pandas change dtype to timestamp
pd.to_datetime(df.column)pandas change dtype to timestamp
pd.to_datetime(df.column)date parser python pandas
import pandas as pd
values = {'dates': ['20190902','20190913','20190921'],
'status': ['Opened','Opened','Closed']
}
df = pd.DataFrame(values, columns = ['dates','status'])
df['dates'] = pd.to_datetime(df['dates'], format='%Y%m%d')
print (df)
print (df.dtypes)string df format pandas
df.head(10).style.format({"BasePay": "${:20,.0f}",
"OtherPay": "${:20,.0f}",
"TotalPay": "${:20,.0f}",
"TotalPayBenefits":"${:20,.0f}"})
.format({"JobTitle": lambda x:x.lower(),
"EmployeeName": lambda x:x.lower()})
.hide_index()
.applymap(lambda x: f”color: {‘red’ if isinstance(x,str) else ‘black’}”)Copyright © 2021 Codeinu
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