column dataframe to int
df[[column_name]].astype(int)column of type int to date pandas
df['DataFrame Column'] = pd.to_datetime(df['DataFrame Column'], format=specify your format)
#Example
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)convert a pandas column to int
# convert Series
my_series = pd.to_numeric(my_series)
# convert column "a" of a DataFrame
df["a"] = pd.to_numeric(df["a"])Copyright © 2021 Codeinu
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