Convert Column Names to Uppercase using str. where, df is the input dataframe and columns is the attribute to get the column labels as an Index Object. Then using the StringMethods. upper() we converted all labels to uppercase. It converted all the column labels to uppercase.
Answer. Yes, column names for dataframes are case sensitive. Dataframe column names are essentially string values, which are case sensitive in Python.
You can do it like this:
data.columns = map(str.lower, data.columns)
or
data.columns = [x.lower() for x in data.columns]
example:
>>> data = pd.DataFrame({'A':range(3), 'B':range(3,0,-1), 'C':list('abc')})
>>> data
A B C
0 0 3 a
1 1 2 b
2 2 1 c
>>> data.columns = map(str.lower, data.columns)
>>> data
a b c
0 0 3 a
1 1 2 b
2 2 1 c
You could do it easily with str.lower
for columns
:
df.columns = df.columns.str.lower()
Example:
In [63]: df
Out[63]:
country country isocode year XRAT tcgdp
0 Canada CAN 2001 1.54876 9.249094e+05
1 Canada CAN 2002 1.56932 9.572999e+05
2 Canada CAN 2003 1.40105 1.016902e+06
In [64]: df.columns = df.columns.str.lower()
In [65]: df
Out[65]:
country country isocode year xrat tcgdp
0 Canada CAN 2001 1.54876 9.249094e+05
1 Canada CAN 2002 1.56932 9.572999e+05
2 Canada CAN 2003 1.40105 1.016902e+06
If you want to do the rename using a chained method call, you can use
data.rename(
columns=unicode.lower
)
(Python 2)
or
data.rename(
columns=str.lower
)
(Python 3)
df.columns = df.columns.str.lower()
is the easiest but will give an error if some headers are numeric
if you have numeric headers then use this:
df.columns = [str(x).lower() for x in df.columns]
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