When you will use Pandas DataFrame you certainly will need to access its columns.

Here two ways to access it :

• Using squared brackets
• Using dot

Generating the example DataFrame

# We create our dataframe example
df = pd.DataFrame({"col1":range(0,10)})

# We print it
print(df)

Using squared brackets

print(df["col1"])

df["col2"] = df["col1"] + 1

Using dot

print(df.col1)

Be careful with this method since it is not possible to have column names with spaces or weird characters and creating a new column is not possible like this.

df.col3 = df.col1 + 1 # This won't work
print(df.My Amzing Column) # This won't work

Here you are ! You are now an expert at accessing DataFrame columns !

More on DataFrames

If you want to know more about DataFrame and Pandas. Checkout the other articles I wrote on the topic, just here :

Pandas - The Python You Need

We gathered the only Python essentials that you will probably ever need.

The Python You Need