pandas description of dataframe renaming column values
dict = {
'Android': 'Android',
'Chrome OS': 'Chrome OS',
'Linux': 'Linux',
'Mac OS': 'macOS',
'No OS': 'No OS',
'Windows': 'Windows',
'macOS': 'macOS'
}
df['col'] = df['col'].map(dict)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_columnsCopyright © 2021 Codeinu
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