如何使用 Pandas 的 astype方法将数据类型转换为int64

DataFrame或Series.astype('int64')

import pandas as pd

data = {'column1': ['1', '2', '3'], 'column2': ['4', '5', '6']}
df = pd.DataFrame(data)
df = df.astype('int64')
print(df)

import pandas as pd

data = {'column1': ['1', '2', '3'], 'column2': ['4.0', '5.1', '6.2']}
df = pd.DataFrame(data)
df['column1'] = df['column1'].astype('int64')
print(df)

import pandas as pd

data = {'column1': ['1', '2', None], 'column2': ['4.0', '5.1', '6.2']}
df = pd.DataFrame(data)
df['column1'] = df['column1'].astype('float').astype('int64', errors='ignore')
print(df)

import pandas as pd

data = {'column1': ['1', '2', '3'], 'column2': ['4', '5', '6'], 'column3': ['7', '8', '9']}
df = pd.DataFrame(data)
df = df.astype({'column1': 'int64', 'column2': 'int64', 'column3': 'int64'})
print(df)

import pandas as pd

s = pd.Series(['1', '2', '3'])
s = s.astype('int64')
print(s)

import pandas as pd

data = {'column1': [1.0, 2.5, 3.1], 'column2': [4, 5, 6]}
df = pd.DataFrame(data)
df['column1'] = df['column1'].astype('int64')
print(df)

import pandas as pd

data = {'column1': ['1', 'two', '3'], 'column2': ['4', '5', '6']}
df = pd.DataFrame(data)
df['column1'] = df['column1'].astype('int64', errors='ignore')
print(df)

import pandas as pd

data = {'column1': ['1', '2', '3'], 'column2': ['4.0', '5.1', '6.2'], 'column3': ['7', '8', '9']}
df = pd.DataFrame(data)
df = df.astype({'column1': 'int64', 'column2': 'float', 'column3': 'int64'})
print(df)

import pandas as pd

data = {'date': ['2021-01-01', '2021-01-02', '2021-01-03']}
df = pd.DataFrame(data)
df['date'] = pd.to_datetime(df['date']).astype('int64')
print(df)

import pandas as pd

data = {'column1': ['-1', '-2', '-3'], 'column2': ['4', '5', '6']}
df = pd.DataFrame(data)
df['column1'] = df['column1'].astype('int64')
print(df)