Convert Float Column to Integer Data Type in pandas DataFrame in Python (3 Examples)

import pandas as pd                           # Import pandas library to Python

import pandas as pd # Import pandas library to Python

df = pd.DataFrame({'A':[4.1, 9, 12, 1, 7],    # Constructing a pandas DataFrame
                   'B':[10.1, 9, 77, 22, 24],
                   'C':[35.1, 41, 41, 1, 13]})
print(df)
#       A     B     C
# 0   4.1  10.1  35.1
# 1   9.0   9.0  41.0
# 2  12.0  77.0  41.0
# 3   1.0  22.0   1.0
# 4   7.0  24.0  13.0

df = pd.DataFrame({'A':[4.1, 9, 12, 1, 7], # Constructing a pandas DataFrame 'B':[10.1, 9, 77, 22, 24], 'C':[35.1, 41, 41, 1, 13]}) print(df) # A B C # 0 4.1 10.1 35.1 # 1 9.0 9.0 41.0 # 2 12.0 77.0 41.0 # 3 1.0 22.0 1.0 # 4 7.0 24.0 13.0

print(df.dtypes)                              # Printing the data types of all columns
# A    float64
# B    float64
# C    float64
# dtype: object

print(df.dtypes) # Printing the data types of all columns # A float64 # B float64 # C float64 # dtype: object

df1 = df.copy()                               # Duplicate pandas DataFrame
df1['A'] = df1['A'].astype(int)               # Converting float to integer

df1 = df.copy() # Duplicate pandas DataFrame df1['A'] = df1['A'].astype(int) # Converting float to integer

print(df1.dtypes)                             # Printing the data types of all columns
# A      int32
# B    float64
# C    float64
# dtype: object

print(df1.dtypes) # Printing the data types of all columns # A int32 # B float64 # C float64 # dtype: object

df2 = df.copy()                               # Duplicate pandas DataFrame
df2 = df2.astype({'A': int, 'C': int})        # Converting float to integer

df2 = df.copy() # Duplicate pandas DataFrame df2 = df2.astype({'A': int, 'C': int}) # Converting float to integer

print(df2.dtypes)                             # Printing the data types of all columns
# A      int32
# B    float64
# C      int32
# dtype: object

print(df2.dtypes) # Printing the data types of all columns # A int32 # B float64 # C int32 # dtype: object

df3 = df.copy()                               # Duplicate pandas DataFrame
df3 = df3.astype(int)                         # Converting float to integer

df3 = df.copy() # Duplicate pandas DataFrame df3 = df3.astype(int) # Converting float to integer

print(df3.dtypes)                             # Printing the data types of all columns
# A    int32
# B    int32
# C    int32
# dtype: object

print(df3.dtypes) # Printing the data types of all columns # A int32 # B int32 # C int32 # dtype: object