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
GeeksforGeeks
geeksforgeeks.org › convert-floats-to-integers-in-a-pandas-dataframe
Convert Floats to Integers in a Pandas DataFrame - GeeksforGeeks
December 1, 2023 - Syntax: Series.astype(dtype, copy=True, errors=âraiseâ) Parameters: This method will take following parameters: dtype: Data type to convert the series into. (for example str, float, int).c
python - Convert all elements in float Series to integer - Stack Overflow
I have a column, having float values,in a dataframe (so I am calling this column as Float series). I want to convert all the values to integer or just round it up so that there are no decimals. L... More on stackoverflow.com
python - convert pandas float series to int - Stack Overflow
I am discretizing my series for a learner. I really need the series to be in float, and I really need to avoid for loops. How do I convert this series from float to int? Here is my function th... More on stackoverflow.com
python - Convert float Series into an integer Series in pandas - Stack Overflow
I have the following data frame: In [31]: rise_p Out[31]: time magnitude 0 1379945444 156.627598 1 1379945447 1474.648726 2 1379945448 1477.448999 3 1379945449 1474.886202 4 More on stackoverflow.com
How to convert sparse pandas dataframe with `NaN` into integer values?
On my phone, so have not tested the code. #apparently this is not working #df[df.notnull()] = df[df.notnull()].apply(lambda x: int(x)) #int_slice = df.notnull() #df[int_slice] = df[int_slice].astype('int64') Ok, that did not work. Then first to get series for each column (or row) and then applying some if else to get ints. #this horrible piece of oneliner is working df = df.apply(lambda col: col.apply(lambda x: int(x) if pd.notnull(x) else x), axis=1) Still not convinced that they are really ints. You should use ´float_format´ when saving to csv. Or when saving the df use formatting to remove decimals ´'{:.0f}' (or '%.8f')´ df.to_csv(path, float_format='%.0f') There are probably better ways to handle your problem. edit. added float_format and oneliner More on reddit.com
14
2
August 26, 2016Floats and Integers | How To Python - YouTube
11:55
Python Tutorial for Beginners 3: Integers and Floats - Working ...
01:07
Convert String Float to Int in Python - YouTube
How to convert the integer to float in Python - YouTube
01:00
Python Float vs Integer - YouTube
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 - Use .astype("Int64") or fill/drop NaNs first. 2. What is the best method for converting floats to integers?
Top answer 1 of 4
7
round won't work as it's being called on a pandas Series which is array-like rather than a scalar value, there is the built in method pd.Series.round to operate on the whole Series array after which you can change the dtype using astype:
In [43]:
df = pd.DataFrame({'a':np.random.randn(5)})
df['a'] = df['a'] * 100
df
Out[43]:
a
0 -4.489462
1 -133.556951
2 -136.397189
3 -106.993288
4 -89.820355
In [45]:
df['a'] = df['a'].round(0).astype(int)
df
Out[45]:
a
0 -4
1 -134
2 -136
3 -107
4 -90
Also it's unnecessary to iterate over the rows when there are vectorised methods available
Also this:
for obj in df['a']:
obj =int(round(obj))
Does not mutate the individual cell in the Series, it's operating on a copy of the value which is why the df is not mutated.
2 of 4
2
The code in your loop:
obj = int(round(obj))
Only changes which object the name obj refers to. It does not modify the data stored in the series. If you want to do this you need to know where in the series the data is stored and update it there.
E.g.
for i, num in enumerate(df['a']):
df['a'].iloc[i] = int(round(obj))
Top answer 1 of 2
29
The regular python int function only works for scalars. You should either use a numpy function to round the data, either
s = np.round((s - s % bucket_size) / bucket_size) #to round properly; or
s = np.fix((s - s % bucket_size) / bucket_size) #to round towards 0
and if you actually want to convert to an integer type, use
s = s.astype(int)
to cast your array.
2 of 2
2
N.B. This answer is less efficient from the point of view that pandas is built on top of numpy. Please consider numpy if going for efficiency.
As for this answer, there is a significant amount of work done using pandas data frames, so adding additional conversion to numpy means writing extra code. So if one is performing an analysis in say jupyter notebook, then we can surely let the programming language do a bit of work under the hood.
Big thank you to @Chris for noticing this.
pandas version (theoretically less efficient than numpy)
Create a list with float values:
y = [0.1234, 0.6789, 0.5678]
Convert the list of float values to pandas Series
s = pd.Series(data=y)
Round values to three decimal values
print(s.round(3))
returns
0 0.123
1 0.679
2 0.568
dtype: float64
Convert to integer
print(s.astype(int))
returns
0 0
1 0
2 0
dtype: int64
Pipe it all
pd.Series(data=y).round(3)
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.
Top answer 1 of 3
16
Try converting with astype:
new_re_df = [s.iloc[np.where(ts.astype(int) == int(i))] for i in ts]
Edit
On suggestion by @Rutger Kassies a nicer way would be to cast series and then groupby:
rise_p['ts'] = (rise_p.time / 100).astype('int')
ts_grouped = rise_p.groupby('ts')
...
2 of 3
4
Here's a different way to solve your problem
In [3]: df
Out[3]:
time magnitude
0 1379945444 156.627598
1 1379945447 1474.648726
2 1379945448 1477.448999
3 1379945449 1474.886202
4 1379945699 1371.454224
In [4]: df.dtypes
Out[4]:
time int64
magnitude float64
dtype: object
Convert your epoch timestamps to seconds
In [7]: df['time'] = pd.to_datetime(df['time'],unit='s')
Set the index
In [8]: df.set_index('time',inplace=True)
In [9]: df
Out[9]:
magnitude
time
2013-09-23 14:10:44 156.627598
2013-09-23 14:10:47 1474.648726
2013-09-23 14:10:48 1477.448999
2013-09-23 14:10:49 1474.886202
2013-09-23 14:14:59 1371.454224
Groupby 1min and mean the results (how= can be an arbitrary function as well)
In [10]: df.resample('1Min',how=np.mean)
Out[10]:
magnitude
time
2013-09-23 14:10:00 1145.902881
2013-09-23 14:11:00 NaN
2013-09-23 14:12:00 NaN
2013-09-23 14:13:00 NaN
2013-09-23 14:14:00 1371.454224
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 - We then printed the data types of all columns in the DataFrame using the dtypes attribute, which shows us that Column1 is now an integer. One thing to keep in mind when converting float to integer in Pandas is that any missing values (NaN) in the column will cause the conversion to fail.
Manifoldapp
cuny.manifoldapp.org › read › how-to-code-in-python-3 › section › 517db09e-e5a2-4b02-bd3d-d5406a3b40a8
How To Convert Data Types | How To Code in Python 3 | Manifold @CUNY
By using the float() function, we can convert integers to floats. Python also has a built-in function to convert floats to integers: int().
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}")
Scaler
scaler.com › home › topics › convert float to int in python
Program to Convert Float to Int Python - Scaler Topics
August 22, 2023 - Using the round() method, a float value can be converted to an int value, which is the closest integer value. When there is an equal difference between smaller and larger values, the larger integer is chosen. ... Return Value: This method returns an integer value rounding the given value to ...
Medium
medium.com › @amit25173 › different-ways-to-convert-numpy-float-to-int-f47f3be42453
Different Ways to Convert NumPy Float to Int | by Amit Yadav | Medium
April 12, 2025 - You might be wondering: “What if I’m working with really big numbers? Can I lose data when converting to integers?” · Yes! By default, NumPy converts floats to 32-bit integers (int32), which means you could run into overflow issues if your numbers are large.
Spark By {Examples}
sparkbyexamples.com › home › pandas › pandas convert float to integer in dataframe
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
YouTube
youtube.com › watch
How To Turn Float Into Int Python - YouTube
In this python tutorial, we answer the question of how to turn float into int python. We show you 2 different methods on how to convert a float type into an ...
Published: January 18, 2021
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-float-to-int-python
How to Convert Float to Int in Python?
March 20, 2025 - The int() function truncates the decimal part and returns only the integer portion of the float. This means it always rounds toward zero, discarding any decimal values. Check out How to Read Tab-Delimited Files in Python? Sometimes simply truncating a float isn’t what you want. Python offers several ways to round numbers before converting them to integers.
Python Tutorial
pythontutorial.net › home › advanced python › python float to int
How To Convert a Float to an Int in Python
February 20, 2021 - In this tutorial, you'll learn how to convert a float to an integer using the truncation, floor, ceiling functions.
Altcademy
altcademy.com › blog › how-to-convert-float-to-int-in-python
How to convert float to int in Python - Altcademy.com
September 7, 2023 - In this code, round(x) rounds the float x to the nearest whole number (4 in this case), and then int() converts that rounded float to an integer. It's like if you're 3.99 steps up a staircase, rounding would say you're closer to the 4th step ...
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 - This tutorial will help you get started by introducing you to the int and a float in Python and demonstrating how to perform data type conversion using NumPy.
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