How to iterate column names in pandas

In order to iterate column names in pandas, use

how-to-iterate-column-names-in-pandas.py

for column in df.columns:
    print(columns)

for column in df.columns:
    print(columns)

For example, for the TechOverflow pandas time series example dataset, df.columnswill be

columns_index_example.py

Index(['Sine', 'Cosine'], dtype='object')

Index(['Sine', 'Cosine'], dtype='object')

so iterating over the columns using

iterate_columns_example.py

# Load pre-built time series example dataset
df = pd.read_csv("https://datasets.techoverflow.net/timeseries-example.csv", parse_dates=["Timestamp"])
df.set_index("Timestamp", inplace=True)

# Iterate over columns
for column in df.columns:
    print(column)

# Load pre-built time series example dataset
df = pd.read_csv("https://datasets.techoverflow.net/timeseries-example.csv", parse_dates=["Timestamp"])
df.set_index("Timestamp", inplace=True)

# Iterate over columns
for column in df.columns:
    print(column)

will print

iterate_columns_output.txt

Sine
Cosine

Sine
Cosine

Note that df.columns will notshow the index column!

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