pandas.Series = (
{key : value}
)
pandas.DataFrame = (
{key : value},
{key : value},
{key : value},
index=[]
)
Add new column
pandas.DataFrame['col_name'] = value
value can be a series of vectors or dictionary
pd.Series({0:'first', 1:'second'})
placeholder strategy
df['feedback'] = ['+', None, '-']
turn index into auto incrementing default numbers
guaranteed unique
df.reset_index()
join dataframes
Pandas data types http://pandas.pydata.org/pandas-docs/stable/basics.html#dtypes
df.to_csv() export dataframe as csv
data = pd.read_csv("data.csv", sep = '\t', nrows = nrows)
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Error Message Hardhat debugging error unsupported engine hardhat, current node v18
Error message npm WARN EBADENGINE Unsupported engine { package: 'hardhat@2.9.3', required: { node: '^12.0.0 || 14.0.0 || 16.0.0...

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