Pandas Dataframe is a two-dimensional, size-mutable, potentially heterogeneous tabular data.
Syntax: pandas.DataFrame(data=None, index=None, columns=None, dtype=None, copy=None)
Constructing DataFrame from a dictionary:
>>> d = {'col1': [1, 2], 'col2': [3, 4]}
>>> df = pd.DataFrame(data=d)
>>> df
col1 col2
0 1 3
1 2 4
Constructing DataFrame from a dictionary including Series:
>>> d = {'col1': [0, 1, 2, 3], 'col2': pd.Series([2, 3], index=[2, 3])}
>>> pd.DataFrame(data=d, index=[0, 1, 2, 3])
col1 col2
0 0 NaN
1 1 NaN
2 2 2.0
3 3 3.0
More information from the source: https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.html
https://en.wikipedia.org/wiki/Comma-separated_values
The .csv file extension stands for "comma-separated value” file.