = pd.read_csv("noshowappointments.csv")
df = no_show_raw_data
new_df = df[df['No-show'] != 'No']
answered Nov 24 '18 at 13:30
576i576i
2,51011335
it worked perfectly, thanks!
– Fernando Noguera
Nov 26 '18 at 1:37
If it worked for you, please mark this question as solved, so it's no longer open.
– 576i
Nov 26 '18 at 10:45
add a comment |
1
The columns No-show has a minus sign in the name, try brackets instead:
no_show_raw_data = pd.read_csv("noshowappointments.csv")
df = no_show_raw_data
new_df = df[df['No-show'] != 'No']
answered Nov 24 '18 at 13:30
576i576i
2,51011335
it worked perfectly, thanks!
– Fernando Noguera
Nov 26 '18 at 1:37
If it worked for you, please mark this question as solved, so it's no longer open.
– 576i
Nov 26 '18 at 10:45
add a comment |
1
1
1
The columns No-show has a minus sign in the name, try brackets instead:
no_show_raw_data = pd.read_csv("noshowappointments.csv")
df = no_show_raw_data
new_df = df[df['No-show'] != 'No']
answered Nov 24 '18 at 13:30
576i576i
2,51011335
The columns No-show has a minus sign in the name, try brackets instead:
no_show_raw_data = pd.read_csv("noshowappointments.csv")
df = no_show_raw_data
new_df = df[df['No-show'] != 'No']
answered Nov 24 '18 at 13:30
576i576i
2,51011335
answered Nov 24 '18 at 13:30
576i576i
2,51011335
answered Nov 24 '18 at 13:30
576i576i
2,51011335
answered Nov 24 '18 at 13:30
576i576i
2,51011335
2,51011335
it worked perfectly, thanks!
– Fernando Noguera
Nov 26 '18 at 1:37
If it worked for you, please mark this question as solved, so it's no longer open.
– 576i
Nov 26 '18 at 10:45
add a comment |
it worked perfectly, thanks!
– Fernando Noguera
Nov 26 '18 at 1:37
If it worked for you, please mark this question as solved, so it's no longer open.
– 576i
Nov 26 '18 at 10:45
it worked perfectly, thanks!
– Fernando Noguera
Nov 26 '18 at 1:37
it worked perfectly, thanks!
– Fernando Noguera
Nov 26 '18 at 1:37
If it worked for you, please mark this question as solved, so it's no longer open.
– 576i
Nov 26 '18 at 10:45
If it worked for you, please mark this question as solved, so it's no longer open.
– 576i
Nov 26 '18 at 10:45
add a comment |
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