To modify the float output do this:
df= pd.DataFrame(range(5), columns=['a'])
df.a = df.a.astype(float)
df
Out[33]:
a
0 0.0000000
1 1.0000000
2 2.0000000
3 3.0000000
4 4.0000000
pd.options.display.float_format = '{:,.0f}'.format
df
Out[35]:
a
0 0
1 1
2 2
3 3
4 4
Top answer 1 of 11
311
To modify the float output do this:
df= pd.DataFrame(range(5), columns=['a'])
df.a = df.a.astype(float)
df
Out[33]:
a
0 0.0000000
1 1.0000000
2 2.0000000
3 3.0000000
4 4.0000000
pd.options.display.float_format = '{:,.0f}'.format
df
Out[35]:
a
0 0
1 1
2 2
3 3
4 4
2 of 11
288
Use the pandas.DataFrame.astype(<type>) function to manipulate column dtypes.
>>> df = pd.DataFrame(np.random.rand(3,4), columns=list("ABCD"))
>>> df
A B C D
0 0.542447 0.949988 0.669239 0.879887
1 0.068542 0.757775 0.891903 0.384542
2 0.021274 0.587504 0.180426 0.574300
>>> df[list("ABCD")] = df[list("ABCD")].astype(int)
>>> df
A B C D
0 0 0 0 0
1 0 0 0 0
2 0 0 0 0
EDIT:
To handle missing values:
>>> df
A B C D
0 0.475103 0.355453 0.66 0.869336
1 0.260395 0.200287 NaN 0.617024
2 0.517692 0.735613 0.18 0.657106
>>> df[list("ABCD")] = df[list("ABCD")].fillna(0.0).astype(int)
>>> df
A B C D
0 0 0 0 0
1 0 0 0 0
2 0 0 0 0
Statology
statology.org › home › how to convert floats to integers in pandas
How to Convert Floats to Integers in Pandas
June 1, 2022 - We can see that the points column is now an integer, while all other columns remained unchanged. The following code shows how to convert multiple columns in a DataFrame from a float to an integer:
Python Guides
pythonguides.com › convert-floats-to-integer-in-pandas
How to Convert Float to Int in Pandas
May 26, 2025 - Learn 5 efficient ways to convert float to int in Pandas: using astype(), round(), apply(), NumPy functions, and how to handle NaN values during conversion.
GeeksforGeeks
geeksforgeeks.org › convert-floats-to-integers-in-a-pandas-dataframe
Convert Floats to Integers in a Pandas DataFrame - GeeksforGeeks
December 1, 2023 - In this example, the code begins by importing the NumPy module as 'np.' It then displays the data types of DataFrame 'df.' After that, it converts the 'Field_2' column from float to int using NumPy's int64 data type and displays the updated data types.
Spark By {Examples}
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Pandas Convert Float to Integer in DataFrame - Spark By {Examples}
November 22, 2024 - Use pandas DataFrame.astype(int) and DataFrame.apply() methods to cast float column to integer(int/int64) type. I believe you would know float is bigger
w3resource
w3resource.com › python-exercises › pandas › python-pandas-data-frame-exercise-51.php
Pandas: Convert the datatype of a given column(floats to ints) - w3resource
September 6, 2025 - import pandas as pd import numpy as np exam_data = {'name': ['Anastasia', 'Dima', 'Katherine', 'James', 'Emily', 'Michael', 'Matthew', 'Laura', 'Kevin', 'Jonas'], 'score': [12.5, 9.1, 16.5, 12.77, 9.21, 20.22, 14.5, 11.34, 8.8, 19.13], 'attempts': [1, 3, 2, 3, 2, 3, 1, 1, 2, 1], 'qualify': ['yes', 'no', 'yes', 'no', 'no', 'yes', 'yes', 'no', 'no', 'yes']} df = pd.DataFrame(exam_data) print("Original DataFrame:") print(df) print("\nData types of the columns of the said DataFrame:") print(df.dtypes) print("\nNow change the Data type of 'score' column from float to int:") df.score = df.score.astype(int) print(df) print("\nData types of the columns of the DataFrame now:") print(df.dtypes)
Data to Fish
datatofish.com › floats-to-integers-dataframe
How to Convert Floats to Integers in a pandas DataFrame
df['column_a'] = df['column_a'... object count float64 dtype: object · That is, column count is of type float. You can use the astype function to convert the floats to integers:...
Saturn Cloud
saturncloud.io › blog › how-to-read-rows-and-convert-float-to-integer-in-pandas
How to Read Rows and Convert Float to Integer in Pandas | Saturn Cloud Blog
May 1, 2026 - Once we have read in our data, we can start converting float to integer using Pandas. The most common way to convert a float to an integer in Pandas is to use the astype() method, which allows us to cast a column to a different data type.
Statistics Globe
statisticsglobe.com › home › python programming language for statistics & data science › convert float to integer in pandas dataframe column in python (4 examples)
Convert Float to Integer in pandas DataFrame Column (Python Example)
May 2, 2022 - Have a look at the previous Python console output. It shows that our pandas DataFrame contains six rows and three columns. Let’s check the classes of our DataFrame columns: print(data.dtypes) # Check data types of columns # x1 float64 # x2 float64 # x3 float64 # dtype: object · All columns in our example data set have the float data type. In this section, I’ll show how to convert one single column of a pandas DataFrame from the float class to the integer data type in Python.
GeeksforGeeks
geeksforgeeks.org › python › how-to-convert-float-to-int-in-python
How to convert Float to Int in Python? - GeeksforGeeks
May 10, 2025 - In Python, you can convert a float to an integer using type conversion.
Python Guides
pythonguides.com › convert-float-to-int-python
How to Convert Float to Int in Python?
March 20, 2025 - Let us learn how to convert float to int in Python using various methods with examples. ... The most simple way to convert a float to an integer in Python is by using the built-in int() function.
Medium
medium.com › @amit25173 › pandas-float-to-int-a-practical-guide-a288ab2fe3d9
Pandas Float to Int: A Practical Guide | by Amit Yadav | Medium
March 6, 2025 - If your column contains NaN values, Pandas cannot convert it to a standard integer type. Use .astype("Int64") or fill/drop NaNs first. 2. What is the best method for converting floats to integers?
Appdividend
appdividend.com › converting-floats-to-integers-in-a-pandas-dataframe
How to Convert Floats to Integers in a Pandas DataFrame
September 7, 2025 - Learn how to convert Floats to Integers in a Pandas DataFrame using .astype() method with different types. You can also use .apply() method.
Top answer 1 of 2
15
consider df
df = pd.DataFrame(np.random.rand(10, 10) * 10)
use np.r_ to get slc
slc = np.r_[0:4, 6]
df[slc] = df[slc].astype(int)
df
or pass a dictionary of types with keys as column names
df.astype({c: int for c in slc})
2 of 2
7
I was getting an error as some of my column values were NaN which obviously can not be converted to int. So a better approach would be to handle NaN before converting the datatype and avoid ValueError: Cannot convert non-finite values (NA or inf) to integer.
df['col_name'] = df['col_name'].fillna(0).astype(int)
This fills NaN with 0 and then converts to the desired datatype which is int in this case.
GoLinuxCloud
golinuxcloud.com › home › databases › pandas › 7 ways to convert pandas dataframe column to int
7 ways to convert pandas DataFrame column to int | GoLinuxCloud
January 24, 2022 - Here we are going to convert the float type column in DataFrame to integer type using astype() method.
Spark By {Examples}
sparkbyexamples.com › home › pandas › pandas convert column to int in dataframe
Pandas Convert Column to Int in DataFrame - Spark By {Examples}
June 26, 2025 - How to convert the Pandas column to int in DataFrame? You can use DataFrame.astype(int) or DataFrame.apply() method to convert a column to int
Pandas
pandas.pydata.org › pandas-docs › stable › reference › api › pandas.to_numeric.html
pandas.to_numeric — pandas 3.0.2 documentation - PyData |
Convert dtypes. ... >>> s = pd.Series(["1.0", "2", -3]) >>> pd.to_numeric(s) 0 1.0 1 2.0 2 -3.0 dtype: float64 >>> pd.to_numeric(s, downcast="float") 0 1.0 1 2.0 2 -3.0 dtype: float32 >>> pd.to_numeric(s, downcast="signed") 0 1 1 2 2 -3 dtype: int8 >>> s = pd.Series(["apple", "1.0", "2", -3]) >>> pd.to_numeric(s, errors="coerce") 0 NaN 1 1.0 2 2.0 3 -3.0 dtype: float64
Medium
medium.com › @ryan_forrester_ › converting-floats-to-integers-in-python-a-complete-guide-9ec8c994327d
Converting Floats to Integers in Python: A Complete Guide | by ryan | Medium
November 4, 2024 - Args: readings: List of float readings resolution: Sensor resolution (minimum meaningful change) Returns: List of processed integer readings """ processed = [] for reading in readings: # First round to the sensor's resolution rounded = round(reading / resolution) * resolution # Then convert to integer if needed processed.append(int(rounded)) return processed # Example with temperature readings temperature_readings = [ 22.4, 22.6, 22.3, 22.7, 22.5, # Regular readings 22.51, 22.49, # Close readings float('nan'), # Error reading 23.0 # Exact reading ] # Process with different resolutions resolutions = [0.5, 1.0] for res in resolutions: print(f"\nProcessing with resolution: {res}°C") try: processed = process_sensor_readings(temperature_readings, res) print(f"Original: {temperature_readings}") print(f"Processed: {processed}") except Exception as e: print(f"Error: {e}")
YouTube
youtube.com › watch
Convert datatypes using Python Pandas - Float and String to integer - YouTube
Code:import pandas as pddf=pd.read_csv('C:/temp/convert.txt',sep=';')print(df.dtypes)df['Decimals']=df['Decimals'].astype(int)df['Comma']=df['Comma'].str.rep
Published: April 17, 2020
365 Data Science
365datascience.com › blog › tutorials › python tutorials › how to convert float to int in python
How to Convert Float to Int in Python – 365 Data Science
April 21, 2023 - We can perform something called “casting a floating-point number to an integer” to convert our data types. Essentially, it’s transforming a float to an int in Python.