How can I add two of my columns in my data frame to an np.array
I'm trying to add my two of the columns contained in my df dataframe but the error says 'DataFrame' object is not callable this is my code:
df = pd.read_csv('data.txt')
df.drop(['id'], 1, inplace=True)
#print(df)
x = np.array(df.drop(['S', 'T'], axis=1))
y = np.array(df(['S', 'T']))
python pandas numpy dataframe
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I'm trying to add my two of the columns contained in my df dataframe but the error says 'DataFrame' object is not callable this is my code:
df = pd.read_csv('data.txt')
df.drop(['id'], 1, inplace=True)
#print(df)
x = np.array(df.drop(['S', 'T'], axis=1))
y = np.array(df(['S', 'T']))
python pandas numpy dataframe
add a comment |
I'm trying to add my two of the columns contained in my df dataframe but the error says 'DataFrame' object is not callable this is my code:
df = pd.read_csv('data.txt')
df.drop(['id'], 1, inplace=True)
#print(df)
x = np.array(df.drop(['S', 'T'], axis=1))
y = np.array(df(['S', 'T']))
python pandas numpy dataframe
I'm trying to add my two of the columns contained in my df dataframe but the error says 'DataFrame' object is not callable this is my code:
df = pd.read_csv('data.txt')
df.drop(['id'], 1, inplace=True)
#print(df)
x = np.array(df.drop(['S', 'T'], axis=1))
y = np.array(df(['S', 'T']))
python pandas numpy dataframe
python pandas numpy dataframe
edited Nov 22 '18 at 2:25
jpp
95.7k2157109
95.7k2157109
asked Nov 22 '18 at 2:19
RedemptionRedemption
82
82
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1 Answer
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The error is correct. A pd.DataFrame
object is not callable. Use pd.DataFrame.__getitem__
or its syntactic sugar with a list of series:
y = np.array(df[['S', 'T']])
Or, better, use pd.DataFrame.values
:
y = df[['S', 'T']].values
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
The error is correct. A pd.DataFrame
object is not callable. Use pd.DataFrame.__getitem__
or its syntactic sugar with a list of series:
y = np.array(df[['S', 'T']])
Or, better, use pd.DataFrame.values
:
y = df[['S', 'T']].values
add a comment |
The error is correct. A pd.DataFrame
object is not callable. Use pd.DataFrame.__getitem__
or its syntactic sugar with a list of series:
y = np.array(df[['S', 'T']])
Or, better, use pd.DataFrame.values
:
y = df[['S', 'T']].values
add a comment |
The error is correct. A pd.DataFrame
object is not callable. Use pd.DataFrame.__getitem__
or its syntactic sugar with a list of series:
y = np.array(df[['S', 'T']])
Or, better, use pd.DataFrame.values
:
y = df[['S', 'T']].values
The error is correct. A pd.DataFrame
object is not callable. Use pd.DataFrame.__getitem__
or its syntactic sugar with a list of series:
y = np.array(df[['S', 'T']])
Or, better, use pd.DataFrame.values
:
y = df[['S', 'T']].values
answered Nov 22 '18 at 2:24
jppjpp
95.7k2157109
95.7k2157109
add a comment |
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