change column name df
>>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
>>> df.rename(columns={"A": "a", "B": "c"})
a c
0 1 4
1 2 5
2 3 6
change column name df
>>> df = pd.DataFrame({"A": [1, 2, 3], "B": [4, 5, 6]})
>>> df.rename(columns={"A": "a", "B": "c"})
a c
0 1 4
1 2 5
2 3 6
pandas description of dataframe renaming column values
def modified_col (col):
col = col.strip()#removes white space
col = col.replace('Operating System','os')
col = col.replace(' ','_')
col = col.replace(')','')#removes (
col = col.replace('(','')
col = col.lower()
return col
new_columns = []
for new_col in df.columns:
clean_col = modified_col(new_col)
new_columns.append(clean_col)
df.columns = new_columns
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