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  1. round(5.59, 1) is working fine. The problem is that 5.6 cannot be represented exactly in binary floating point. >>> 5.6 5.5999999999999996 >>> As Vinko says, you can use string formatting to do rounding for display. Python has a module for decimal arithmetic if you need that.

  2. df.round(1) didn't round as expected (e.g. .400000000123) but df.astype('float64').round(1) worked. Significantly, the dtype of df is float32 . Apparently round() doesn't work properly on float32 .

  3. 14 maj 2021 · I have a dataframe with large set of records. When this dataframe is converted to CSV it give accurate results with all digits after decimals. However the same dataframe when converted to excel (xlsx) then the Decimal Values get rounded off in the Excel sheet (most of them up to two decimal places). For example:

  4. 1 lut 2024 · Pandas round () function rounds a DataFrame value to a number with given decimal places. This function provides the flexibility to round different columns by different decimal places. Example: Python3. import pandas as pd . import numpy as np . np.random.seed(25) . df = pd.DataFrame(np.random.random([5, 4]), columns =["A", "B", "C", "D"]) .

  5. If you first take the absolute value of n using Python’s built-in abs() function, then you can just use round_half_up() to round the number. Then all you need to do is give the rounded number the same sign as n .

  6. 11 lut 2021 · Apparently, the round() function in Python doesn't work the way it works in MS Excel or in maths. In Python, for example, round(5.5) and round(6.5)…

  7. 22 sie 2023 · In this post, we share some useful tips, tricks, and lessons learned since diving into the new Python in Excel integration. You can follow along with these tips by opening an Excel workbook and trying to replicate the code and described behaviors.

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