How to use 'pandas cast column to int' in Python

Every line of 'pandas cast column to int' code snippets is scanned for vulnerabilities by our powerful machine learning engine that combs millions of open source libraries, ensuring your Python code is secure.

All examples are scanned by Snyk Code

By copying the Snyk Code Snippets you agree to

niosh-mining/obsplus

107 def _time_cols_to_ints(df, columns=None, nat_value=SMALLDT64):
108     """
109     Converts all datetime columns to ints.
110 
111     Previously NaT were convertible to ints, but now they raise a value error.
112     We need, therefore, to designate a time that will be used as NaT.
113     """
114     cols = columns or df.select_dtypes(include=["datetime64"]).columns
115     df.loc[:, cols] = df.loc[:, cols].fillna(nat_value).astype(np.int64)
116     return df

107	def _time_cols_to_ints(df, columns=None, nat_value=SMALLDT64):
108	"""
109	Converts all datetime columns to ints.
110
111	Previously NaT were convertible to ints, but now they raise a value error.
112	We need, therefore, to designate a time that will be used as NaT.
113	"""
114	cols = columns or df.select_dtypes(include=["datetime64"]).columns
115	df.loc[:, cols] = df.loc[:, cols].fillna(nat_value).astype(np.int64)
116	return df

How to use 'pandas cast column to int' in Python

All examples are scanned by Snyk Code

Related snippets